The release continues, "The purpose of the research collaboration between UCLH and DeepMind is to develop artificial intelligence technology to assist clinicians in the segmentation process so that it can be done more rapidly but just as accurately. Clinicians will remain responsible for deciding radiotherapy treatment plans but it is hoped that the segmentation process could be reduced from up to four hours to around an hour. The research involves anonymised radiotherapy images of up to 700 former head and neck cancer patients who have consented to their data being used for research purposes. Dr Yen-Ching Chang, clinical lead for radiotherapy at UCLH, said: 'This is very exciting research which could revolutionise the way in which we plan radiotherapy treatment. Developing machine learning which can automatically differentiate between cancerous and healthy tissue on radiotherapy scans will assist clinicians in planning radiotherapy treatment. This has the potential to free up clinicians to spend even more time on patient care, education and research, all of which would be to the benefit of our patients and the populations we serve'."

A typical nightmare scenario goes something like this: Robots first replace autoworkers on the assembly line. Then they move into white-collar jobs, writing articles, drafting legal documents and reading X-rays. Finally, the robots, growing ever smarter through machine learning and Big Data, displace even the most highly trained workers. Another scenario: Robots become so intelligent that they not only can beat people in chess and on Jeopardy!, but they also think faster, better and more analytically than any of us. Milind Tambe thinks these dystopian visions, so popular these days, miss the mark.

Google's DeepMind is aiming to help cut the time spent identifying key areas to treat, and avoid, in radiotherapy. Google's DeepMind is partnering with the UK's NHS to explore how machine learning could help doctors treat head and neck cancers. DeepMind, the Google subsidiary that beat a human contestant in the notoriously complex game of Go and is helping cut Google's datacenter costs, will be conducting cancer treatment research at the Radiotherapy Department at University College London Hospitals (UCLH) NHS Foundation Trust. While privacy and regulation will slow the pace of adoption, AI will bring some profound changes to healthcare. As the AI-research unit notes in a blog post, radiotherapy involving sensitive parts of the body, such as the mouth and sinuses, requires careful planning prior to treatment to avoid damaging key nerves and organs.

When it comes to a movie about the skills modern artificial intelligence can possess, it only seems appropriate to have an actual AI machine create a trailer for said film. Kate Mara's upcoming movie, Morgan, follows a corporate risk management consultant who has to decide whether she should kill an artificial intelligent being. To make the best trailer, IBM's Watson computer was consulted and tasked with making the scariest promotional video possible. The question that IBM's team ran into is how do you teach a machine driven by logic, algorithms and math to incorporate concepts like fear. In order to program Watson to understand what fear is, the research team at IBM got Watson to analyze 100 classic horror movies, examining each scene for consistencies and triggers that lead to the scarier aspects of the films.

Whether you believe the buzz about artificial intelligence is merely hype or that the technology represents the future, something undeniable is happening. Researchers are more easily solving decades-long problems like teaching computers to recognize images and understanding speech at a rapid space, and companies like Google goog and Facebook fb are pouring millions of dollars into their own related projects. For one thing, advances in artificial intelligence could eventually lead to unforeseen consequences. University of California at Berkeley professor Stuart Russell is concerned that powerful computers powered by artificial intelligence, or AI, could unintentionally create problems that humans cannot predict. Consider an AI system that's designed to make the best stock trades but has no moral code to keep it from doing something illegal.

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Call it artificial intelligence with a human touch. This week, two California universities separately announced new centers devoted to studying the ways in which AI can help humanity. USC's Viterbi School of Engineering and its School of Social Work said Wednesday that they had joined forces to launch the Center on Artificial Intelligence for Social Solutions. A day earlier, UC Berkeley unveiled its newly minted Center for Human-Compatible Artificial Intelligence. Then on Thursday, a Stanford-led initiative to study the future of artificial intelligence in the next century released a report detailing the effect artificial intelligence could have on urban life by 2030.

Dmitry Malioutov can't say much about what he built. As a research scientist at IBM, Malioutov spends part of his time building machine learning systems that solve difficult problems faced by IBM's corporate clients. One such program was meant for a large insurance corporation. It was a challenging assignment, requiring a sophisticated algorithm. When it came time to describe the results to his client, though, there was a wrinkle. "We couldn't explain the model to them because they didn't have the training in machine learning." In fact, it may not have helped even if they were machine learning experts. That's because the model was an artificial neural network, a program that takes in a given type of data--in this case, the insurance company's customer records--and finds patterns in them. These networks have been in practical use for over half a century, but lately they've seen a resurgence, powering breakthroughs in everything from speech recognition and language translation to Go-playing robots and self-driving cars.

Cancer is a tricky disease to treat. With more than one hundred known types, each responding differently to treatment depending on the person they're growing inside (and dozens of other factors), oncologists certainly have their work cut out for them. Machine learning could soon make their jobs a bit easier. IBM's supercomputer Watson has been applying machine learning to personalized cancer treatment for some time. After pouring over 600,000 medical reports and 1.5 million anonymized patient records and clinical trials, the data should help define the clearest path forward for doctors.

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