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

Machine learning has made a significant practical impact in a vast array of disciplines, ranging from healthcare to defense to finance. This presentation will be focused on healthcare and will describe how machine learning techniques may be applied to improve patient outcomes in three different clinical applications, including: the reduction of false cardiac arrhythmia alarms in the intensive care unit (ICU), the prediction of acute hypotensive episodes in the ICU, and the automated classification of heart sounds using phonocardiography. Each of these research topics presents its own unique challenges that influence the selection of optimal machine learning algorithms. Machine learning techniques have been shown to enhance patient outcomes in not only these three applications, but also in a wide variety of additional clinical scenarios. The results underscore the value of data in making more informed patient care decisions and also help to demonstrate the wide applicability of machine learning algorithms.

Disease risk estimates can be used as prognostic information and support for treating CVDs. The commonly used Framingham risk score (FRS) for CVD prediction is outdated for the modern population, so FRS may not be accurate enough. In this paper, a novel CVD prediction system based on machine learning is proposed. Methods: This study has been conducted with the data of 689 patients showing symptoms of CVD. Furthermore, the dataset of 5,209 CVD patients of the famous Framingham study has been used for validation purposes.

As a Stanford student, Zeshan Hussain found many ways to take part in public service projects near and far – on campus, at a high school on the other side of San Francisco Bay and at a tropical disease hospital in India. In January 2016, along with other members of the Muslim Student Union (MSU) and other student groups, Hussain helped organize Syrian Refugee Awareness Week, which included a teach-in about the crisis, a benefit dinner to raise funds for the charity United Muslim Relief and a clothing collection drive in student residence halls. The organization brought in Sana Khatib, a Syrian-American activist whose father is a former political prisoner and whose family fled Syria and the Assad regime when she was young. Through a clothing drive the MSU also collected 500 pounds of clothing just on campus from students and faculty, an accomplishment Hussain described as "very heartening." "We wanted to raise awareness about the crisis and its history, and about the personal struggles of students who may be refugees, or students who have families that are refugees," he said.

For those suffering depression, PTSD, or other mental health challenges, a breakdown can be a slow burn, developing over days or weeks in between doctor visits. Delay in treatment can have lasting consequences. "Very likely, every single episode of depression or mania is going to damage your brain a little more," says Thilo Deckersbach, a Harvard psychology professor who practices at Massachusetts General Hospital. The hospital's online MoodNetwork recruits patients with major depression and bipolar disorder for clinical studies, including a new one with the Boston-based artificial intelligence company Cogito. They are testing the ability of a mobile app called "Companion" to flag early signs of trouble by monitoring activities like patients' movement, calling and texting behavior, and the way they speak.

"Mellanox's smart Switch-IB 2 switches enable the University of Tokyo to leverage new in-network computing capabilities, allowing data algorithms to be managed and executed by the network devices," said Gilad Shainer, vice president, marketing at Mellanox Technologies. "EDR 100G InfiniBand offers world-leading performance, scalability and efficiency enabling the University of Tokyo to be at the forefront of research, and scientific discovery." "We are pleased to have installed Mellanox's InfiniBand high-performance solutions to drive our new integrated supercomputer system," said Professor Hiroshi Nakamura, Director of the Information Technology Center, The University of Tokyo. "Our new system is key to advancing ongoing research and expanding the exciting work being carried out that is leveraging computational science and engineering, computer science, data analysis, and machine learning." Mellanox InfiniBand adapters provide the highest performing interconnect solution for High-Performance Computing, Enterprise Data Centers, Web 2.0, Cloud Computing, and embedded environments.

Researchers from the Michigan State University are using GPU-powered artificial intelligence and fingerprints to help keep kids healthy. Many children living in developing countries lack any form of identification, making it hard to know what babies have received which vaccine or booster shot. "We want to make sure there's complete coverage, that every child is given the right vaccinations," research lead Prof. Anil Jain says. "With fingerprint-based health records, we can track this." Apart from keeping track of vaccination shots, fingerprint scans can also help authorities identify missing children or resolve cases in which newborns are swapped at birth.

Note the similarities between this business model and an online supermarket (online retailers). Discounting other factors, such as distribution logistics and differences in regulations, the fundamentals are the same: a commoditised online offering with no'human touch' at the point of sale. Even consumer demographics are similar – young, tech-savvy professionals, looking for cheaper, easy-to-use and anytime/anywhere self-service options. Online supermarkets use extensive segmentation analysis and branding to acquire and retain customers. A seamless integration of data, analytics and technology enables a personalised shopping experience.

There's a high-stakes race under way in Silicon Valley to develop software that makes it easy to weave artificial intelligence technology into almost everything, and Google has sprinted into the lead. Google computer scientists including Jeff Dean and Greg Corrado built software called TensorFlow, which simplifies the programming of key systems that underpin artificial intelligence. That helps Google make its products smarter and more responsive. It's important for other companies too because the software makes it dramatically easier to create computer programs that learn and improve automatically. What's more, Google gives it away.

For more than a decade, Silicon Valley's technology investors and entrepreneurs obsessed over social media and mobile apps that helped people find new friends, get a lift home or crowdsource a review of a product or a movie. Now Silicon Valley has found its next shiny new thing. The new era in Silicon Valley centres on artificial intelligence (AI) and robots, a transformation many believe will have a payoff on the scale of the personal computing industry or the commercial internet. Computers have begun to speak, listen and see, as well as sprout legs, wings and wheels to move unfettered. The shift was evident in a Lowe's home improvement store this month, when a prototype inventory checker developed by Bossa Nova Robotics silently glided through the aisles using computer vision to perform a task humans have done manually for centuries. The robot, which was skilled enough to autonomously move out of the way of shoppers, alerted people to its presence with soft birdsong chirps.