The holder of 18 international Go titles and a ninth-dan player, Mr Lee became a professional player at the age of 12 and had confidently predicted before the match-up that he would win all five games. In a worst-case scenario, he said, he feared losing one game to AlphaGo. Mr Lee said he has been playing Go - or "baduk", as it is known in Korea - for such a long time that he may have become a little jaded. But the defeat has served to rekindle the old enthusiasm, he said. Immediately after Mr Lee's defeat in the final game, the Korea Baduk Association asked Demis Hassabis, the CEO of AlphaGo designer Google DeepMind, for a rematch.

Everything You Know About Artificial Intelligence is Wrong. Will the Singularity Artificial General Intelligence winners be Hedge Fund Managers, the Military and Spy Agencies? When Artificial Intelligence (AI) work began over 50 years ago, the AI field was directly aimed at the construction of "thinking machines"--that is, computer systems with human-like general intelligence. But this goal proved very difficult to achieve; and so, over the years, AI researchers have come to focus mainly on producing "narrow AI" systems: software displaying intelligence regarding specific tasks in relatively narrow domains. This "narrow AI" work has often been exciting and successful.

For about a year, Sam Fox-Hartin had worked for an on-demand concierge startup called GoButler as a "Hero," the company's term for employees who field users' requests, via text message, and then complete tasks such as booking tables at restaurants, scheduling appointments, or ordering food for delivery on their behalf. Most of these tasks, like the ones I watched Fox-Hartin maneuver when GoButler invited me to visit its New York headquarters last year, were fairly routine. But he also wrote poems. Convinced couriers to deliver dry ice. And in response to one particularly odd request, drew "some horses hanging around a campfire."

When DeepMind's AlphaGo defeated South Korean master Lee Se-dol, it was a historic stride for AI. The depth of this development, coupled with higher computing power and cheaper data storage, is moving AI into the mainstream. Perhaps the most popular application of AI today comes in the form of virtual assistants and bots, or "agents" as my good friend Shivon defines them. An agent can schedule your meetings, manage your finances, book your travels, order your meals, and more. And even though these agents are typically focused on one specific task, it's remarkable to consider how much progress we have made outsourcing mundane work for a fraction of the cost.

South Korea, well known for its IT infrastructure, is promising 3.5 trillion won ( 3 billion) in funding from the public and private sectors to develop artificial intelligence for corporate and university AI projects. South Korea's President Park Geun-hye assembled leaders across the country's tech industry and senior government officials in Seoul last week to announce plans to invest the amount over the next five years. It appears to be largely a reaction to the phenomenal performance of Google's algorithm AlphaGo in an historic AI-versus-human game in Seoul earlier this month, which captured the South Korean media's imagination. "Above all, Korean society is ironically lucky, that thanks to the'AlphaGo shock' we have learned the importance of AI before it is too late," the president told local reporters assembled for the meeting, describing the game as a watershed moment of an imminent "fourth industrial revolution". It also calls for the private sector to match the public sector's commitment with 2.5 trillion won ( 2.14 billion).

Japanese roboticist Hiroshi Ishiguro displayed one of his androids on Sunday at the SXSW Interactive Festival. The android, which is modeled after Ishiguro, held an autonomous conversation in Japanese on stage with an Ishiguro associate. Pepper the robot looks on as panelists discuss advances in robot technology at the SXSW Interactive Festival. Robots played a key role at this year's gathering. AUSTIN – Androids, geminoids and old-fashioned robots roamed the halls of the South by Southwest Interactive Festival this weekend in a plethora of sessions and demonstrations.

In this blog post I will delve into the brain and explain its basic information processing machinery and compare it to deep learning. I do this by moving step-by-step along with the brains electrochemical and biological information processing pipeline and relating it directly to the architecture of convolutional nets. Thereby we will see that a neuron and a convolutional net are very similar information processing machines. While performing this comparison, I will also discuss the computational complexity of these processes and thus derive an estimate for the brains overall computational power. I will use these estimates, along with knowledge from high performance computing, to show that it is unlikely that there will be a technological singularity in this century. This blog post is complex as it arcs over multiple topics in order to unify them into a coherent framework of thought. I have tried to make this article as readable as possible, but I might have not succeeded in all places.

China's ambitions to build its own version of AlphaGo or Sophia the Robot could be a boon for voice technology company iFlytek and surveillance equipment maker Hangzhou Hikvision Digital Technology. While China lags the U.S. in hardware like advanced circuit boards that are key to becoming an artificial intelligence powerhouse, the two Chinese companies showcase the nation's emerging strength in other key technologies that are vital to helping advanced computers learn: algorithms and big data.

DeepMind's stunning victories over Go legend Lee Se-dol have stoked excitement over artificial intelligence's potential more than any event in recent memory. But the Google subsidiary's AlphaGo program is far from its only project -- it's not even the main one. As co-founder Demis Hassabis said earlier in the week, DeepMind wants to "solve intelligence," and he has more than a few ideas about how to get there. Hassabis himself has had an unusual path to this point, but one that makes perfect sense in retrospect. A child chess prodigy who won the Pentamind championship at the Mind Sports Olympiad five times, he rose to fame at a young age with UK computer games developers Bullfrog and Lionhead, working on AI-heavy games like Theme Park and Black & White, and later forming his own studio, Elixir. Hassabis then left the games industry in the mid-2000s to complete a PhD in neuroscience before co-founding DeepMind in 2010.

San Francisco-based startup Fove has developed eye-tracking for virtual reality -- that kernel of technology many feel is key for the illusion of becoming immersed in a setting. Or use a death stare to shoot down virtual spaceships. Watch a movie of a forest or a room and be able to look around wherever you want. "It allows you to go inside the world that's behind the display," said Yuka Kojima, Fove's co-founder and a rare female chief executive in male-dominated Japan Inc. Fove, which comes from "fovea," the part of the eye with the sharpest vision, from "field of view," and the word's similarity with "love," has devised a way to use tiny infrared sensors inside headset goggles to monitor the movements of a wearer's pupils. It's a small company, founded in 2014, with offices in Tokyo, San Francisco and Los Angeles, and employing just 17 people.