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New clip of ATLAS, having some problems but interesting to see.


If at first you don’t succeed, try again—and, if you’re a robot, again and again and again and again and again and again. Because it’s worth remembering that unlike many humans, automatons will keep at a task until they do achieve success.

This GIF of Boston Dynamics’s Atlas robot taking a tumble, sliced from a TED talk published Monday, has gone viral. Presumably, that’s because when humans aren’t fretting about how they’ll steal our jobs, we sure do seem to enjoy laughing at robots falling over.

But robots are tenacious: failures don’t demoralize them the way they do humans. So you can bet that Atlas carried on trying to nail the task of moving a box for hours, and then shared its learnings with all its buddies so that none of them make the same mistake in the future. (And at any rate, the robot that steals your job is unlikely to be a humanoid.)

Three Chinese internet majors have set up what is claimed to be the one of the largest open databases for artificial intelligence (AI) in the world, aimed at helping global talent advance AI research by harnessing the huge data pool generated by China’s 750 million internet users.


The platform wants to empower AI researchers and developers to advance their research without constraints of data resources, say its backers.

PUBLISHED : Monday, 14 August, 2017, 5:52pm.

UPDATED : Monday, 14 August, 2017, 5:52pm.

Pan’s company is at the vanguard of a trend that could have devastating consequences for Asia’s poorest nations. Low-cost manufacturing of clothes, shoes, and the like was the first rung on the economic ladder that Japan, South Korea, China, and other countries used to climb out of poverty after World War II. For decades that process followed a familiar pattern: As the economies of the early movers shifted into more sophisticated industries such as electronics, poorer countries took their place in textiles, offering the cheap labor that low-tech factories traditionally required. Manufacturers got inexpensive goods to ship to Walmarts and Tescos around the world, and poor countries were able to provide mass industrial employment for the first time, giving citizens an alternative to toiling on farms.


Automation threatens to block the ascent of Asia’s poor. Civil unrest could follow.

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Tonight during Valve’s yearly Dota 2 tournament, a surprise segment introduced what could be the best new player in the world — a bot from Elon Musk-backed startup OpenAI. Engineers from the nonprofit say the bot learned enough to beat Dota 2 pros in just two weeks of real-time learning, though in that training period they say it amassed “lifetimes” of experience, likely using a neural network judging by the company’s prior efforts. Musk is hailing the achievement as the first time artificial intelligence has been able to beat pros in competitive e-sports.

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Mattis, speaking in Mountain View, a stone’s throw from Google’s campus, hopes the tech industry will help the Pentagon catch up. He was visiting the Defense Innovation Unit Experimental, an organization within the DoD started by his predecessor Ashton Carter in 2015 to make it easier for smaller tech companies to partner with the Department of Defense and the military. DIUx has so far sunk $100 million into 45 contracts, including with companies developing small autonomous drones that could explore buildings during military raids, and a tooth-mounted headset and microphone.


The academic and commercial spheres are seeing rapid advances in AI technology. And the Pentagon wants in.

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With sufficient training on digitized writing, spoken words, images, video streams and other digital content, ML has become the basis of voice recognition, self-driving cars, and other previously only-imagined capabilities. As billions of phones, appliances, drones, traffic lights, security systems, environmental sensors, and other radio-connected devices sum into a rapidly growing Internet of Things (IoT), there now is a need to apply ML to the invisible realm of radio frequency (RF) signals, according to program manager Paul Tilghman of DARPA’s Microsystems Technology Office. To further that cause, DARPA today announced its new Radio Frequency Machine Learning Systems (RFMLS) program. Find out more: http://www.darpa.mil/news-events/2017-08-11a

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DeepMind’s scientific mission is to push the boundaries of AI by developing systems that can learn to solve complex problems. To do this, we design agents and test their ability in a wide range of environments from the purpose-built DeepMind Lab to established games, such as Atari and Go.

Testing our agents in games that are not specifically designed for AI research, and where humans play well, is crucial to benchmark agent performance. That is why we, along with our partner Blizzard Entertainment, are excited to announce the release of SC2LE, a set of tools that we hope will accelerate AI research in the real-time strategy game StarCraft II. The SC2LE release includes:

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Why are we often so wrong about how the future and future technology will reshape society and our personal lives? In this new video from the Galactic Public Archives, Futurist Gray Scott tells us why he thinks it is important to look at all aspects of the future.

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