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The company and partners like Universal Music Group (UMG) have unveiled a set of principles for AI music. In theory, the approach encourages adoption while keeping artists paid. To start, YouTube maintains that "AI is here" and that it must have a "responsible" strategy. Accordingly, it's forming a Music AI Incubator that will influence the company's strategy. UMG and artists it represents (including Rosanne Cash, Yo Gotti and Frank Sinatra's estate) will help gather insights from YouTube's AI experiments.

Military and weapons researchers have developed microwave guns and lasers that can be used to disable soldiers or shoot down drones -- but a new report from the CIA and other intelligence agencies say that these kinds of weapons probably aren't responsible for the condition known as Havana Syndrome. When US personnel overseas began suffering from unexplained headaches, nausea and hearing problems in 2016, many were quick to suspect foul play by a foreign adversary. A panel of experts concluded that the anomalous health incidents that came to be known as Havana Syndrome could plausibly have been caused by "pulsed electromagnetic energy," prompting some of those afflicted with the condition to blame their symptoms on a mysterious new energy weapon, possibly wielded by Russian operatives. Now, seven intelligence agencies say that panel got it wrong. The Washington Post reports that even after reviewing about 1,000 cases across the world, the CIA and half a dozen agencies concluded that it was unlikely that the symptoms were caused by a foreign adversary.

We are all familiar with the dictum that "correlation does not imply causation". Furthermore, given a data file with samples of two variables x and z, we all know how to calculate the correlation between x and z. But it's only an elite minority, the few, the proud, the Bayesian Network aficionados, that know how to calculate the causal connection between x and z. Neural Net aficionados are incapable of doing this. Their Neural nets are just too wimpy to cut it.

We are all familiar with the dictum that "correlation does not imply causation". Furthermore, given a data file with samples of two variables x and z, we all know how to calculate the correlation between x and z. But it's only an elite minority, the few, the proud, the Bayesian Network aficionados, that know how to calculate the causal connection between x and z. Neural Net aficionados are incapable of doing this. Their Neural nets are just too wimpy to cut it.

WASHINGTON – The spotlight on brain injuries suffered by American troops in Iraq in January is an example of America's episodic attention to this invisible war wound, which has affected hundreds of thousands over the past two decades but is not yet fully understood. Unlike physical wounds, such as burns or the loss of limbs, traumatic brain injuries aren't obvious and can take time to diagnose. The full impact -- physically and psychologically -- may not be evident for some time, as studies have shown links between TBI and mental health problems. They cannot be dismissed as mere "headaches" -- the word used by President Donald Trump as he said the injuries suffered by the troops in Iraq were not necessarily serious. Gen. Mark Milley, chairman of the Joint Chiefs of Staff and a veteran of combat in Iraq and Afghanistan, told reporters Thursday that the number of service members diagnosed with TBI from the Jan. 8 Iranian missile attack in Iraq has now grown beyond the 50 reported earlier this week, although he provided no specific number.

As data scientists frequently training models while in grad school and at work, we've faced many challenges in the model building process. This problem has recently gotten significant awareness in the community and here is a blog by Pete Warden from Google. These problems gave us countless headaches, and after talking to our friends, we knew we weren't alone. We wanted something that would not only keep track of configuration and results during the experiment but also allow data scientists to reproduce any experiment with re-runs! We initially built it as an internal solution for tracking our experiments, making them reproducible, and with easy setup of environments.

Between Silicon Valley's disruption-happy tech giants and Detroit's suddenly totally on board automakers, it's easy to think of America as the center of the self-driving universe. And so it seems a bit backwards that Audi has decided to release the world's most capable semiautonomous driving feature in … Europe. When the 2019 A8 sedan hits dealer lots later this year, Europeans will have access to Traffic Jam Pilot, which will take control of the car on the highway at speeds below 37 mph; no need for the constant human supervision required by current systems like Tesla's Autopilot. On this side of das pond, however, as CNET reports, too many questions remain about laws that change from one state to the next, insurance requirements, and things like lane lines and road signs that look different in different regions. When the A8 goes on sale here, it won't come with Traffic Jam Pilot.

Ask many interviewers about their least favorite part of the job and they'll almost always point to transcription. It can take hours to turn even a short chat into text, which is a serious pain for everyone from reporters to police interrogators. China tech giant Baidu may have a smarter approach: artificial intelligence. It just released a beta for SwiftScribe, a transcription app that uses a neural network to make sense of speech. The software not only promises relatively accurate speech-to-text processing thanks to training on "thousands of hours" of recordings, but learns from edits. It should account more for how people actually speak, saving you from making a load of edits.

As if that's not enough, the approximately 75,000 pizza shop owners in this country, like most small business owners, are facing higher costs of employment this year–from rising minimum wages to requirements for more overtime pay and increased demands for paid time off. To reduce their labor costs, big companies are investing heavily in technology to automate manual processes and encourage more customers to help themselves. But the typical pizza shop owner can't do that. Alex Garden and Julia Collins and their Silicon Valley start-up, Zume Pizza, are about to turn the business of making pizza as inside-out as a calzone. And in doing so they could disrupt an industry that employs tens of thousands of people.