Imagine if you had a rare, undiagnosed disease that's stumped doctor after doctor. What if there were a single, secure database that could read your symptoms then run through thousands of clinical studies, similar patient records, and medical textbooks to present a risk-matched list of potential diseases? Just one year after its launch, IBM Watson Health is already starting to make this seemingly impossible task a reality, thanks to its powerful cognitive computing platform and a wide-reaching partnership strategy. Watson's vision is to enable better care by surfacing insights from the massive amounts of personal and academic health data that's being generated every day, but IBM ibm needs partners within the medical, pharmaceutical, and hospital fields to make that relevant to on-the-ground practitioners. It's institutions and companies like the Mayo Clinic, CVS Health cvs, and Memorial Sloan Kettering Cancer Center that are adapting the innovative new technology to real-life applications.

Nvidia chief executive Jen-Hsun Huang announced that the company has created a new chip, the Tesla P100, with 15 billion transistors for deep-learning computing. It's the biggest chip ever made, Huang said. Huang made the announcement during his keynote at the GPUTech conference in San Jose, Calif. He unveiled the chip after he said that deep learning artificial intelligence chips have already become the company's fastest-growing business. "We are changing so many things in one project," Huang said.

Nvidia chief executive Jen-Hsun Huang said that deep learning artificial intelligence has become a new computing platform, and the company is dealing with hundreds of startups in the space that plan to take advantage of the platform. Speaking at the GPUTech conference in San Jose, Calif., Huang noted that 5 billion was invested last year in A.I. startups, and there are probably a thousand companies working on the technology for applications ranging from face recognition to self-driving cars. "Deep learning is not an industry," he said. "Deep learning is going to be in every industry. Deep learning is going to be in every application."

The dawn of drones is ushering in a fundamental shift in how we do things--it's affecting everything from lifestyle to privacy, logistics to entertainment. Yet one obvious (but largely untapped) potential use for unmanned aerial vehicles is its capacity to aid emergency services. While not completely unheard of (there have been talks of using drone technology for search and rescue missions or combat poaching), this is the first time that its capability is actually going to be tested. And according to a recent announcement, Rwanda is going to be the first country that will make use of delivery drones to ferry medical supplies around the country. Zipline, a drone startup, is behind the initiative, working in partnership with the Rwandan government.

Nvidia's varied range of GPU developer tools have been spread out into specialized kits, but that's not the case any more. The company has announced the Nvidia SDK unified toolkit, which brings together its game development, supercomputing, virtual reality, automotive and drone and robot development tools into one package. The toolkit brings together essential tools and libraries necessary for GPU development, Jen-Hsun Huang, CEO of Nvidia, said during a keynote at the company's GPU Technology Conference in San Jose, California. The toolkit is tuned for Nvidia's latest Pascal GPU architecture, which the company is expected to detail at the show. Pascal contains many technological improvements that could trigger changes in the way applications are written for GPUs.

Trips to the mechanics can be intimidating and often expensive for those unfamiliar with what's under their car's hood. But vehicles of the future could detect maintenance issues and fix them before they become a problem, potentially putting mechanics out of work. Hyundai is working on a'smart maintenance service' that it claims will'remotely diagnose and fix vehicle issues before they become apparent.' Cars of the future could detect maintenance issues and fix them before they become a problem, potentially putting mechanics out of work. However, no more details have been revealed and MailOnline has asked the firm to clarify.

Sianagh Gallagher of York was born without a left arm, shoulder blade or collarbone -- but that didn't stop her from taking up rock-climbing nine years ago, and becoming the captain of her country's paraclimbing team. "Growing up with my disability never really held me back from doing anything. If anything, I was more determined to get things done and prove myself to people," Gallagher, 19, told Barcroft Media. Gallagher -- Europe's lone paraclimber -- struggled to learn how to tie her shoes and peel an egg, but was at ease working her way to the top of a rock wall. "It was the first time I'd been really good at a sport," she said.

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

Good news: You can buy a car today that will stop itself from crashing, keep itself in lane and even speed up and slow down to match the traffic ahead. Even better news: You don't have to go broke paying for it. Cars with this type of sort-of-self-driving technology now start at about 20,000. It's one of the auto world's most important and least discussed breakthroughs: Cheap starter cars are now being sold with some of the most sophisticated "driver assist" technology on the road. So how do they perform against today's "Autopilot"-enabled luxury cars, like the 130,000 Tesla Model S or 66,000 Volvo XC90?

The numbers are mind-boggling: 11.5 million documents in total, comprising 4.8 million emails, 2.1 million PDFs, 1.1 million images and 320,000 text files. To put it in context, the amount of data in the Panama Papers leak was 2,000 times the amount in the WikiLeaks State Department cables in 2010. Trying to sift through data like this manually would be a Sisyphean task, so technology was required. Enter the little-known Australian company Nuix. The software company has worked with the D.C.-based International Consortium of Investigative Journalists (ICIJ) for over four years, giving them free access to their software that can take huge troves of unstructured data and turn it into an indexed and searchable database.