IBM is currently attempting to merge artificial intelligence and the blockchain into a single, powerful prototype. With blockchain tech's promise of near-frictionless value exchange and artificial intelligence's ability to accelerate the analysis of massive amounts of data, the joining of the two could mark the beginning of an entirely new paradigm. Over the past three months, IBM's chief architect in charge of Internet of Things security Tim Hahn has focused specifically on introducing the blockchain to his company's artificially intelligent computer named Watson. "What we're doing with blockchain and devices is enabling the information those devices supply to effect the blockchain…You begin to approach the kind of things we see in movies." Potential applications include using distributed ledgers to perform tasks like running self-diagnoses at set times to more advanced services that may someday let regulators virtually go back in time to the point where a device failed and "to identify exactly what went wrong," Hahn said.

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.

A new drug to treat cancer. Even in its early stages, deep learning is having a tremendous impact and is sweeping across every industry. Some of the world's most important challenges need to be solved today, but require tremendous amounts of computing to become reality. Today's large-scale data center relies on many interconnected commodity compute nodes, limiting the performance needed to drive these important workloads. Now, more than ever, the data center must prepare for the high-performance computing and hyperscale workloads being thrust upon it.

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.

Hyundai is working on a new connected car it calls a "high-performing computer on wheels" that will tap big data and analytics for proactive service and constant connection. The company will collaborate with leading global IT and networking companies to develop a self-driving "hyperconnected and intelligent car," it announced Tuesday, with a focus on connecting it to other cars, the office, and the home. Four key areas will help the new cars make the most of data. A smart remote maintenance service, for example, will remotely diagnose and fix vehicle issues before they become apparent, Hyundai said. Autonomous-driving capabilities will be another key element, as will what Hyundai calls "smart traffic" features to help reduce congestion and make trips quicker.

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.

Intel has its eyes on making self-driving cars, robots and industrial equipment safer with a new acquisition. The chip maker has acquired Italian company Yogitech, which provides circuits and software tools for IoT devices to automate decision-making based on data patterns. Intel declined to comment how much it paid to buy the company. Intel will put Yogitech's technology to work in its IoT products, with an emphasis on safety for automated devices. The technology is designed to keep circuits functional and prevent device failure.

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