Last week, Tay began its Twitter tenure with a handful of innocuous tweets, but the account quickly devolved into a stream of anti-Semitic, racist and sexist invective.

Last week, Microsoft released an AI chatbot on Twitter with disastrous results. Though the TayTweets robot began life with innocent-enough tweets, it eventually started to spew hateful rhetoric about feminism, immigrants, and even claimed that the Holocaust didn't happen. It was a PR nightmare for Microsoft, and the tech giant eventually pulled the plug on their creation after 15 hours. Out of all the hateful things the chatbot said, there was one which was very amusing considering which company created it. The A.I. was asked whether Sony's PlayStation 4 or Microsoft's own Xbox One was the better system.

This challenge will evaluate the potential of neural networks to recognize authorship over a variety of unstructured handwriting images. The data will include different document types, paper texture, pens used, and writer range of variation. We will implement state of the art technologies that have shown promise in computer vision related to visual attention (what features to specifically pay attention to) and sequential modeling (in what order do writers use pen strokes).

One Day, Robots may take over the world from us, leaving humanity to wonder when artificial intelligence (AI) became too powerful. That horrible scenario is unlikely in the near term because humans have a major advantage over machines: the ability to learn. But that gap between human and robots may decrease slowly in future, Artificial intelligence has capable learning now. Today's most sophisticated AI systems rely on learning from tens to hundreds of examples, whereas humans can learn from a few or even one. Taking inspiration from the way humans seem to learn, scientists have created AI software capable of picking up new knowledge in a far more efficient and sophisticated way.

In the last year we've been both amazed and horrified by Google's DeepDream, which can turn any image into a psychedelic lizard-dog freak-out, and we've loved the results of DeepForger, which uses a similar process but instead turns pictures into more traditional works of art. The problem with both of these impressive techniques is that the results can be very random; there's no way of telling what you're going to get, or of tweaking the process to steer it in a particular direction. But now there's a new AI-powered algorithm that offers a lot more control and enables you create stunning artwork based on any painting you like. Neural Doodles is the work of Alex J Champandard, AI expert and the creator of DeepForger, and like DeepForger it'll create new works based on existing paintings. Unlike DeepForger, though, it allows you to direct how the work is created, using a process called Semantic Style Transfer.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

March 30 (Reuters) - Almost a week after being shut down for spewing racist and sexist comments on Twitter, Microsoft Corp's artificial intelligence'chatbot' called Tay briefly rejoined Twitter on Wednesday only to launch a spam attack on its followers. The incident marks another embarrassing setback for the software company that is trying to get ahead of Alphabet Inc's Google, Facebook Inc and other tech firms in the race to create virtual agents that can interact with people. The TayTweets (@TayandYou) Twitter handle was made private and the chatbot stopped responding to comments Wednesday morning after it fired off the same tweet to many users. "You are too fast, please take a rest...," tweeted Tay to hundreds of Twitter profiles, according to screen images published by technology website The Verge. A Microsoft representative did not respond to a request for comment.

Big data may hold a world of untapped potential, but what happens when your data set is bigger than your processing power can handle? A new algorithm that taps quantum computing may be able to help. That's according to researchers from MIT, the University of Waterloo and the University of Southern California who published a paper Monday describing a new approach to handling massively complex problems. By combining quantum computing and topology -- a branch of geometry -- the new machine-learning algorithm can streamline highly complex problems and put solutions within closer reach. Topology focuses on properties that stay the same even when something is bent and stretched, and it's particularly useful for analyzing the connections in complex networks, such as the U.S. power grid or the global interconnections of the Internet.

People who rely on satnav could be at risk of losing their ability to navigate, an expert has warned. Writing in the journal Nature, former president of the Royal Institute of Navigation Roger McKinlay argues that our reliance on GPS technology is misplaced and could be eroding our innate way-finding abilities. "If we do not cherish them, our natural navigation abilities will deteriorate as we rely ever more on smart devices," he wrote. McKinlay believes huge investment will be needed before navigation systems will be good enough to allow technologies such as autonomous vehicles to take off. In the meantime, he argues, we need better research into systems for navigation while children should be encouraged to learn how to find their way around by more traditional means.

I consider myself an advanced theano user, and was curious about TensorFlow. I don't know if it's the person's coding style that perturbs me, but the autoencoder.py