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

The definition of civility typically revolves around the rules, mores and assumptions for how we deal with each other. The previous talks in this series have focused on that kind of civility in a variety of human activities including sports, education, business and law enforcement. But I'm going to be talking about something that is not human--the increasingly clever computing technology that surrounds us. And how we think about, relate to and interact with this technology. For the title of this talk, I chose the most evocative term, artificial intelligence, or AI for short. It was "cooked up," as its author the mathematician John McCarthy once told me, for a grant proposal he wrote in 1955. He was seeking funds for a conference the following summer at Dartmouth College. It was a brainy marketing pitch.

Whether you believe that the rise of artificial intelligence heralds the fourth industrial revolution or not, you certainly can't deny that it's set to have a major impact on the way we do business. If we are to harness all that potential for the common good, then we need to create strategies that will enable us to benefit while minimizing the risks. One area where AI could have a profound impact is security. The average cost of a data breach is 3.8 million according to the 2015 Cost of Data Breach Study from the Ponemon Institute. No wonder, then, that the enterprise has been heavily investing in cybersecurity.

The robots are coming, and at least some lawmakers in Congress expect them to make a lot of jobs obsolete when they get here. "There are assembly lines where you already look out on a field of robots that can work 24-7, they don't need health insurance, they don't take vacations and they don't get sick," Sen. Dan Coats (R-Ind.) "I think it's coming faster than anybody realizes," he said of the shift to machine workers. Coats and other lawmakers are starting to think about "technological unemployment," or the replacement of workers with self-checkout aisles, driverless vehicles, medical robots and other automations. They have different ideas about how to prepare for the coming workforce overhaul, but most agree that it's going to take new thinking about how people are educated and trained.

We are about to see a black hole for the first time ever, scientists hope. A team of scientists are hope to use a computer algorithm and a range of equipment to take the first ever picture of a black hole's event horizon next year. The picture will be taken by a project called Event Horizon Telescope – a network of nine radio telescopes placed all around the world. From the International Space Station, Expedition 42 Flight Engineer Terry W. Virts took this photograph of the Gulf of Mexico and U.S. Gulf Coast at sunset This image of an area on the surface of Mars, approximately 1.5 by 3 kilometers in size, shows frosted gullies on a south-facing slope within a crater. The image was taken by Nasa's HiRISE camera, which is mounted on its Mars Reconaissance Orbiter The Soyuz TMA-15M rocket launches from the Baikonur Cosmodrome in Kazakhstan on Monday, Nov. 24, 2014, carrying three new astronauts to the International Space Station.

The White House announced a series of public workshops on artificial intelligence (AI) and the creation of an interagency working group to learn more about the benefits and risks of artificial intelligence. The second workshop Artificial Intelligence for Social Good will take place on June 7 at The Willard Intercontinental Hotel, in Washington D.C. From the website, "there has been a dramatically increasing interest in Artificial Intelligence (AI) in recent years. AI has been successfully applied to societal challenge problems, and it has a great potential to provide tremendous social good in the future. In this workshop, we will discuss the successful deployments and the potential use of AI in various topics that are essential for social good, including but not limited to urban computing, health, environmental sustainability, and public welfare." The two keynote talks will be from Lynn Overmann, Senior Policy Advisor at the White House Office of Science and Technology Policy and Eric Horvitz, former CCC Council Member and Technical Fellow & Managing Director at Microsoft Research.

Chip startups come and go. Generally, we cover them because of novel architectures or potential for specific applications. But in some cases, like today, it is for those reasons and because of the people behind an effort to bring a new architecture into a crowded, and ultimately limited, landscape. With 100 million in "patience money" from a few individual investors who believe in the future of sparse matrix-based computing on low-power and reprogrammable devices, Austin-based Knupath, has spent a decade in stealth mode designing and fabricating a custom digital signal processor (DSP) chip to target deep learning training, machine learning-based analytics workloads, and naturally, signal processing. The company, led by famed NASA administrator Dan Goldin, has already fulfilled a 20 million contract for its first generation DSP-based system and has an interesting roadmap ahead, which will include the integration of FPGAs, among other devices.

Daniel Goldin has an impressive resume. The 75-year-old spent over a quarter century in the aerospace industry during the first leg of his career, went on to become the director of NASA and is now returning to the fold as the head of a newly launched startup. KnuEdge Inc., as the outfit is called, hit the scene today with a homegrown processor specifically designed to run machine learning algorithms. Dubbed KNUPATH, the chip sports 256 cores and 16 bidirectional I/O paths that provide 320 Gbs of throughput. It's also well-equipped to run in large environments, with the startup claiming that a single deployment can scale to over half a million nodes while keeping inter-rack latency at around 400 milliseconds.

Batman's suit is fitted with cutting-edge features that helps the caped crusader fight crime. And now a group of California-based researchers have developed an'exosuit' that gives soldiers and the aging population'superhuman' strength. Called Superflex, this wearable uses motion sensors, accelerometers and gyroscopes to read the speed and angles of the owner's legs and adjust its movements accordingly. Agroup of California-based researchers have developed an'exosuit' that gives soldiers and the aging population'superhuman' strength. Called Superflex, this wearable uses motion sensors, accelerometers and gyroscopes to read the speed and angles of the owner's legs and adjust its movements accordingly What makes Superflex worthy of a superhero is that it has onboard sensory that learn the wearer's movements, which is used to turn on the power at the precise moment it is needed.

SAN DIEGO, CA--(Marketwired - Jun 6, 2016) - KnuEdge Inc., a neural technology innovation company that launched today, introduced its KNUPATH LambdaFabric processor technology enabling ground-breaking scalability, latency and workload performance in next-generation data centers. With a fundamentally different architecture than legacy products, KNUPATH can operate alone or be integrated with other devices, and it is available now to both end customers and technology vendors seeking to create data center neural computing capabilities to support advancements in machine learning, IoT and signal processing. "Many of today's CPUs, GPUs and FPGAs force system designers to either create workarounds with last-generation chip sets or reduce their requirements for advanced-compute projects," said Dan Goldin, Founder and CEO of KnuEdge. "After ten years of stealth development and rigorous testing, LambdaFabric enters the market as mature technology which enables system designers to meet the most demanding requirements now, and also helps them rethink what is possible with neural computing in the future." As evidenced by recent announcements such as Google's Tensor Processing Unit, there is increasing industry interest in targeted processor acceleration for machine learning and other growing workloads. KNUPATH LambdaFabric is inherently designed to scale up to 512,000 devices and beyond, and offers rack-to-rack latency of only 400 nanoseconds, approaching half the latency of existing high speed interconnects.