Anti-Artificial Intelligence Protests Begin – SXSW – South by Southwest Protest by StopTheRobots.org – Video


Anti-Artificial Intelligence Protests Begin - SXSW - South by Southwest Protest by StopTheRobots.org
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03-17-15 NPR / WBUR: Framingham Startup Uses Artificial Intelligence To Find Cancer Drugs – Video


03-17-15 NPR / WBUR: Framingham Startup Uses Artificial Intelligence To Find Cancer Drugs
NPR #39;s Curt Nickisch talks to Berg about our approach to drug discovery utilizing artificial intelligence and our cancer therapeutic candidate BPM31510.

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03-17-15 NPR / WBUR: Framingham Startup Uses Artificial Intelligence To Find Cancer Drugs - Video

Interview with Dr. Venable, Tulane University Department of Computer Science – Video


Interview with Dr. Venable, Tulane University Department of Computer Science
K. Brent Venable currently holds a joint appointment as associate professor of computer science at Tulane University and research scientist at IHMC. Her main research interests are within artificia...

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It’s Okay (One Blood) vs. No Return (The Game vs. Artificial Intelligence) | DJ HERO 3 – Video


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Google's FaceNet facial recognition claims to be the best yet

Three Google researchers have published a paper on a new artificial intelligence system called FaceNet, that they claim is one of the most-accurate ways of identifying human faces.

The Google researchers, Florian Schroff, Dmitry Kalenichenko and James Philbin, say that their system achieved a new record accuracy of 99.63 per cent on the widely used Labeled Faces in the Wild (LFW) dataset. On YouTube Faces DB it achieved 95.12 per cent. "Our system cuts the error rate in comparison to the best published result by 30 per cent on both datasets," the paper claims.

Facial recognition is a high-interest area for both companies and governments alike. In 2014, researchers from Facebook had published a paper claiming more than 97 per cent accuracy in recognising faces. Another group of Chinese researchers claimed better than 99 per cent accuracy, according to a report on Fortune.

Google researchers have published a paper on a new artificial intelligence system called FaceNet, that they claim is one of the most-accurate ways of identifying human faces. (Facial recognition, via Shutterstock)

These systems incorporate an artificial intelligence technique called deep learning and also includes recognising voices and understanding the content of written text.

Aside from Google and Facebook, companies including Microsoft, Baidu, and Yahoo are also investing heavily in deep learning research, says the Fortune report. The US Department of Defence's research agency DARPA, is also looking at ways in which deep learning techniques could be able to help it make sense of the massive streams of communications crossing intelligence networks.

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Google's FaceNet facial recognition claims to be the best yet

12 Risks that threaten Human civilisation. Which risk will end the world? – Video


12 Risks that threaten Human civilisation. Which risk will end the world?
A research report prepared by The Global Challenges Foundation and Oxford University is giving list of 12 risks that threaten human civilisation. Few of the threats are "exogenic", arising...

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12 Risks that threaten Human civilisation. Which risk will end the world? - Video

Artificial Intelligence: Threat to survival of the human race? – Video


Artificial Intelligence: Threat to survival of the human race?
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Artificial Intelligence App Review | DON’T BUY! Another Binary Options Software SCAM System? – Video


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The Artificial Intelligence APP Review – Honest Review For A I APP – Video


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Ex Machina Official Trailer #2 (2015) – Domhnall Gleeson, Oscar Isaac, Alicia Vikander HD – Video


Ex Machina Official Trailer #2 (2015) - Domhnall Gleeson, Oscar Isaac, Alicia Vikander HD
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Will Smart Machines Make Us Stupid? AI Experts Weigh In

Society stands at a crossroads of artificial intelligence: We can design computers that sharpen our wits or we can let our machines turn us into ignoramuses. That observation capped a provocative panelon Tuesday at Austins South By Southwest conference.

Increasingly intelligent machines search engines that yield knowledge on demand, smartphones that understand plain English, computers that proffer medical diagnoses, ad tech that offers to sell you just what youre looking for represent a tipping point, said Doug Lenat, a former Stanford and Carnegie Mellon computer science professor who is CEO of Cycorp, a maker of machine reasoning software. We could become smarter or dumber muchsmarter ormuchdumber.

Electronic calculators, Lenat argued during the panel entitled AI State of the Union,have created generations of students who can perform mathematical tasks very quickly but dont understand the underlying concepts. Similarly, Google swaddles users in a blanket of instant information, relieving them of the burden of independent thought and inquiry. The next wave of artificial intelligence loosely defined as a computers ability to distinguish between useful and useless information at any given moment could propel us irrevocably down that path.

This could lead to Idiocracy, Lenat said, referring to the 2006 Hollywood satire about a future in which human intellect has taken a steep dive. The result would be a society where no one has to understand anything about the world, where everything just seems like magic.

Alternatively, he said, computer scientists could design artificial intelligence to challenge us the way Aristotle challenged Alexander the Great, to make us smarter, more rational, more human, to understand the world more deeply.

AI lately has taken a turn from digital smarts based on rules (furry faces with whiskers and triangular ears are cats) toward those based on recognizing patterns (some online pictures have certain similarities, and the word cat in the caption may mean theyre cats), the panelists agreed. The latest advance, known as deep learning, is based on decades-old technology that became practical only in recent years, as greater processing power has enabled computers to achieve higher orders of learning and vast accumulations of data on the Internet have given them enough training to draw relevant conclusions.

The shift could be viewed as a transition from left-brain thinking based on logic to right-brain thinking based on intuition. Both modes will be necessary to further advances in AI, yet the brain devotes far more time to intuitive than rational thinking, pointed out Monica Anderson, CEO of Syntience and a specialist in artificial intuition.

Reasoning is the sugar on top of intuitive understanding, Anderson said.

The key challenge will be getting computers to recognize context, the panelists said. Humans have little problem recognizing biases introduced by politics or limitations due to outdated information, but machines are blind to contexts they havent been specifically programmed to recognize.

One answer is to design AI that asks clarifying questions, said Fred Brown, CEO of Next IT Corp, which builds virtual assistant technology. Geeks want machines that do things without asking, he said. But what makes good AI is good communication with the user.

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Will Smart Machines Make Us Stupid? AI Experts Weigh In