Russia has declared war on the United States after Donald Trump accidentally fired a missile in the air. Russia said it had "identified the missile's trajectory and will take necessary measures to ensure the security of the Russian population and the country's strategic nuclear forces." The White House said it was "extremely concerned by the Russian violation" of a treaty banning intermediate-range ballistic missiles. The US and Russia have had an uneasy relationship since 2014, when Moscow annexed Ukraine's Crimea region and backed separatists in eastern Ukraine. That story is, in fact, not only fake, but a troubling example of just how good AI is getting at fooling us.

The creators of a revolutionary AI system that can write news stories and works of fiction – dubbed "deepfakes for text" – have taken the unusual step of not releasing their research publicly, for fear of potential misuse. OpenAI, an nonprofit research company backed by Elon Musk, says its new AI model, called GPT2 is so good and the risk of malicious use so high that it is breaking from its normal practice of releasing the full research to the public in order to allow more time to discuss the ramifications of the technological breakthrough. At its core, GPT2 is a text generator. The AI system is fed text, anything from a few words to a whole page, and asked to write the next few sentences based on its predictions of what should come next. The system is pushing the boundaries of what was thought possible, both in terms of the quality of the output, and the wide variety of potential uses.

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. I also love shopping, especially when I find a bargain price on something that's actually awesome. Just as in love, if a sale sounds too good to be true, there's probably a catch. Maybe something looks very pretty but then you find out it's not that good at anything.

In 2015, car-and-rocket man Elon Musk joined with influential startup backer Sam Altman to put artificial intelligence on a new, more open course. They cofounded a research institute called OpenAI to make new AI discoveries and give them away for the common good. Now, the institute's researchers are sufficiently worried by something they built that they won't release it to the public. The AI system that gave its creators pause was designed to learn the patterns of language. It does that very well--scoring better on some reading-comprehension tests than any other automated system.

So read the T-shirt sported by Ben Recht, a professor at the University of California, Berkeley, as he collected an award at the Neural Information Processing Systems (NIPS) conference this week. Dr Recht, pictured above in lecture mode, was protesting against the flood of corporate money pouring into NIPS, aping the words Kurt Cobain wrote on a T-shirt when he appeared on the cover of Rolling Stone in 1992. "It's not an academic conference anymore," Dr Recht says wistfully, perched in the Californian sun on the steps of the Long Beach Convention Centre. He complains that folk would rather go to corporate-sponsored parties these days (Intel's featured Flo Rida, a rapper), than poster sessions. AI, it seems, is the new rock and roll.

This Valentine's Day, an AI has collaborated with humans to write a beautiful love song for you. Just think of it as a little computer love. "Love Song" was written with the help of Amadeus Code, the AI songwriting assistant that takes data from centuries of music to inspire songwriters with melodic ideas. While Amadeus Code can assist in the creative process, like any AI, it cannot feel love. This is why collaboration with the Amadeus Code team was necessary to fully bring the track to life.

Companies nowadays use music classification, either to be able to place recommendations to their customers (such as Spotify, Soundcloud) or simply as a product (for example Shazam). Determining music genres is the first step in that direction. Machine Learning techniques have proved to be quite successful in extracting trends and patterns from the large pool of data. The same principles are applied in Music Analysis also. In this article, we shall study how to analyse an audio/music signal in Python. We shall then utilise the skills learnt to classify music clips into different genres.

Popular iPhone apps like Spotify, Angry Birds and Pokemon Go are being pirated using technology developed by Apple, an investigation has revealed. By circumventing Apple's tightly controlled App Store, software pirates have been able to install versions of these apps that allow them to stream music and play games ad free, without having to pay a fee. Illicit software distributors such as TutuApp, Panda Helper, AppValley and TweakBox have found ways to use digital certificates to get access to a program Apple introduced to let corporations distribute business apps to their employees without going through the official app store. Using so-called enterprise developer certificates, these pirate operations are providing modified versions of popular apps to consumers, enabling them to stream music without ads and to circumvent fees and rules in games, depriving Apple and legitimate app makers of revenue. By doing so, the pirate app distributors are violating the rules of Apple's developer programs, which only allow apps to be distributed to the general public through the App Store.

I can't wait to tell my future children about the day robots were about to take over--before one brave man held them at bay. It's an unlikely story, as all the best ones are. Harish Natarajan, just a guy in a vest, beat IBM's computer with wit and verve in a debate tournament this week, Bloomberg reports. Granted, he was the 2012 European debate-tournament winner, and is the record holder for most debate-competition wins overall. Champion of the robots was a human-size black box that IBM has lovingly nicknamed "Miss Debater," which can "[scan] more than 300 million newspaper articles and scientific journals to identify relevant arguments on any given topic." The arena was IBM's Think conference in San Francisco.

I mostly agree with runvnc in that I think this is a very substantial project, but I think if you're willing to make a few compromises and get some help, you could probably do it without it being detectable or intrusive. First, you'd need a VPN to spoof IPs from different countries, locations, etc. Next, you'd need some screen capture software like Nvidia shadowplay. Finally, you'd need a way to determine if an ad has already been added to your catalog, which I think would be pretty non-trivial (maybe save short 3 second sound clips so you can rapidly search those, making the assumption that they're distinct). If it had been, or once the ad was done, stop recording, move on to the next video and start recording (to keep them separate). Then you run multiple machines concurrently spoofing different locations.