The purpose of this blog is the creation of an open, international, independent and free forum, where every UFO-researcher can publish the results of his/her research. The languagues, used for this blog, are Dutch, English and French.You can find the articles of a collegue by selecting his category. Each author stays resposable for the continue of his articles. As blogmaster I have the right to refuse an addition or an article, when it attacks other collegues or UFO-groupes.
Druk op onderstaande knop om te reageren in mijn forum
Zoeken in blog
Deze blog is opgedragen aan mijn overleden echtgenote Lucienne.
In 2012 verloor ze haar moedige strijd tegen kanker!
In 2011 startte ik deze blog, omdat ik niet mocht stoppen met mijn UFO-onderzoek.
BEDANKT!!!
Een interessant adres?
UFO'S of UAP'S, ASTRONOMIE, RUIMTEVAART, ARCHEOLOGIE, OUDHEIDKUNDE, SF-SNUFJES EN ANDERE ESOTERISCHE WETENSCHAPPEN - DE ALLERLAATSTE NIEUWTJES
UFO's of UAP'S in België en de rest van de wereld Ontdek de Fascinerende Wereld van UFO's en UAP's: Jouw Bron voor Onthullende Informatie!
Ben jij ook gefascineerd door het onbekende? Wil je meer weten over UFO's en UAP's, niet alleen in België, maar over de hele wereld? Dan ben je op de juiste plek!
België: Het Kloppend Hart van UFO-onderzoek
In België is BUFON (Belgisch UFO-Netwerk) dé autoriteit op het gebied van UFO-onderzoek. Voor betrouwbare en objectieve informatie over deze intrigerende fenomenen, bezoek je zeker onze Facebook-pagina en deze blog. Maar dat is nog niet alles! Ontdek ook het Belgisch UFO-meldpunt en Caelestia, twee organisaties die diepgaand onderzoek verrichten, al zijn ze soms kritisch of sceptisch.
Nederland: Een Schat aan Informatie
Voor onze Nederlandse buren is er de schitterende website www.ufowijzer.nl, beheerd door Paul Harmans. Deze site biedt een schat aan informatie en artikelen die je niet wilt missen!
Internationaal: MUFON - De Wereldwijde Autoriteit
Neem ook een kijkje bij MUFON (Mutual UFO Network Inc.), een gerenommeerde Amerikaanse UFO-vereniging met afdelingen in de VS en wereldwijd. MUFON is toegewijd aan de wetenschappelijke en analytische studie van het UFO-fenomeen, en hun maandelijkse tijdschrift, The MUFON UFO-Journal, is een must-read voor elke UFO-enthousiasteling. Bezoek hun website op www.mufon.com voor meer informatie.
Samenwerking en Toekomstvisie
Sinds 1 februari 2020 is Pieter niet alleen ex-president van BUFON, maar ook de voormalige nationale directeur van MUFON in Vlaanderen en Nederland. Dit creëert een sterke samenwerking met de Franse MUFON Reseau MUFON/EUROP, wat ons in staat stelt om nog meer waardevolle inzichten te delen.
Let op: Nepprofielen en Nieuwe Groeperingen
Pas op voor een nieuwe groepering die zich ook BUFON noemt, maar geen enkele connectie heeft met onze gevestigde organisatie. Hoewel zij de naam geregistreerd hebben, kunnen ze het rijke verleden en de expertise van onze groep niet evenaren. We wensen hen veel succes, maar we blijven de autoriteit in UFO-onderzoek!
Blijf Op De Hoogte!
Wil jij de laatste nieuwtjes over UFO's, ruimtevaart, archeologie, en meer? Volg ons dan en duik samen met ons in de fascinerende wereld van het onbekende! Sluit je aan bij de gemeenschap van nieuwsgierige geesten die net als jij verlangen naar antwoorden en avonturen in de sterren!
Heb je vragen of wil je meer weten? Aarzel dan niet om contact met ons op te nemen! Samen ontrafelen we het mysterie van de lucht en daarbuiten.
15-12-2018
Scientists are able to shrink objects
Scientists are able to shrink objects
For the first time, researchers have produced nano-objects by shrinking. First, they assembled 3D objects in a special hydrogel, then an acid caused the gel and its contents to shrink. The 3D design thus became an object ten to a thousand times smaller - without distortions or defects. The big advantage: this "implosion fabrication" method is feasible with conventional technology and enables completely new nanoconstructs, as the researchers report in the specialist journal "Science".
Many research labs are already stocked with the equipment required for this kind of fabrication. Credit: The researchers
Team invents method to shrink objects to the nanoscale
Researchers at the Massachusetts Institute of Technology (MIT) have developed a method that, for the first time, produces detailed 3D objects on a nanoscale - by shrinking. To do this, they first position the components of the object in a larger pre-variant. Then they shrink the whole thing and create the desired object in nano format.
This so-called "implosion fabrication" is made possible by a special hydrogel made of polyacrylate/polyacrylamide. If, for example, this gel is exposed to an acid, the water content and the chemical bonds change so that the entire gel contracts evenly.
Complex 3D structures on the nanoscale - produced by shrinking. A 3D pattern created using implosion fabricationCredit: MIT/ Daniel Oran
The new method considerably expands the existing possibilities of nano-fabrication, as the researchers emphasize:
"With implosion fabrication, we can produce all kinds of structures, gradients, unconnected shapes or objects from several materials"
The big advantage is that these 3D structures can be assembled and designed before shrinking with a precision that is hardly possible in nano size.
Basic lab equipment can produce minuscule 3D-printed objects
Ed Boyden and colleagues
Alice in Wonderland created using implosion fabrication before and after shrinking - But Boyden thinks it can go much smaller. In a handful of tests, they were able to expand and shrink the structure by 8000 times.
DeepMind is on the forefront of artificial intelligence (A.I.). The computer system it developed, known as AlphaZero, amazed (and terrified) the world in 2017 when it was able to defeat human chess masters at their own game, despite only learning it four hours previous to the matches. That machine has been tested numerous times by even more chess grandmasters, and now people are seeing it do something not yet seen within machines – it is improvising.
Not only was AlphaZero a master at chess, it has also taught itself games such as shogi, commonly called Japanese chess, and Go. In each attempt, AlphaZero was able to beat the previous world champions of the games, who were all human. On DeepMind’s website, developers say they are “thrilled” to see the program developing improvisation and intuition skills, which are not previously known to be in machines.
In a paper published in Science Magazine, it is stated the machine’s ability to master the complicated game of Go and defeat the world champion showed it had use of “deep convolutional neural networks” because it developed a massive knowledge of the game simply by playing it repeatedly to the point the writers of the paper said it has “superhuman performance” in the game.
Computers have been beating humans at chess since 1997, but the addition of shogi, which is far more complicated than chess, and Go, which relies on practice and intuition, shows AlphaZero is able to not only defeat humans at their own games, but ultimately learn how to do it in better and more efficient ways.
When pitted against another chess computer, Stockfish, AlphaZero won 155 of 1,000 matches, with six losses and the rest being draws. Unlike most chess-playing A.I.’s, however, AlphaZero does not prefer to save its pieces, instead opting to sacrifice them for the greater good.
This ability comes from what developers describe as a “neural network with millions of different tunable parameters, each learning its own rules of what is good in chess.” With all of these variables, the machine, much like a human, can look at a situation and know what the best thing to do is.
AlphaZero began with a blank slate mind, developing strategies and tactics based only on the basic rules of the games it plays. It developed its human-like ability to play games based on its experiences.
While many prominent thinkers such as Elon Musk have warned against A.I., citing the possibility such mechanical minds could ultimately lead to human extinction, DeepMind researchers believe studying the way this machine learns how to play games can lead to real issues, such as why proteins become misfolded in Parkinson’s and Alzheimer’s. That protein folding conundrum is ultimately the goal of A.I.’s such as AlphaZero built by DeepMind.
Artificial intelligence is already beginning to spiral out of our control, a new report from top researchers warns. Not so much in a Skynet kind of sense, but more in a ‘technology companies and governments are already using AI in ways that amp up surveillance and further marginalize vulnerable populations’ kind of way.
On Thursday, the AI Now Institute, which is affiliated with New York University and is home to top AI researchers with Google and Microsoft, released a report detailing, essentially, the state of AI in 2018, and the raft of disconcerting trends unfolding in the field. What we broadly define as AI—machine learning, automated systems, etc.—is currently being developed faster than our regulatory system is prepared to handle, the report says. And it threatens to consolidate power in the tech companies and oppressive governments that deploy AI while rendering just about everyone else more vulnerable to its biases, capacities for surveillance, and myriad dysfunctions.
The report contains 10 recommendations for policymakers, all of which seem sound, as well as a diagnosis of the most potentially destructive trends. “Governments need to regulate AI,” the first recommendation exhorts, “by expanding the powers of sector-specific agencies to oversee, audit, and monitor these technologies by domain.” One massive Department of AI or such that attempts to regulate the field writ large won’t cut it, researchers warn—the report suggests regulators follow examples like the one set by the Federal Aviation Administration and tackle AI as it manifests field by field.
But it also conveys a succinct assessment of the key problem areas in AI as they stand in 2018. As detailed by AI Now, they are:
The accountability gap between those who build the AI systems (and profit off of them) and those who stand to be impacted by the systems (you and me) is growing.Don’t like the idea of being subjected to artificially intelligent systems that harvest your personal data or determine various outcomes for you? Too bad! The report finds that the recourse most public citizens have to address the very artificially intelligent systems that may impact them is shrinking, not growing.
AI is being used to amplify surveillance, often in horrifying ways. If you think the surveillance capacities of facial recognition technology are disturbing, wait till you see its even less scrupulous cousin, affect recognition. The Intercept’s Sam Biddle has a good write-up of the report’s treatment of affect recognition, which is basically modernized phrenology, practiced in real time.
The government is embracing autonomous decision software in the name of cost-savings, but these systems are often a disaster for the disadvantaged.From systems that purport to streamline benefits application processes online to those that claim to be able to determine who’s eligible for housing, so-called ADS systems are capable of uploading bias and erroneously rejecting applicants on baseless grounds. As Virginia Eubanks details in her book Automating Inequality, the people these systems fail are those who are least able to muster the time and resources necessary to address them.
AI testing “in the wild” is rampant already. “Silicon Valley is known for its ‘move fast and break things’ mentality,” the report notes, and that is leading to companies testing AI systems in the public sector—or releasing them into the consumer space outright—without substantial oversight. The recent track record of Facebook—the original move fast, break thingser and AI evangelist—alone is example enough of why this strategy can prove disastrous.
Technological fixes to biased or problematic AI systems are proving inadequate.Google made waves when it announced it was tackling the ethics of machine learning, but efforts like these are already proving too narrow and technically oriented. Engineers tend to think they can fix engineering problems with, well, more engineering. But what is really required, the report argues, is a much deeper understanding of the history and social contexts of the datasets AI systems are trained on.
The full report is well worth reading, both for a tour of the myriad ways AI entered the public sphere—and collided with the public interest—in 2018, and for a detailed recipe for how our institutions might stay on top of this ever-complicating situation.
This story is part of Automaton, an ongoing investigation into the impacts of AI and automation on the human landscape. For tips, feedback, or other ideas about living with the robots, I can be reached at bmerchant@gizmodo.com.
An MIT Media Lab team build a plant-cyborg. Its name is Elowan, and it can move around.
Image credits Harpreet Sareen, Elbert Tiao // MIT Media Labs.
For most people, the word ‘cyborg’ doesn’t bring images of plants to mind — but it does at MIT’s Media Lab. Researchers in Harpreet Sareen’s lab at MIT have combined a plant with electronics to allow it to move. The cyborg — Elowan — relies on the plant’s sensory abilities to detect light and an electric motor to follow it.
Our photosynthesizing overlords
Plants are actually really good at detecting light. Sunflowers are a great example: you can actually see them move to follow the sun on its heavenly trek. Prior research has shown that plants accomplish this through the use of several natural sensors and response systems — among others, they keep track of humidity, temperature levels, and the amount of water in the soil.
However, plant’s aren’t very good at moving to a different place even if their ‘sensor and response systems’ tell them conditions aren’t very great. The MIT team wanted to fix that. They planned to give one plant more autonomy by fitting its pot with wheels, an electric motor, and assorted electrical sensors.
The way the cyborg works is relatively simple. The sensors pick up on the electrical signals generated by the plant and generate commands for the motor and wheels based on them. The result is, in effect, a plant that can move closer to light sources. The researchers proved this by placing the cyborg between two table lamps and then turning them on or off. The plant moved itself, with no prodding, toward the light that was turned on.
While undeniably funny, the research is practical, too. Elowan could be modified in such a way as to allow it to move solar panels on a house’s roof to maximize their light exposure. Alternatively, additional sensors and controlling units would allow a similar cyborg to maintain optimal temperature and humidity levels in, say, an office. With this in mind, the team plans to continue their research, including more species of plants to draw on their unique evolutionary adaptations.
While we all tacitly agree not to think about the many secret Island of Doctor Moreau-style genetic research labs hidden throughout the world creatinghorrible genetic hybridsand superhumans as we speak, last week’svery public announcementof the successful births of two twins whose genes were altered using CRISPR/Cas-9 shocked the world due to its brazenness. According to a video posted to YouTube, a Chinese researcher named He Jiankui claims to have modified the genomes of twin baby girls in order to make them completely resistant to HIV.
What could go wrong?
Within hours, the scientific community and journalists around the world began to criticize the experiment as reckless and dangerous, even going so far as to call He the “Chinese Frankenstein.” Harvard and MIT’s David Liu, one of the inventors of CRISPR techniques, called the experiment “an appalling example of what not to do about a promising technology that has great potential to benefit society,” adding he hopes “it never happens again.” Who knew tampering with the genetic makeup of living human beings would be so controversial? Aside from, you know, everyone. Aside from the criticism, the story of He Jiankui and the genetically modified twins has taken a turn for the strange this week when the researcher seems to have gone mysteriously missing. Where could He be?
Probably making Christmas lights in a Chinese prison.
There are conflicting reports about He’s whereabouts and Chinese news outlets are predictably tight-lipped about the matter. When asked about the geneticist, a spokeswoman for the Southern University of Science and Technology where He was an employee gave a rather enigmatic statement:
Right now nobody’s information is accurate, only the official channels are. We cannot answer any questions regarding the matter right now, but if we have any information, we will update it through our official channels.
Of course, their official channels have not been updated. In the meantime, He’s laboratory has been shut down by Chinese authorities who stated that “clinical procedures of gene-editing on human embryos for reproduction purposes are explicitly banned in China.” Is He merely in hiding to avoid all of the negative press and criticism from the entire scientific community, or has he been disappeared in classically Chinese fashion for causing the Middle Kingdom to lose face? Until – or if – this “Chinese Frankenstein” resurfaces, this one will remain a mystery.
Ah, who are we kidding? He’s organs have already been harvested in the back of a mobile execution van. Such is the price of scientific “progress.”
While businesses in the U.S. struggle to decide the future of autonomous cars and how (or if) the public will receive and use them (attacking driverless vehicles is not a good sign; autonomous cars in fatal accidents is even worse), China announced it is building an entire autonomous, robots-only city … under the ocean … as a port and laboratory for unmanned submarines … and it’s named after Hades, the mythological king of the underworld. Are you worried yet?
“It is as challenging as building a colony on another planet for robotic residents with artificial intelligence. The technology can change the world.”
Or take it over? South China Morning Post quotes an unnamed scientist who has a rosy view of the Hadal zone project – a robotic Atlantis in the deepest trench of the South China Sea. It’s pictured as an underwater space station with multiple platforms and docks for subsea drones. It’s projected to cost Chinese taxpayers just 1.1 billion yuan (US$160 million), with much of the funding going to developing materials that can withstand the pressure at that depth … not to mention the volcanoes.
If you’re going to build the world’s first and deepest autonomous Atlantis, you might as well pick the worst place and most dangerous place imaginable – the Manila Trench in the South China Sea where, at a depth of 5,400 meters, the southeastern part of Eurasian plate meets the Pacific plate and create sizeable underwater volcanoes and earthquakes that could affect large parts of the surface with quakes and tsunamis. Throw in the fact that the South China Sea is a politically volatile area causing disturbances between the governments and militaries of China and the Philippines, and you have to wonder what other reasons may have prompted China to pick this area … and why it will be unmanned.
“China and the Philippines should sit down and discuss it. A tsunami [warning] is a big selling point. Data collected by the station would benefit all countries in the region. It could save many lives.”
Professor Yan Pin, a researcher at the Key Laboratory of Ocean and Marginal Sea Geology at the Chinese Academy of Sciences in Guangzhou, pushes the ideas that this will primarily be an earthquake and tsunami warning station and the data it collects will be shared with the Philippines and other countries. China’s President Xi Jinping, in a speech designed to inspire the engineers working on the project, called it a “march into the ocean to accelerate the build-up of maritime power.” Dr Du Qinghai, an associate researcher at the Hadal Science and Technology Research Centre at Shanghai Ocean University who is not involved with the project, is blunter.
“No other country has done this before. The project will make China stronger, more advanced. It will boost the material sciences, stimulate innovation and make Chinese manufacturing more competitive. It will make China a world leader in some critical areas.”
China is building an autonomous Atlantis. Its drive for technical superiority and willingness to spend money on may feel threatening but it is also impressive. Meanwhile, the U.S. is trying to get excited about automatic parallel parking and Americans are going to movies about Aquaman.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (1 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
29-11-2018
‘Crispr-tweeling’ roept heftige reacties op
‘Crispr-tweeling’ roept heftige reacties op
Het nieuws uit China over de geboorte van een ‘genetisch verbeterde’ meisjestweeling, slaat in als een bom. Terwijl de straffe claim van geneticus He Jiankui – die inmiddels op slag beroemd is – nog moet worden gecontroleerd, reageren wetenschappers met afkeuring.
Eerst de feiten.
Gisteren vertelde de Chinese geneticus He Jiankui tijdens een persbabbel dat er enkele weken geleden ‘ergens in China’ een meisjestweeling is geboren met een doelbewust aangebrachte genmutatie. De genetische ingreep zou de meisjes minder vatbaar maken voor hiv, het virus dat aids veroorzaakt. Jiankui was tot begin dit jaar verbonden aan de Southern University of Science and Technology in Shenzhen, maar opmerkelijk genoeg is hij sindsdien op ‘onbetaald verlof’, zo meldt de universiteit. Jiankui deed zijn aankondiging in Hong Kong. Uitgerekend vandaag begint daar een belangrijke internationale conferentie rond genoombewerking bij mensen.
De universiteit in Shenzhen distantieerde zich al, omdat Jiankui de genbewerking niet in hun labs heeft uitgevoerd
De tweeling werd geboren uit een ouderpaar dat bij Jiankui een ivf-behandeling onderging. De wetenschapper zou met de genetische knip-en-plaktechniek crispr, die sinds enkele jaren volop in de schijnwerpers staat, een welbepaald gen hebben uitgeschakeld dat een rol speelt in de hechting van het hiv-virus aan onze witte bloedcellen. Dat gen, ccr5 genaamd, is al langer bekend bij virologen die onderzoek doen naar (gedeeltelijke of volledige) aidsimmuniteit. Zo zijn er mensen met een gemuteerd ccr5 gen op wie het aidsvirus geen vat lijkt te hebben. De vaststelling dat deze mutatie voornamelijk voorkomt bij Europeanen (of mensen met een Europese afkomst), voedt de hypothese dat de genvariant vroeger ook bescherming bood tegen middeleeuwse ziekten zoals de builenpest.
Jiankui sleutelde (naar eigen zeggen) al tijdens de vroegste embryonale fase aan de genen van de twee meisjes, vlak na de bevruchting van de eicellen. Na de ingreep met de crispr-technologie plantte hij de eicellen weer in bij de moeder, maar niet voordat hij had gecontroleerd dat de ingreep geen andere wijzigingen had veroorzaakt, buiten de gewenste ccr5-mutatie.
He Jankui vertelde dat hij het experiment uitvoerde om de tweelingzussen levenslang te beschermen tegen HIV-infectie.
René Custers, responsible research manager bij het Vlaams Instituut voor Biotechnologie, houdt desgevraagd nog een slag om de arm, vooraleer hij het nieuws van gisteren als historisch wil bestempelen. ‘We wachten nog op wetenschappelijke bevestiging. Bovendien heeft de universiteit in Shenzhen zich al gedistantieerd van het verhaal, ook al omdat Jiankui de ivf-behandeling en de genbewerking niet in de labs en gebouwen van de universiteit heeft uitgevoerd.’
Maar als het verhaal klopt, dat is het ongetwijfeld dé wetenschappelijke gebeurtenis van het jaar. Niet omdat het om een grote technologische doorbraak gaat, maar omdat er ethische en morele grenzen zijn overschreden. ‘De oppuntstelling van de crispr-techniek enkele jaren geleden, dát was een grote doorbraak’, zegt Custers. ‘Vandaag wordt die techniek heel breed toegepast in het wetenschappelijk onderzoek.’
"Niet het technologische, maar het controversiële aspect maakt het nieuws van de crispr-tweeling breaking"
Het is dus het controversiële aspect dat het nieuws van de crispr-tweeling breaking maakt. Custers: ‘In het veld wordt er al jaren gesproken over de wetenschappelijke, ethische en beleidsmatige aspecten van menselijke genoombewerking. Bijvoorbeeld over wat er in fundamenteel onderzoek verantwoord is, en wat niet. En welke toepassingen er mogen worden ontwikkeld. Ook over de veiligheid van toepassing bij de mens wordt nog volop gediscussieerd.’
Een gezaghebbend Amerikaans rapport uit 2017, opgesteld door de National Academy of Science en de National Academy of Health, vermeldt een reeks strikte voorwaarden waaraan genetische experimenten die als doel hebben zware ziekten te voorkomen of te genezen, moeten voldoen, willen ze ethisch verantwoord zijn. Voor de casus van Jiankui is dat zeker niet het geval. Bovendien beschouwen de auteurs van het rapport experimenten met het doel de mens te ‘verbeteren’, duidelijk als een stap te ver.
Tot nu beperkte het (gepubliceerde) wetenschappelijke crispr-onderzoek op mensen zich tot klinische tests waarbij verschillende types menselijke lichaamscellen in het lab worden gewijzigd, en daarna teruggeplaatst. Daarbij worden de geslachtscellen niet gewijzigd, zodat de veranderingen niet kunnen doorgegeven worden aan het nageslacht (dat is bij de Chinese tweeling dus wel het geval). Daarnaast zijn er ook menselijke embryo’s ‘behandeld’ met crispr, maar steeds zonder de intentie om ze te laten uitgroeien tot mens. Dat laatste is dan ook in heel wat landen bij wet verboden.
CRISPR-Cas maakt het mogelijk met ongekende precisie DNA te wijzigen en genen uit te schakelen. De genbewerkingstechniek ontketent een ware revolutie in de biologie: niet alleen biomedici, maar ook neurowetenschappers en plantbiologen gaan ermee aan de slag.
Het DNA is een soort uitgebreide catalogus waarin alle instructies te vinden zijn die de eigenschappen van een organisme bepalen. Of het nu gaat om de kleur van ogen bij een mens, de vorm van de bladeren bij een plant of het soort antibioticum waartegen een bacterie resistent is, het zijn allemaal kenmerken die vast liggen in de code van het DNA.
Deze code bestaat uit een opeenvolging van 4 bouwstenen of basen, die aangeduid worden met de letters A, T, G en C. In het geval van Escherichiacoli, een darmbacterie bij mens en dier die vaak als modelorganisme in het labo bestudeerd wordt, omvat de genetische code meer dan 4,6 miljoen posities of baseparen, terwijl het menselijk genoom opgebouwd is uit ongeveer 6 miljard baseparen. Een fout op slechts één van deze posities, ook wel een mutatie genoemd, kan zorgen voor een ingrijpende verandering in het organisme.
Zo zijn verschillende menselijke ziektes een gevolg van mutaties, zoals taaislijmziekte of de ziekte van Huntington. Niet alleen om deze fouten te corrigeren, maar ook om de informatie die in het DNA opgeslagen zit beter te begrijpen, zijn wetenschappers op zoek naar manieren om de genetische code aan te passen. De technieken die tot voor kort beschikbaar waren, bleken vaak zeer tijdrovend en arbeidsintensief. Zo kon het wel enkele maanden tot een half jaar duren om slechts één verandering aan te brengen in het DNA. Tot in 2012 CRISPR op de wereld werd losgelaten...
Wat is dat nu, CRISPR?
Bacteriën kunnen aangevallen worden door virussen. Ze vallen de bacteriën namelijk aan om zich voort te planten. Hierbij injecteert het virus een stukje DNA in de bacterie dat dan alle informatie bevat die nodig is om nieuwe virussen op te bouwen. Om zich te beschermen zal de bacterie dit stuk DNA dus moeten vernietigen nog voor de nieuwe virusdeeltjes gevormd worden. Een tijdje geleden werd ontdekt dat bacteriën zich tegen deze virussen konden beschermen door middel van het CRISPR/Cas systeem. Het CRISPR/Cas systeem is dus eigenlijk niet meer dan het immuunsysteem van bacteriën, zoals ook mensen een immuunsysteem hebben om zich tegen ziekteverwekkers te beschermen.
Het CRISPR systeem zal eerst en vooral stukjes uit het vreemde virus-DNA halen en inplakken in het eigen DNA. Deze stukjes worden telkens in dezelfde regio in het DNA van de bacterie ingeplakt, ook wel de CRISPR regio genoemd. Deze regio bevat dus een verzameling van stukjes van alle vreemd DNA waar de bacterie al mee in contact is gekomen en kan aangewend worden om later infectie met diezelfde virussen snel te herkennen en onschadelijk te maken.
Het stukje DNA dat opgeslagen wordt doet vervolgens dienst als een soort gids voor het Cas9 eiwit, een moleculaire schaar. Cas9 is in staat om het DNA te knippen en wel op een zeer specifieke plaats die volledig bepaald wordt door het stukje dat eerder uit het vreemd DNA werd gehaald. Dus bij een aanval van een virus zal het Cas9 gegidst worden door het reeds opgeslagen stukje DNA van dat virus in zijn CRISPR regio en heel specifiek het geïnjecteerde DNA van dat virus kunnen knippen. De enorm hoge nauwkeurigheid van dit systeem en de mogelijkheid om heel specifiek op een bepaald stuk DNA te knippen bracht onderzoekers een paar jaar geleden op het idee om CRISPR/Cas te gebruiken voor genmodificatie in andere organismen.
Knippen in het DNA voor genmodificatie?
Inderdaad, dat klinkt op het eerste zicht een beetje vreemd. Het oorspronkelijke CRISPR/Cas systeem in bacteriën is namelijk bedoeld om DNA weg te knippen. Toch kunnen we dit gebruiken voor genmodificatie. Wanneer het DNA van een organisme geknipt wordt, zal het er alles aan doen om deze breuk te herstellen, zoniet zal het organisme sterven. Dit herstel kan gebeuren door het terug aan elkaar plakken van de twee losse eindjes. Daar treden echter heel wat fouten bij op wat niet gewenst is als je een specifieke verandering wil aanbrengen.
Gelukkig kan de cel de breuk in het DNA nog op een andere manier herstellen. Zo kan de cel een voorbeeldstukje DNA gebruiken om de plaats waar geknipt is terug te herstellen. Dit voorbeeldstukje DNA heeft identieke stukken met het oorspronkelijke DNA voor en achter de knipplaats. Daardoor kan het herkend worden en gebruikt worden voor herstel. We kunnen daar als onderzoeker nu zelf gebruik van maken door in dit stukje DNA onze gewenste veranderingen aan te brengen. Op die manier kunnen we één basepaar veranderen, extra stukjes invoegen, stukjes verwijderen of zelfs stukjes van richting veranderen. Zo opent CRISPR/Cas oneindig veel mogelijkheden voor het aanpassen van DNA.
De CRISPR-revolutie
Uitvinders Emmanuelle Charpentier, Jennifer Doudna en Feng Zhang kwamen op het idee om de CRISPR/Cas moleculaire schaar van de bacteriën te gebruiken om DNA te knippen in andere organismen zoals planten, dieren en mensen. In 2012 kwamen de eerste berichten binnen dat CRISPR/Cas gebruikt kon worden voor het aanpassen van genetisch materiaal in menselijke cellen. Dit was het beginpunt voor de CRISPR-revolutie in de biologie.
Onderzoek naar het CRISPR systeem explodeerde in de daaropvolgende jaren en het gebruik van de techniek werd aangetoond in steeds meer verschillende organismen. Vele bedrijven werden opgericht om de techniek te commercialiseren. CRISPR/Cas wordt ook wel de 'Wetenschappelijke ontdekking van de eeuw' genoemd. De impact van CRISPR is zo enorm groot dat zijn uitvinders de afgelopen twee jaar kans maakten op de Nobelprijs, ware het niet dat er ondertussen ook een verwoede patentoorlog tussen hen aan de gang is die moet beslissen aan wie de CRISPR-rechten toebehoren.
Waarvoor kan CRISPR gebruikt worden?
Vele menselijke ziektes worden veroorzaakt door mutaties. Met CRISPR zouden deze fouten in het DNA gecorrigeerd kunnen worden. Ook voor verschillende soorten kanker zou CRISPR een oplossing kunnen bieden. Uiteraard staan nog heel wat ethische kwesties het effectief toepassen van CRISPR voor genetische manipulatie van mensen in de weg. Gezien de enorme kracht van CRISPR is het van groot belang dat de techniek enkel kan ingezet worden voor ethisch verantwoorde doeleinden.
CRISPR werd wel reeds ingezet voor het aanmaken van gewassen die meer bestand zijn tegen droogte of ziekteverwekkers. Ook algen werden reeds gemanipuleerd voor het optimaliseren van de productie van bio-brandstoffen. Door de brede toepasbaarheid zullen doorbraken in verschillende andere domeinen volgen in de nabije toekomst.
Lees ook:
Toon Swings en Jan Michiels ontwikkelden een vereenvoudigde CRISPR-methode. Lees er HIER meer over.
Bedenkster Emmanuelle Charpentier vertelt waarom de technologie zo snel door de wetenschappelijke wereld werd omarmd.
Here it is: the moment historians will look back upon as the dawn of Homo sapiens superior and the moment when us natural-borns get knocked down a peg on the social hierarchy. For decades, science fiction writers have foretold a future in which genetically-superior humans made possible by gene modification techniques will rise above us lowly normies with their enhanced intelligence and physiology, greater resistance to diseases, and stunning good looks of course. The prospect of editing the human genome has remained taboo, though, for longstanding ethical and moral reasons. Naturally, human-rights-optional China has ignored these and blazed ahead and given the world its first two genetically-modified superbabies whether we want them or not. It begins.
Evolution is just too slow.
This isn’t the first time Chinese scientists have tested CRISPR on humans. As early as 2015, Chinese researchers were already altering the genomes of human embryos in laboratories – embryos which were never gestated. Now, geneticists Southern University of Science and Technology, in Shenzhen have taken these techniques one step further by modifying the genomes of two embryos which were implanted into a human womb via in vitro fertilization. Those embryos are now two happy and healthy baby girls, Lulu and Nana. Scientists led by He Jiankui altered the girls’ genomes so that they will be immune to HIV – in theory. In statements made this week, He assures that the only changes made to the girls’ genomes were to the “doorway” which would allow HIV to potentially infect the girls. Who knows what unforeseen consequences might arise from the editing process, though?
The research has not yet been submitted for peer review and publication, so many scientists remain skeptical of the Chinese team’s claims. Jennifer Doudna, a biochemist at the University of California, Berkeley who helped develop CRISPR-Cas9 gene editing, warns that this trial is a “break from the cautious and transparent approach of the global scientific community’s application of CRISPR-Cas9 for human germline editing” adding that she and other scientists around the world are still “struggling to figure out what was done and also whether the process was done properly. We just don’t know yet.”
What will the future bring us now that we have the potential to alter the human genome as we see fit?
Many nations experimented with eugenics and other controlled breeding programs throughout the 20th century, but the advances made by CRISPR and other recent technologies let scientists remove all uncertainty from the equation (in theory) and edit the human genome on a gene-by-gene basis, opening the doors for all sorts of modifications with unknown long-term consequences.
While removing the chance for these girls to contract HIV can’t possibly be seen as a bad thing, this trial is the first to go over the apex and start sliding down the slipperiest of slopes. What’s next? Removing all cancer genes? Sure. Eradicating mental illnesses through removing their gene markers? Go right ahead. Creating an army of genetic Übermensch (more like 超人) capable of crushing genetically inferior opposing forces?
A group of Chinese researchers recruited couples in order to create the first gene-edited babies — a pair of twin girls born earlier this month. The controversial initiative aims to make babies resistant to certain diseases and pathogens, such as HIV infections.
The news was first reported by MIT Technology Review, which obtained official medical documents (1 and 2) filed by researchers at the Southern University of Science and Technology, in Shenzhen.
According to the documents, the Chinese researchers want to use the gene-editing tool CRISPR to modify human embryos and then transfer them into women’s uteruses. They plan to edit the CCR5 gene in such a way as to potentially make the offspring resistant to HIV, smallpox, and cholera. Using the
The team led by He Jiankui previously carried out tests on fetuses as late as 24 weeks, or six months, into the pregnancy. Their first tests on human embryos in a dish were carried in 2015, causing an ethical debate among the scientific community.
Although gene editing on humans is prohibited in most countries (China has banned cloning but not human embryo gene editing specifically), He and colleagues seem nevertheless bent on experimenting with gene editing and human cells. The major concern is that any edits will be passed on to offspring, thus making their way into the gene pool. As such, potentially troublesome mutations could become relatively widespread. On the other hand, even if the gene editing process is flawless, any beneficial gene edits — such as enhanced resistance to disease and even intelligence — could result in unfair advantages and may open the door for eugenic practices.
Jiankui He.
Credit: SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY.
It’s all uncharted territory, and the long-term consequences of gene editing on humans can be unpredictable, which is why the scientific community advises caution. In stark contrast to this cautionary approach, He claimed that his team has “a strong responsibility that it’s not just to make a first, but also make it an example.”
He says that the aim of the trial is not to cure or prevent an inherited disease, but rather to bestow traits that few people naturally have. Specifically, the ability to resist an infection with HIV, which some individuals from Western European populations have due to a rare CCR5 genetic mutation. This gene forms a protein doorway that allows HIV, the virus that causes AIDS, to enter a cell; the mutation alters this doorway, physically blocking the virus from entering the cell.
According to the Associated Press, the Chinese researchers have altered embryos for seven couples during fertility treatments, with one pregnancy being carried to term thus far. All the men involved in the trial had HIV, while the women did not. This claim, however, is unverified, and the work has yet to be published in any journal.
SAUL LOEB/AFP/Getty Images
The gene editing occurred during the lab dish fertilization (IVF) stage. The researchers first separated sperm from semen, the fluid which may contain HIV. A single sperm cell was joined with a single egg to form an embryo, which was subjected to gene editing via CRISPR. Once the embryos were 3 to 5 days old, some cells were removed and checked for editing. Overall, the Chinese researchers edited 16 of 22 embryos, out of which 11 embryos were used in six implant attempts, resulting in a single twin pregnancy. The couples could choose whether to use edited or unedited embryos for their pregnancy attempts.
Tests suggest that one twin had both copies of the altered gene and the other twin had just one altered copy. There was no evidence that suggests harm to other genes, according to He. People with only one copy of the CCR5 gene can still get HIV. Further pregnancies are on hold until the twin pregnancy is deemed safe.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
25-11-2018
Killer Robots? They Are Reality. Should We Be Concerned?
Killer Robots? They Are Reality. Should We Be Concerned?
As I write this my robot vacuum cleaner hums away downstairs quietly doing its thing, sometimes rumbling over the air vent in such a way that I can hear it upstairs in my office. It has a name – Sharknado.
The robot vacuum is great. I was initially skeptical. How could it do a decent job ? It’s a rolling disk with brushes. How could it do anything close to the job of a conventional vacuum? But after 2 sessions with the thing I was convinced. As I marveled at the nice fresh family room courtesy of our new gadget I became a believer.
It was yesterday that I heard my wife yell to the kids that they needed to pick their headphones up off the floor “so the robot could clean” their rooms. The sentence gave me pause.
It won’t be long before yards are cut, kids are driven to school, dogs are walked, beds are made, and meals are cooked by robots on a large scale. The trajectory seems clear. The robots are coming.
We are just in the opening scenes of this new world and we would be wise to have a serious debate about the role of robots in our society,now. The ethical questions we are and will be presented with in a robotized world are and will be profound. They will challenge our understanding of what it means to be human. We will have to consider seriously the prospect of robots as potentially sentient beings. (Beyond sci-fi movies.) What does it mean generally if a robot can “think”? What if a robot can “feel”? What does that mean for us in a real (forgive me) nuts and bolts sense?
In a more narrow sense we need to be aware of the fact that robots represent a leap in warfare, and that the leap is happening right now. If robot slaves can go to war and do the bidding of governments (and other entities with resources), governments are going to use them. Imagine a Golden Horde of automated soldiers sweeping into a city to raise it. Consider how one would counter such an assault. (Likely with other robots.) Consider what it means to have these machines wandering the landscape. Machines that with time may prove more robust than relatively fragile humans. We’d better make sure we do some real hard thinking before we end up with a Terminator-like situation. No joke and God forbid.
(From The Daily Beast)
The introduction of automatons into factory jobs has lead to the displacement of hundreds of workers, and has forced surviving workers to work harder, longer, and more intricate jobs. Christoph Walter, a robotics engineer in Freiburg, Germany, doesn’t see automated labor as an issue, though. When interviewed in the documentary, he explains, “We don’t want to replace a worker [with a robot]. We want to support workers.”
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
17-11-2018
Exploring Sophia’s multiple intelligences
Exploring Sophia’s multiple intelligences
Sophia The Robot, Hanson Robotics Limited's David Hanson, and SingularityNET's Ben Goertzel at RISE 2018.
Have you ever heard that a robot has many different intelligences? This session with Ben Goertzel and David Hanson will show that they can be as broadly intelligent as humans.
An Interview With AI Robot Sophia
Piers Morgan FLIRTS with a robot called Sophia
The Dangers of Artificial Intelligence - Robot Sophia makes fun of Elon Musk - A.I. 2018
My Greatest Weakness is Curiosity | Sophia the Robot at Brain Bar
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
Be Aware! Xinhua's first English Artificial Intelligence Anchor makes debut!
Be Aware! Xinhua's first English Artificial Intelligence Anchor makes debut!
The idea of super intelligent machines may sound like the plot of "The Terminator" or "The Matrix," but many experts say the idea isn't far-fetched. Some even think the singularity — the point at which artificial intelligence can match, and then overtake, human smarts — might happen in just 16 years.
The question is, could we evolve ourselves out of existence, being gradually replaced by the machines?
Many experts believe that our future society will be built on effective human-machine collaboration. But a lack of trust remains the single most important factor stopping this from happening.
AI’s decision-making process is usually too difficult for most people to understand. And interacting with something we don’t understand can cause anxiety and make us feel like we’re losing control.
Many people are also simply not familiar with many instances of AI actually working, because it often happens in the background. Instead, they are acutely aware of instances where AI goes terribly wrong.
Intelligent Robots Will Overtake Humans and a striking example is Xinhua's first English AI anchor who made its debut at the World Internet Conference in Wuzhen 2018.
China’s state-run Xinhua News Agency unveiled a deeply creepy artificial intelligence news anchor at the government’s World Internet Conference tech expo.
The AI newscaster is a pure virtual mouthpiece in a country with tight controls on press freedom, and its first report this week featuring fawning coverage of China’s trade show felt distinctly dystopian.
“I will work tirelessly to keep you informed as texts will be typed into my system uninterrupted,” the AI anchor said in its debut video at the conference.
The virtual anchor’s features are based on those of a real-life Xinhua host named Zhang Zhao.
But as with most attempts at computer-generated humanity, the virtual anchor is both impressively realistic and yet unsettlingly soulless.
Its limited range of motion and expressions becomes repetitive after a short time, while its gray crisp suit and perfectly coiffed hair are even more rigid than human cable news hosts.
According to huffingtonpost, newsrooms have increasingly implemented AI technology in recent years, with outlets including The Washington Post using AI to write short reports on such topics as the outcome of sporting events or to send news alerts.
Newscasters, cable news show anchors and news readers are finding their jobs in precarious positions for a number of reasons, but those in Western countries have no threat to their employment quite s big as the one facing their counterparts in China, where media providers are testing virtual newsreaders created by combining images and voices of humans with artificial intelligence (AI) technology. Mr. President! Mr. President! Robbie Gort here from AI 2001 News. What’s your stance on robot rights?
“AI anchors have officially become members of the Xinhua News Agency reporting team. They will work with other anchors to bring you authoritative, timely and accurate news information in both Chinese and English.”
Xinhua News Agency is the official state-run news provider of the People’s Republic of China. It’s the largest media organization in China and the largest news agency in the world in number of correspondents (10,000) worldwide. That last figure, according to South China Morning Post, is why the organization is turning to AI.
“Celebrity anchors are regarded as important assets at major news networks in the US. The highest paid news anchor, CNN’s Anderson Cooper, is reportedly paid US$100 million a year, while Diane Sawyer at ABC and Sean Hannity at Fox News earn US$80 million each. Celebrity anchors in China are generally paid a lot less because they work for state-run TV stations but they often earn extra money from product endorsements and book sales.”
Let’s take a look at the weather map
Not only do Xinhua’s lifelike AI anchors work cheap, they never need bathroom breaks, lunch hours, sleep, vacations, huge paychecks or ego-stroking. As long as human editors keep feeding them news items (and those people could be eliminated soon as many news agencies are testing automated news aggregators and story writers), the AI anchors will keep staring into the camera and talking — 24 hours a day, seven days a week … or at least until viewers get tired of staring at the same face, which may not be a problem (or at least one that anyone will feel safe complaining about) since Xinhua is the state news agency. (See a video of the first AI anchor here.)
The AI news anchors were announced at the recent World Internet Conference in Wuzhen and developed by Sogou, China’s second-largest search engine operator. It has proprietary technology in natural language processing – a branch of AI dealing with how computers understand and interpret human language – so it is undoubtedly working on improvements to give the AI newsreaders more realistic-looking speech, lip movements and facial expressions.
Who is in control?
What about questioning authorities or telling the truth? There has been ongoing controversy in the U.S. over local TV news staffs being forced to read copy written by the station’s owners and management without question and without changing any words. Artificial intelligence hasn’t reached the point yet where an AI anchor can get disgusted and walk off the set while yelling, “I’m mad as Hell and I’m not going to take this anymore!”
Can it? Should it? Will other media providers see this as something to fight or a means to greater profits?
What do you think … while you can still think for yourself? Anderson?
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
08-11-2018
Male Pleasure Robots Will Replace Men For Good
Male Pleasure Robots Will Replace Men For Good
Men might be soon replaced by male love robots offering an ultimate experience in pleasure.
Men may be soon be made redundant in the bedroom as they might be replaced by male love robots who offer the ultimate experience in pleasure. Pleasure dolls have come on in leaps and bounds during the last couple of years; they are no longer the plastic looking blow-up dolls they once were. Real Doll is one company that has changed how people think about pleasure dolls, and now a company is creating a male love doll.
Male Love Doll Can Respond Verbally
Real Doll said that the male love doll is just as real as a living partner, with the doll being able to respond to verbal communication. This may mean that along with the doll being able to provide pleasure in the bedroom it will also be able to have a conversation afterward instead of turning over to fall asleep.
Tthe male love doll from Real Doll offers the ultimate pleasure experience. The doll, with the name of “Gabriel”, can “go all night” if needed, as it does not tire nor suffer from performance issues as the majority of men do. This means it might take over from real men in the bedroom.
The male dolls will be programmed with unique conversations, and each will have their own stories. Women do not have to worry about going unfulfilled in the bedroom as the robot goes on and on. Women will also not have to worry about making any effort to get pleasure in the bedroom as the doll satisfies every whim.
Women Say They Cannot Tell Lifelike Male Dolls Apart from Real Men
Real looking pleasure robots are becoming the in-thing, today they look more lifelike than ever before. Love dolls today not only look real but also feel a lot more real than the older blow-up dolls made from plastic. Today love dolls are traditionally made from silicone, which gives a skin-like feel.
Video Reveals How Male Pleasure Robots Are Intricately Made
A teaser video has been released showing the male robot. However, it might be a bit strange at first waking up at the side of a robot, as seen in the video.
The robots are made from silicone and look extremely lifelike after being spray painted as Sinthetics. Each of the dolls is customized to meet the requirements of the customer, including the head, body, and gender. The dolls are hand painted with a variety of paint colors, including such as freckles, birthmarks along with scars.
The private parts for the male robots are all based on real-life ones and come in various sizes. Gone are the times when the person who bought a love doll was known as the creepy man. Today the love doll industry is huge, selling to both men and women from all walks of life.
Inspired by the natural world, researchers have designed a microdrone that can pull objects up to 40 times its weight. By anchoring itself to various surfaces using adhesive action inspired by geckos and wasps, the tiny aerial vehicle is able to lift cameras, water bottles, and even pull door handles, while the drone itself is as light as a bar of soap.
FlyCroTugs’ multimodal operation allows them to combine small size, high mobility in cluttered and unstructured environments, and forceful manipulation.
Credit: Science Robotics.
The FlyCroTugs drone was developed by Stanford’s Mark Cutkosky and Dario Floreano at the École Polytechnique Fédérale de Lausanne in Switzerland. Other similar drones demonstrated previously could only lift twice their own weight using aerodynamic forces alone. To drastically improve their tiny aerial vehicle’s towing power, the researchers turned to one of the most feared predators in the insect world: the wasp.
When a wasp captures prey too big to transport by flight, it chooses to drag it using different attachment options. Researchers studied the various ways wasps choose to transport prey and computed the ratio of flight-related muscle to total mass that determines whether the predator flies or drags its prey.
“When you’re a small robot, the world is full of large obstacles,” said Matthew Estrada, a graduate student at Stanford and lead author of the new study published inScience Robotics. “Combining the aerodynamic forces of our aerial vehicle along with interaction forces that we generate with the attachment mechanisms resulted in something that was very mobile, very forceful and micro as well.”
When encountering a smooth surface, FlyCroTugs uses gecko-like grippers that create non-sticking intermolecular forces between the adhesive and surface. For rough surfaces, the tiny flying robot sticks its 32 microspines into the small pits of a surface, latching onto it.
Fitting all this hardware inside a robot with only twice the weight of a golf ball was no easy feat, but the team was up to the challenge. What they wound up with was a fast, small, and maneuverable flying robot capable of moving very large loads up to 40 times its own weight.
“People tend to think of drones as machines that fly and observe the world, but flying insects do many other things – such as walking, climbing, grasping, building – and social insects can even cooperate to multiply forces,” said Floreano in a statement. “With this work, we show that small drones capable of anchoring to the environment and collaborating with fellow drones can perform tasks typically assigned to humanoid robots or much larger machines.”
FlyCroTugs represents a paradigm shift away from drones occupying a single niche. Not only does it show that drones are excellent for navigating remote locations, but they can also be used to interact with the physical world. In tests, FlyCroTugs flew atop a crumbling structure from where it hauled up a camera and even opened a door with the help of another drone (see the video).
In the future, the team hopes to develop an autonomous system that enables them to maneuver and coordinate multiple FlyCroTugs at once.
“The tools to create vehicles like this are becoming more accessible,” said Estrada. “I’m excited at the prospect of increasingly incorporating these attachment mechanisms into the designer’s tool belt, enabling robots to take advantage of interaction forces with their environment and put these to useful ends.”
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
20-10-2018
THE ROBOT COMPANY BOSTON DYNAMICS HAS LEARNED TO DANCE TO UPTOWN FUNK BY BRUNO MARS
THE ROBOT COMPANY BOSTON DYNAMICS HAS LEARNED TO DANCE TO UPTOWN FUNK
BYBRUNO MARS
The American company that has developed a robotics Boston Dynamics is known for its developments.
Especially impressed users of the Network video in which the robot dog Boston Dynamics opens the door, even resisting someone who is trying to hold him.
A well-mannered four-legged machine SpotMini has already proved that she can easily open the door and enter it, even though man armed with a hockey stick, stopping her.
Now the robot dog Boston Dynamics has learned to dance to the song Uptown Funk by American musician Mark Ronson, recorded with the singer Bruno Mars.
One user commented that to dance like robots to be after the victory over humanity.
The other resents the fact that huge funds were invested in robotic ATV to get him to dance funk and shake your ass on the screen.
Anotherviewer writes that the dance community in 2594 year. The other confirms that it’s tin man dances better cuts of meat.
Another user claims that the company Boston Dynamics was bought by the Japanese, and that the robot repeats the wonderful mechanics of living beings, but he has no “brain” and all it shows is the result of the operator’s work behind the scenes. As an example, he cites the Japanese robot ASIMO.
And “brains”, the AI is much more important than chassis with high-quality gyroscope and a powerful processor, repeating all commands. But users doubt that the robot has the AI of a sufficient scale to dance on their own.
WHEN SOPHIA THE ROBOT first switched on, the world couldn’t get enough. It had a cheery personality, it joked with late-night hosts, it had facial expressions that echoed our own. Here it was, finally — a robot plucked straight out of science fiction, the closest thing to true artificial intelligence that we had ever seen.
There’s no doubt that Sophia is an impressive piece of engineering. Parents-slash-collaborating-tech-companies Hanson Robotics and SingularityNET equipped Sophia with sophisticated neural networks that give Sophia the ability to learn from people and to detect and mirror emotional responses, which makes it seem like the robot has a personality. It didn’t take much to convince people of Sophia’s apparent humanity — many of Futurism’s own articlesrefer to the robot as “her.” Piers Morgan even decided to try his luck for a date and/or sexually harass the robot, depending on how you want to look at it.
“Oh yeah, she is basically alive,” Hanson Robotics CEO David Hanson said of Sophia during a 2017 appearance on Jimmy Fallon’s Tonight Show. And while Hanson Robotics never officially claimed that Sophia contained artificial general intelligence — the comprehensive, life-like AI that we see in science fiction — the adoring and uncritical press that followed all those public appearances only helped the company grow.
But as Sophia became more popular and people took a closer look, cracks emerged. It became harder to believe that Sophia was the all-encompassing artificial intelligence that we all wanted it to be. Over time, articles that might have once oohed and ahhed about Sophia’s conversational skills became more focused on the fact that they were partially scripted in advance.
Ben Goertzel, CEO of SingularityNET and Chief Scientist of Hanson Robotics, isn’t under any illusions about what Sophia is capable of. “Sophia and the other Hanson robots are not really ‘pure’ as computer science research systems, because they combine so many different pieces and aspects in complex ways. They are not pure learning systems, but they do involve learning on various levels (learning in their neural net visual systems, learning in their OpenCog dialogue systems, etc.),” he told Futurism.
But he’s interested to find that Sophia inspires a lot of different reactions from the public. “Public perception of Sophia in her various aspects — her intelligence, her appearance, her lovability — seems to be all over the map, and I find this quite fascinating,” Goertzel said.
Hanson finds it unfortunate when people think Sophia is capable of more or less than she really is, but also said that he doesn’t mind the benefits of the added hype. Hype which, again, has been bolstered by the two companies’ repeated publicity stunts.
“Sophia and the other Hanson robots are not really ‘pure’ as computer science research systems…”
Highly-publicized projects like Sophia convince us that true AI — human-like and perhaps even conscious — is right around the corner. But in reality, we’re not even close.
The true state of AI research has fallen far behind the technological fairy tales we’ve been led to believe. And if we don’t treat AI with a healthier dose of realism and skepticism, the field may be stuck in this rut forever.
NAILING DOWN A TRUE definition of artificial intelligence is tricky. The field of AI, constantly reshaped by new developments and changing goalposts, is sometimes best described by explaining what it is not.
“People think AI is a smart robot that can do things a very smart person would — a robot that knows everything and can answer any question,” Emad Mousavi, a data scientist who founded a platform called QuiGig that connects freelancers, told Futurism. But this is not what experts really mean when they talk about AI. “In general, AI refers to computer programs that can complete various analyses and use some predefined criteria to make decisions.”
Among the ever-distant goalposts for human-level artificial intelligence (HLAI) are the ability to communicate effectively — chatbots and machine learning-based language processors struggle to infer meaning or to understand nuance — and the ability to continue learning over time. Currently, the AI systems with which we interact, including those being developed for self-driving cars, do all their learning before they are deployed and then stop forever.
“They are problems that are easy to describe but are unsolvable for the current state of machine learning techniques,” Tomas Mikolov, a research scientist at Facebook AI, told Futurism.
Right now, AI doesn’t have free will and certainly isn’t conscious — two assumptions people tend to make when faced with advanced or over-hyped technologies, Mousavi said. The most advanced AI systems out there are merely products that follow processes defined by smart people. They can’t make decisions on their own.
In machine learning, which includes deep learning and neural networks, an algorithm is presented with boatloads of training data — examples of whatever it is that the algorithm is learning to do, labeled by people — until it can complete the task on its own. For facial recognition software, this means feeding thousands of photos or videos of faces into the system until it can reliably detect a face from an unlabeled sample.
Our best machine learning algorithms are generally just memorizing and running statistical models. To call it “learning” is to anthropomorphize machines that operate on a very different wavelength from our brains. Artificial intelligence is now such a big catch-all term that practically any computer program that automatically does something is referred to as AI.
Artificial intelligence is now such a big catch-all term that practically any computer program that automatically does something is referred to as AI.
If you train an algorithm to add two numbers, it will just look up or copy the correct answer from a table, Mikolov, the Facebook AI scientist, explained. But it can’t generalize a better understanding of mathematical operations from its training. After learning that five plus two equals seven, you as a person might be able to figure out that seven minus two equals five. But if you ask your algorithm to subtract two numbers after teaching it to add, it won’t be able to.The artificial intelligence, as it were, was trained to add, not to understandwhat it means to add. If you want it to subtract, you’ll need to train it all over again — a process that notoriously wipes out whatever the AI system had previously learned.
“It’s actually often the case that it’s easier to start learning from scratch than trying to retrain the previous model,” Mikolov said.
These flaws are no secret to members of the AI community. Yet, all the same, these machine learning systems are often touted as the cutting edge of artificial intelligence. In truth, they’re actually quite dumb.
Take, for example, an image captioning algorithm. A few years back, one of these got some wide-eyed coverage because of the sophisticated language it seemed to generate.
“Everyone was very impressed by the ability of the system, and soon it was found that 90 percent of these captions were actually found in the training data,” Mikolov told Futurism. “So they were not actually produced by the machine; the machine just copied what it did see that the human annotators provided for a similar image so it seemed to have a lot of interesting complexity.” What people mistook for a robotic sense of humor, Mikolov added, was just a dumb computer hitting copy and paste.
“It’s not some machine intelligence that you’re communicating with. It can be a useful system on its own, but it’s not AI,” said Mikolov. He said that it took a while for people to realize the problems with the algorithm. At first, they were nothing but impressed.
Image Credit: Victor Tangermann
WHERE DID WE GO so off course? The problem is when our present-day systems, which are so limited, are marketed and hyped up to the point that the public believes we have technology that we have no goddamn clue how to build.
“I am frequently entertained to see the way my research takes on exaggerated proportions as it progresses through the media,” Nancy Fulda, a computer scientist working on broader AI systems at Brigham Young University, told Futurism. The reporters who interview her are usually pretty knowledgeable, she said. “But there are also websites that pick up those primary stories and report on the technology without a solid understanding of how it works. The whole thing is a bit like a game of ‘telephone’ — the technical details of the project get lost and the system begins to seem self-willed and almost magical. At some point, I almost don’t recognize my own research anymore.”
“At some point, I almost don’t recognize my own research anymore.”
Some researchers themselves are guilty of fanning this flame. And then the reporters who don’t have much technical expertise and don’t look behind the curtain are complicit. Even worse, some journalists are happy to play along and add hype to their coverage.
Other problem actors: people who make an AI algorithm present the back-end work they did as that algorithm’s own creative output. Mikolov calls this a dishonest practice akin to sleight of hand. “I think it’s quite misleading that some researchers who are very well aware of these limitations are trying to convince the public that their work is AI,” Mikolov said.
That’s important because the way people think AI research is going will depend on whether they want money allocated to it. This unwarranted hype could be preventing the field from making real, useful progress. Financial investments in artificial intelligence are inexorably linked to the level of interest (read: hype) in the field. That interest level — and corresponding investments — fluctuate wildly whenever Sophia has a stilted conversation or some new machine learning algorithm accomplishes something mildly interesting. That makes it hard to establish a steady, baseline flow of capital that researchers can depend on, Mikolov suggested.
Mikolov hopes to one day create a genuinely intelligent AI assistant — a goal that he told Futurism is still a distant pipedream. A few years ago, Mikolov, along with his colleagues at Facebook AI, published a paper outlining how this might be possible and the steps it might take to get there. But when we spoke at the Joint Multi-Conference on Human-Level Artificial Intelligence held in August by Prague-based AI startup GoodAI, Mikolov mentioned that many of the avenues people are exploring to create something like this are likely dead ends.
One of these likely dead ends, unfortunately, is reinforcement learning. Reinforcement learning systems, which teach themselves to complete a task through trial and error-based experimentation instead of using training data (think of a dog fetching a stick for treats), are often oversold, according to John Langford, Principal Researcher for Microsoft AI. Almost anytime someone brags about a reinforcement-learning AI system, Langford said, they actually gave the algorithm some shortcuts or limited the scope of the problem it was supposed to solve in the first place.
The hype that comes from these sorts of algorithms helps the researcher sell their work and secure grants. Press people and journalists use it to draw audiences to their platforms. But the public suffers — this vicious cycle leaves everyone else unaware as to what AI can really do.
There are telltale signs, Mikolov says, that can help you see through the misdirection. The biggest red flag is whether or not you as a layperson (and potential customer) are allowed to demo the technology for yourself.
“A magician will ask someone from the public to test that the setup is correct, but the person specifically selected by the magician is working with him. So if somebody shows you the system, then there’s a good likelihood you are just being fooled,” Mikolov said. “If you are knowledgeable about the usual tricks, it’s easy to break all these so-called intelligent systems. If you are at least a little bit critical, you will see that what [supposedly AI-driven chatbots] are saying is very easy to distinguish from humans.”
Mikolov suggests that you should question the intelligence of anyone trying to sell you the idea that they’ve beaten the Turing Test and created a chatbot that can hold a real conversation. Again, think of Sophia’s prepared dialogue for a given event.
“Maybe I should not be so critical here, but I just can’t help myself when you have these things like the Sophia thing and so on, where they’re trying to make impressions that they are communicating with the robot at so on,” Mikolov told Futurism.”Unfortunately, it’s quite easy for people to fall for these magician tricks and fall for the illusion, unless you’re a machine learning researcher who knows these tricks and knows what’s behind them.”
Unfortunately, so much attention to these misleading projects can stand in the way of progress by people with truly original, revolutionary ideas. It’s hard to get funding to build something brand new, something that might lead to AI that can do what people already expect it to be able to do, when venture capitalists just want to fund the next machine learning solution.
If we want those projects to flourish, if we ever want to take tangible steps towards artificial general intelligence, the field will need to be a lot more transparent about what it does and how much it matters.
“I am hopeful that there will be some super smart people who come with some new ideas and will not just copy what is being done,” said Mikolov. “Nowadays it’s some small, incremental improvement. But there will be smart people coming with new ideas that will bring the field forward.”
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
WATCH THE BOSTON DYNAMICS ROBODOG TWERK AND MOONWALK TO “UPTOWN FUNK”
WATCH THE BOSTON DYNAMICS ROBODOG TWERK AND MOONWALK TO “UPTOWN FUNK”
KRISTIN HOUSER__FILED UNDER: ROBOTS & MACHINES
The last time we saw Boston Dynamics’s dog-like robot SpotMini, it was on the job, prancing around a construction site to demonstrate its surveying skills.
But all work and no play makes SpotMini a dull bot. Sometimes, a robodog just wants to dance.
Just Watch
On Tuesday, Boston Dynamics release a video of SpotMini dancing to Mark Ronson’s “Uptown Funk.”
In the clip, the bot demonstrates a bevy of surprising slick moves. It twerks. It moonwalks. It suggestively gyrates its robot hips while seemingly staring directly into your soul.
Clearly, if things don’t work out in the construction industry, SpotMini could always pursue a career as a backup dancer. And that’s great because even a robodog needs to have options.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
15-10-2018
Scientists Have Created Shape Shifting Liquid Metal That Can Be Programmed
Scientists Have Created Shape Shifting Liquid Metal That Can Be Programmed
This metal can be applied to many operations in the future, including soft robotics and even flexible computer displays.
By Danielle De La Bastide
In a terrifying breakthrough similar to the metal morphing villain in Terminator 2, scientists at the University of Sussex and Swansea University have discovered a way to apply electrical charges to liquid metal and coax it into 3D shapes such as letters and even a heart.
This discovery has been called an “extremely promising” new kind of material that can be programmed to alter its shape.
Yutaka Tokuda, the Research Associate, working on this project at the University of Sussex, says: “This is a new class of programmable materials in a liquid state which can dynamically transform from a simple droplet shape to many other complex geometry in a controllable manner.
“While this work is in its early stages, the compelling evidence of detailed 2D control of liquid metals excites us to explore more potential applications in computer graphics, smart electronics, soft robotics and flexible displays.”
The scientists used electric fields to shape the liquid; these areas are created by a computer meaning that both the position and form of the liquid metal can be manipulated dynamically.
Professor Sriram Subramanian, head of the INTERACT Lab at the University of Sussex, said: “Liquid metals are an extremely promising class of materials for deformable applications; their unique properties include voltage-controlled surface tension, high liquid-state conductivity and liquid-solid phase transition at room temperature.
One of the long-term visions of us and many other researchers is to change the physical shape, appearance, and functionality of any object through digital control to create intelligent, dexterous and useful objects that exceed the functionality of any current display or robot.”
The research was presented last month at the ACM Interactive Surfaces and Spaces 2017 conference in Brighton.
Carnegie Mellon Metal Alloy
This development is not the only one to emerge within the science community, research engineers at Carnegie Mellon University have created a new metal alloy that exists in a liquid state at room temperature and can capacitate liquid metal transistors, flexible circuitry and perhaps even self-repairing circuits in the far-flung future.
Created at the Soft Machines Lab at Carnegie Mellon by researchers Carmel Majidi, Michael Dickey, and James Wissman, this alloy is the result of a marrying of indium and gallium. It would only take two drops of this liquid metal to form or break a circuit thereby opening or closing an entry, similar to a traditional transistor.Better yet, it only requires a voltage of 1 - 10 volts.
Electronic Blood
These molten metals or “electronic blood” are set to completely change computing for upcoming generations. IBM has also been developing its own form of electric sustenance since 2013, REPCOOL, or Redox flow electrochemistry for power delivery and cooling, is a project modeled after the structure and power supply of the brain, where our blood capillary system both cools and supplies energy to this vital organ. With electronic blood, the researchers believe the same effect can be applied to overheated computers.
"Compared to today's top computers, however, the human brain is roughly 10,000 times denser and 10,000 times more energy-efficient. The research team believes that their approach could reduce the size of a computer with a performance of 1 petaflop/s from the dimensions of a school classroom to that of an average PC, or in other words to a volume of about 10 liters," said Dr. Bruno Michel from IBM Research.
The first applications of this Electronic Blood should take place in 2030.
Robots and artificial intelligence are rapidly spreading to more and more areas of our daily lives in a sometimes uneasy alliance. Of all these developments, though, the one which most strongly hints at the strange-but-inevitable future in which humans and robots share the Earth as equals is the rise of sex robots. I guess it was inevitable that as soon as we were able to make walking, talking robots, people would begin finding ways to do naughty things them. Our reproductive drives are among the strongest in the human experience, and taking the human element out of the equation somewhat simplifies things.
Emphasis on “somewhat.”
Of course, there are dangers and downsides to sexbots. Like any technology, they can malfunction or be hacked, and sex robots also open the possibility that people will use them for acts which are illegal or dangerous with real humans. Nevertheless, many groups including the Church of Satan believe that sex robots will be a positive development for humankind, offering the “freedom of choice to satisfy your most secret desires with no-one to be bothered” or harmed by whatever you happen to do once your clothes come off. Or stay on, you do you.
QUERY: WAS THE INTERACTION EQUALLY ACCEPTABLE FOR BOTH PARTIES?
While ethicists, roboticists, and psychologists debate the merits and negatives of sex with robots, interesting questions have arisen. For one: if you asked your sex robot to whip you, choke you, pour hot wax on you, or engage in other acts of BDSM play (bondage, discipline, sadism, or masochism), would the robots be able to comply? Should they be able to comply? After all, chief among Isaac Asimov’s Three Laws of Robotics is that the law “a robot may not injure a human being or, through inaction, allow a human being to come to harm.” The second law states that “a robot must obey the orders given it by human beings except where such orders would conflict with the First Law.” Put these in the context of BDSM sexbots, and it’s easy to see how complicated things could get.
While Asimov’s laws aren’t necessarily followed by everyone in the robotics industry, they have for decades served as a sort of baseline for how we conceptualize human-robot interactions. Thus, these laws can serve as food for thought for how we might shape laws concerning all sorts of robotic companions, including sex robots. This week, Gizmodo surveyed a group of lawyers, ethicists, computer scientists, and philosophers whether or not (hypothetical) BDSM sex robots would violate Isaac Asimov’s Three Laws of Robotics, and the answers, as you might imagine, were mixed and thought-provoking.
Most, however, seemed to center on the fact that “harm” and the types of pain inflicted by BDSM practices aren’t quite the same thing andthat harm inflicted by a BDSM robot would be presumably welcomed by the human user. Should robots be able to whip us if we ask them to? I mean, why not? With a few bucks’ worth of parts from the local hardware store and some duct tape, you could rig up your electric drill to do the same thing. Why not give the drill a human face and natural language processing to make the whole thing more exciting?
While these types of questions might seem silly, commercial sex robots are already available for sale and recent developments suggest it will only be a few users before full-on robot brothels start popping up around the world. We’ll soon have to grapple with questions of BDSM robots, suicide-by-robot, and other ethical gray areas which will appear as robots rise up to take their place alongside humankind.
Beste bezoeker, Heb je zelf al ooit een vreemde waarneming gedaan, laat dit dan even weten via email aan Frederick Delaere opwww.ufomeldpunt.be. Deze onderzoekers behandelen jouw melding in volledige anonimiteit en met alle respect voor jouw privacy. Ze zijn kritisch, objectief maar open minded aangelegd en zullen jou steeds een verklaring geven voor jouw waarneming! DUS AARZEL NIET, ALS JE EEN ANTWOORD OP JOUW VRAGEN WENST, CONTACTEER FREDERICK. BIJ VOORBAAT DANK...
Druk op onderstaande knop om je bestand , jouw artikel naar mij te verzenden. INDIEN HET DE MOEITE WAARD IS, PLAATS IK HET OP DE BLOG ONDER DIVERSEN MET JOUW NAAM...
Druk op onderstaande knop om een berichtje achter te laten in mijn gastenboek
Alvast bedankt voor al jouw bezoekjes en jouw reacties. Nog een prettige dag verder!!!
Over mijzelf
Ik ben Pieter, en gebruik soms ook wel de schuilnaam Peter2011.
Ik ben een man en woon in Linter (België) en mijn beroep is Ik ben op rust..
Ik ben geboren op 18/10/1950 en ben nu dus 74 jaar jong.
Mijn hobby's zijn: Ufologie en andere esoterische onderwerpen.
Op deze blog vind je onder artikels, werk van mezelf. Mijn dank gaat ook naar André, Ingrid, Oliver, Paul, Vincent, Georges Filer en MUFON voor de bijdragen voor de verschillende categorieën...
Veel leesplezier en geef je mening over deze blog.