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In case you missed it, Facebook’s annual developer conference started today. At the event, CEO Mark Zuckerberg revealed key details about where the company is going next, specifically focusing on what Facebook is working on in relation to bots, virtual reality, augmented reality, and new communication methods (such as advances they are working on in Messenger).

Oh, and he also said that key details are going to be revealed tomorrow about Facebook’s “direct brain interface.”

The work comes from Facebook’s mysterious “Building 8 (B8),” which has apparently been working on brain-computer technologies for some time. In their recent call for an engineer, B8 states that they are seeking “an experienced Brain-Computer Interface (BCI) Engineer who will be responsible for working on a 2-year B8 project focused on developing advanced BCI technologies.”

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In the past 10 years, the best-performing artificial-intelligence systems—such as the speech recognizers on smartphones or Google’s latest automatic translator—have resulted from a technique called “deep learning.”

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years. Neural networks were first proposed in 1944 by Warren McCullough and Walter Pitts, two University of Chicago researchers who moved to MIT in 1952 as founding members of what’s sometimes called the first cognitive science department.

Neural nets were a major area of research in both neuroscience and computer science until 1969, when, according to computer science lore, they were killed off by the MIT mathematicians Marvin Minsky and Seymour Papert, who a year later would become co-directors of the new MIT Artificial Intelligence Laboratory.

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Chinese engineers rolled out a Long March 7 rocket to a seaside launch complex on Hainan Island in the South China Sea on Monday, aiming to fire a robotic refueling freighter into orbit as soon as Thursday to test technology for China’s future space station.

The Tianzhou 1 spacecraft mounted on top of the 174-foot-tall (53-meter) Long March 7 launcher will dock with the Tiangong 2 space lab around two days after liftoff, the first of three linkups planned during the cargo carrier’s mission.

Chinese officials said the automated mission is due to launch some time between Thursday and next Monday.

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Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with waiting a few extra seconds for our emails to push through doesn’t mean we have to simply stand by.

To help us make the most of these “micro-moments,” researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a series of apps called “WaitSuite” that test you on vocabulary words during idle moments, like when you’re waiting for an instant message or for your phone to connect to WiFi.

Building on micro-learning apps like Duolingo, WaitSuite aims to leverage moments when a person wouldn’t otherwise be doing anything — a practice that its developers call “wait-learning.”

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Google’s DeepMind CEO Demis Hassabis shows that AI doesn’t only learn from human knowledge, but also creates new knowledge. AlphaGo has it own creativity and intuition, inventing new knowledge and strategies about Go Game for human professionals to study in 2017.

Go game was invented in ancient China more than 2,500 years ago, is an abstract strategy board game, aiming to surround more territory than the opponent for two players. It is believed to be the oldest board game continuously played today. Despite its relatively simple rules, Go is very complex, even more so than chess, and possesses more possibilities than the total number of atoms in the visible universe. Compared to chess, Go has both a larger board with more scope for play and longer games, and, on average, many more alternatives to consider per move.

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