Researchers gather at Brown to discuss next-generation artificial intelligence

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PROVIDENCE, R.I. [Brown University] -- The past few years have witnessed a revolution in artificial intelligence. AI systems are beating humans on reading comprehension tests, clobbering board game champions and enabling cars to drive themselves. Even more mundane AI systems, like smartphone apps that recognize faces and personal assistants that understand verbal commands, were seemingly insurmountable challenges just a decades or so ago.


AI and Deep Learning in 2017 – A Year in Review

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The year is coming to an end. I did not write nearly as much as I had planned to. But I'm hoping to change that next year, with more tutorials around Reinforcement Learning, Evolution, and Bayesian Methods coming to WildML! And what better way to start than with a summary of all the amazing things that happened in 2017? Looking back through my Twitter history and the WildML newsletter, the following topics repeatedly came up. I'll inevitably miss some important milestones, so please let me know about it in the comments!


AI and Deep Learning in 2017 – A Year in Review

@machinelearnbot

The year is coming to an end. I did not write nearly as much as I had planned to. But I'm hoping to change that next year, with more tutorials around Reinforcement Learning, Evolution, and Bayesian Methods coming to WildML! And what better way to start than with a summary of all the amazing things that happened in 2017? Looking back through my Twitter history and the WildML newsletter, the following topics repeatedly came up. I'll inevitably miss some important milestones, so please let me know about it in the comments!


AI and Deep Learning in 2017 – A Year in Review

#artificialintelligence

The year is coming to an end. I did not write nearly as much as I had planned to. But I'm hoping to change that next year, with more tutorials around Reinforcement Learning, Evolution, and Bayesian Methods coming to WildML! And what better way to start than with a summary of all the amazing things that happened in 2017? Looking back through my Twitter history and the WildML newsletter, the following topics repeatedly came up. I'll inevitably miss some important milestones, so please let me know about it in the comments!


MIT researchers are now teaching computers to predict the future

#artificialintelligence

Using algorithms partially modeled on the human brain, researchers from the Massachusetts Institute of Technology have enabled computers to predict the immediate future by examining a photograph. A program created at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) essentially watched 2 million online videos and observed how different types of scenes typically progress: people walk across golf courses, waves crash on the shore, and so on. Now, when it sees a new still image, it can generate a short video clip (roughly 1.5 seconds long) showing its vision of the immediate future. "It's a system that tries to learn what are plausible videos -- what are plausible motions you might see," says Carl Vondrick, a graduate student at CSAIL and lead author on a related research paper to be presented this month at the Neural Information Processing Systems conference in Barcelona. The team aims to generate longer videos with more complex scenes in the future.