Soldiers are expected to carry heavy packs across rough terrain, sometimes under fire. Now engineers have created a flexible exosuit designed to make their lives slightly easier because it reduces the energy cost of walking when carrying heavy load. The textile suit, using cables and motors, could also be used by hikers and emergency professionals who are first on the scene of an incident. Unlike the exosuits seen in superhero films, engineers at Harvard University used fabric to build their suit. By comparison, rigid exoskeletons are heavier and can interfere with the natural movement of the joints, causing the wearer to change the way they walk.

"The legal industry is ripe for innovation," says attorney and journalist Robert Ambrogi, who covers the role of technology in law. In an influential April 13 blog post, Ambrogi proclaimed a boom in legal tech startups based on a more than doubling of listings on startup directory AngelList. Ambrogi has since produced his own streamlined listing that currently has nearly 500 companies offering technologies to the legal industry. Several are courting attorneys who need better, cheaper ways to sort through the avalanche of legal filings, rulings, and spiderwebs of citations between cases, from the local to federal level. The innovation upsurge may in part be generational.

"We're going to use this technology to breathe life into the inanimate objects and devices of our life through conversation," said Siri co-founder and CEO Dag Kittlaus. Viv (which means "life" in Latin) offers an experience akin to the AI in the film Her. When Kittlaus asked, "Will it be warmer than 70 degrees near the Golden Gate Bridge, after 5 p.m., the day after tomorrow?" Viv quickly retrieved the correct hourly forecast from the Weather Underground app. When I posed the same question to Siri on my iPhone 6S, it pulled up the daily forecast from San Francisco for the next week, but it's unclear if it actually gave me predicted temperatures after 6pm.

Green Running was founded with a mission to use high speed energy data sampling technology and advanced Machine Learning techniques to break energy bills down to appliance level information making unknown energy bills a thing of the past. At these high speeds each appliance has its own unique'energy signature' and we were able to develop a system that recognises these signatures through self-learning Artificial Intelligent algorithms. Installing the eGenius arms you with your own consumption and usage behaviour, which can show you which appliances are consuming the majority of your bill, what a return on investment would be if you were to replace any of those appliances with the latest eco appliances and how your appliances like your fridge of freezer have worn over time. Your usage information is a great tangible asset which companies are willing to buy off you, further offsetting your energy bills. It is all calculated in real time and sent to your smartphone or tablet using our cool app!

Two weeks back, my IBM team helped organize "Take Your Child To Work Day", a day for encouraging children to learn more about the respective careers and companies of their parents. At IBM, we had a unique challenge: explaining the world of IBM Watson. Watson, IBM's prolific computer system that uses natural language, hypothesis generation, and evidence-based learning capabilities to strengthen decision support, remains one of the technology industry's most exciting and complicated applications. With its own business group within IBM as of 2014 and an announced 10 billion in revenue over the next ten years, Watson has powered IBM's brand forward as a force to compete with in the cognitive era. From healthcare to education, Watson is looking to catalyze the way we make decisions everyday.

How did you become interested in artificial intelligence (AI)? I am a documentary filmmaker, writer and speaker. I was making a film around 15 years ago about AI and got to speak to some of the major players in the field, including Ray Kurzweil, the Director of Engineering at Google who started the singularity industry, and Rodney Brookes, the premier roboticist of our time who founded iRobot (a company that created the Roomba vaccum cleaner and robots for military use) and then established a company called Rethink Robotics. Both Kurzweil and Brookes were optimistic about the time when we will share the planet with smarter-than-human machines – and I was too. I was, and still am, a gigantic proponent of AI, despite my book's title Our Final Invention: Artificial Intelligence and the End of the Human Era.

First dates can be a nerve-wracking experience, filled with unease and uncertainty over whether or not the other person is interested. But new technology that could help clear up at least some of the mystery surrounding such dates might be on its way. An'emotion detector' has been created which researchers claim will be able to tell whether or not a person finds you attractive almost instantly. An'emotion detector' concept has been designed that can tell if a person finds you attractive on the first date by measuring skin and heart rate responses and a pupil-dilation measure. Researchers at the University of Lancaster were inspired to make the device by a gadget featured in the 1982 sci-fi fantasy film'Blade Runner'.

This five-fingered robot hand can learn how to perform dexterous manipulation -- like spinning a tube full of coffee beans -- on its own, rather than having humans program its actions.University of Washington Robots today can perform space missions, solve a Rubik's cube, sort hospital medication and even make pancakes. But most can't manage the simple act of grasping a pencil and spinning it around to get a solid grip. Intricate tasks that require dexterous in-hand manipulation -- rolling, pivoting, bending, sensing friction and other things humans do effortlessly with our hands -- have proved notoriously difficult for robots. Now, a University of Washington team of computer scientists and engineers has built a robot hand that can not only perform dexterous manipulation but also learn from its own experience without needing humans to direct it. Their latest results are detailed in a paper to be presented May 17 at the IEEE International Conference on Robotics and Automation.

Robots today can perform space missions, solve a Rubik's cube, sort hospital medication and even make pancakes. But most can't manage the simple act of grasping a pencil and spinning it around to get a solid grip. Intricate tasks that require dexterous in-hand manipulation--rolling, pivoting, bending, sensing friction and other things humans do effortlessly with our hands--have proved notoriously difficult for robots. Now, a University of Washington team of computer science and engineering researchers has built a robot hand that can not only perform dexterous manipulation but also learn from its own experience without needing humans to direct it. Their latest results are detailed in a paper to be presented May 17 at the IEEE International Conference on Robotics and Automation.

At first glance, it looks like Fox and Breitbart began to tank compared to the competition. But Corcoran says not to jump to conclusions. "I wouldn't put this decline down to the content of the sites themselves," the analyst told HuffPost. "In the case of Breitbart, their likes and comments actually increased between June 2015 and March 2016. In the case of Fox, those numbers include all local affiliates to the Fox network, so it's a broad coalition of sites, many of which may be seeing challenges in the way that their content is engaged with in the News Feed."