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Shai Ben-David, Professor at the University of Waterloo, gave Machine Learning Course composed of 23 Lectures (CS 485/685) at the University of Waterloo on Jan 14, 2015…

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI.

Shai Ben-David holds a PhD in mathematics from the Hebrew University is Jerusalem. He has held postdoctoral positions at the University of Toronto in both the Mathematics and CS departments. He was a professor of computer science at the Technion in Haifa, Israel. Ben-David has held visiting positions at the Australian National University and Cornell University, and since 2004 has been a professor of computer science at the University of Waterloo in Canada.

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Trying to outrun the expiration of Moore’s Law.


As conventional microchip design reaches its limits, DARPA is pouring money into the specialty chips that might power tomorrow’s autonomous machines.

The coming AI revolution faces a big hurdle: today’s microchips.

It’s one thing to get a bunch of transistors on an integrated circuit to crunch numbers, even very large ones. But what the brain does is far more difficult. Processing vast amounts of visual data for use by huge, multi-cellular organism is very different from the narrow calculations of conventional math. The algorithms that will drive tomorrow’s autonomous cars, planes, and programs will be incredibly data-intensive, with needs well beyond what conventional chips were ever designed for. This is one reason for the hype surrounding quantum computing and neurosynaptic chips.

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In addition to opening the lab, Facebook has committed about $5.75 million to support AI research at McGill, the University of Montreal, the Montreal Institute of Learning Algorithms and the Canadian Institute for Advanced Research, the company said in a Facebook blog post on Friday. Alphabet and Microsoft also have invested in AI at McGill and the University of Montreal.

The move comes a week after IBM said it would spend $240 million on a new AI lab in partnership with the Massachusetts Institute of Technology.


Facebook will support Canadian AI research in addition to setting up a lab in Montreal.

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The Facebook AI lab has developed an animated bot that learned to respond naturally to human facial movements during conversation, so much so that volunteers rated its reactions as natural as a human’s.

Most of us are able to intuitively understand human facial expressions: in conversation, millions of tiny muscle movements change our eyes, mouth, head position and more to signal to our fellow humans what we’re thinking. These unconscious movements are what make us human, but they also make it exceptionally difficult for robots to imitate us — and make those that try seem creepy, as they enter the “uncanny valley.”

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MROBOT follows Elliot Alderson (Rami Malek), a cyber-security engineer who, along with Mr. Robot (Christian Slater) and fsociety, starts a revolution to change the world. Picking up immediately following the Season 2 cliffhanger, Season 3 will explore each character’s motivations and the disintegration between Elliot and Mr. Robot.

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