From gene mapping to space exploration, humanity continues to generate ever-larger sets of data -- far more information than people can actually process, manage, or understand. Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful of these analytical tools are based on a strange branch of geometry called topology, which deals with properties that stay the same even when something is bent and stretched every which way. Such topological systems are especially useful for analyzing the connections in complex networks, such as the internal wiring of the brain, the U.S. power grid, or the global interconnections of the Internet. But even with the most powerful modern supercomputers, such problems remain daunting and impractical to solve.

The folks over at x.ai – creators of Amy, the artificial intelligence answer to scheduling meetings – have had a shot at showing exactly what it looks like inside their bot's brain, using AI, of course. The team used a powerful deep-learning model, a Recurrent Neural Network (RNN), to trawl 500,000 words in its database, looking at their sequence in a sentence to understand what they mean, then predicting how to categorize them. Get your company on stage at TNW Europe. Without a human ever telling the RNN the definitions of different word groups, it has managed to understand that Stanford is different from Instagram, and that Jesse, Luke and Jason are names. This data was cut to down to the 3,500 most frequently used words and has then been projected into a 2D shape in order to show the relationships the AI has made between different words.

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

One of the biggest issues in the presidential race is voter anger over lost middle-income jobs, real and perceived damage from trade deals, and rising inequality. But none of the candidates is talking about the elephant pushing its way into the room: a new wave of job-eating information technology, advanced automation, robots and artificial intelligence. The elites have been discussing what's coming for some time, notably a 2014 speech by Eric Schmidt, the executive chairman of Google's parent Alphabet. Huge numbers of middle-class jobs were going to be automated, and few new positions would replace them. He called it the "defining" issue of the next two or three decades. A study from the previous year by Carl Benedikt Frey and Michael Osborne examined the vulnerability of more than 700 occupations.

On Wednesday, when Microsoft had a much rosier view of humanity than it does now, the software giant released a "Millennial chatbot" to Twitter named Tay. She was supposed to mimic 18-to-24-year-olds, learn from her interactions, and develop a personality like her peers over time. This went exactly how you would've expected it to. Like most 19-year-olds on Twitter for 24 hours with no supervision, Tay had become a white supremacist Holocaust denier who believes that "Ted Cruz is the Cuban Hitler." Microsoft had to take the thing behind the server racks and shoot it Thursday morning.

This Holy Week, Christians worldwide are celebrating the life, death, and resurrection of Jesus Christ, whom they believe is fully man and fully God. It's a conviction that appears to flout logic but, amazingly, is wholly in line with the revelations of modern science. Scientists used to believe that waves and particles were opposite phenomena, each obeying a different set of rules. A stone, for instance, is particle-like; its shape and size remain the same whether it exists in outer space, water, or molasses. By contrast, ripples are wave-like; their shape and size depend critically on the medium through which they move.

Sure, most of us only have to deal with it once in a while, but for CNN foreign correspondent Will Ripley it's a frequent foe. "Blackout curtains and melatonin" are a must according to Ripley. "I take a lot of vitamins. You're staying in different hotels, you're eating different foods; you want to make sure that you stay healthy and have stamina for working around the clock." Since becoming the American cable news network's Tokyo bureau chief in March 2014, the 35-year-old Connecticut native has been sent to the Middle East twice, China around a dozen times and North Korea seven times.

A neural-analogue calculator based upon a probability model of reinforcement.

LONDON, UK – March 17, 2016 – Massive Analytic Limited, an Artificial Intelligence pioneer, has been awarded a contract with the Ministry of Defence (MOD) through the Defence Science and Technology Laboratory's Centre for Defence Enterprise (CDE) to develop technologies for "autonomy and big data in defence". The contract was won as part of the largest ever competition run by CDE. It called for a proof-of-concept research proposal for innovative component technologies and techniques to acquire, process, analyse and visualise data to support decision making by both humans and autonomous systems. In its winning submission, Massive Analytic proposed a novel big data analytics platform for operational tactical planning and support, using persistent surveillance and its own patented artificial precognition, the brain behind its analytics platform, Oscar. The system will bring together multiple static and dynamic surveillance data sources, outputting predictions with high degrees of accuracy.

This week, Amazon hosted an exclusive conference that brought together big names from fields such as space exploration, robotics, and artificial intelligence. The event, which was held at the Parker Palm Springs Resort in California, was invite-only and received almost no publicity. Very little is known about the Machine-Learning Automation, Robotics, and Space Exploration (MARS) conference, which is leading some observers to question why Amazon is being so secretive about it. In fact, Amazon has yet to confirm that it even took place, and there have been no press releases or official announcements. However, several guests have shared tidbits about the event on social media.