Examples of the machine's forecasts of actions before they begin (starting at left) and the results (at right). Examples of the machine's forecasts of actions before they begin (starting at left) and the results (at right). You watch hundreds of hours of television, they call you a lazy slob. A computer does it, and it's a technological success story. That is the case for a new algorithm from MIT's Computer Science and Artificial Intelligence Laboratory.

Pokemon Go has been a huge boon for both Nintendo and the Pokemon Company, which holds the rights for the animated franchise. Lesser known is that the game is actually being produced by Niantic Labs, a San Francisco-based startup that was incorporated as a Google subsidiary in 2011 and spun out of the company last year when Google reorganized under the Alphabet moniker. Niantic is being funded by Google, Nintendo and the Pokemon company as well as Fuji TV and a few other high-profile investors. Niantic's team includes some key members of Google's former Maps team. While at Google, Niantic first built Field Trip, an app that would notify users of murals, historic buildings and other interesting places around them while walking through a city -- think of it as a kind of city guide for mobile devices that sends out alerts whenever you walk by something noteworthy.

DESCRIPTION Do you want to be part of a startup team at Amazon that is going to make history? Are you interested in building engaging community experiences on Amazon.com and on mobile devices? Do you want to build things that millions of people will use? We are looking for a great Scientist to lead an effort out of Berlin (while partnering with a US team) centered around customer interactions. The opportunity is big - millions of Amazon customers contribute their opinions, answer questions, and share their experiences.

Language is becoming the new main user interface (UI) layer in an increasingly rich ecosystem of conversations that includes people to people, people to their personal digital assistant, people to bots and in the future – even personal digital assistant to bot! Microsoft also recently announced that it would be making its bot framework available to all. This adds weight to its belief that new technologies should be available to everyone, regardless of their circumstances. Dr Hon finds this incredibly meaningful, as anyone, not just the wealthy, can have their own personal assistant to make their lives more productive. It was a meeting of minds between Buck Song, an advocate of smart, sustainable cities, and Dr. Hon, a believer in the industrial application of Big Data. Dr. Hon has been with Microsoft since 1995, joining Microsoft Research Asia in 2004.

David Hanson and I share a similar background in media, art and design. Where we are different is in our focus: I designed "Primo Posthuman" as a future body prototype for exploring theoretical ideas regarding regenerative media, nanorobots and AGI. Alternatively, David is actually building humanoid robots -- including the Robokind commercial robot humanoid, and a variety of extremely realistic robot heads, incorporating unprecedentedly realistic facial expressions and voice. This interview covers some of David's work in this area, including its exciting broader implications. Along with the Robokind, Hanson's celebrated robots have included the Philip K. Dick Android, the walking Einstein portrait Albert-Hubo (in collaboration with KAIST, and pictured below), and Bina48 (to be discussed below). Hanson has received awards from NASA, NSF, AAAI, Tech Titans' Innovator of the Year, and Cooper Hewitt Design.

The era of artificial intelligence means machines could conceivably be better than fund managers at investing clients' money. It may also level the playing field between large and small firms, finds Kit Klarenberg. Last year, mainstream commentators declared the era of artificial intelligence (AI) had arrived. Major investments in AI were announced by Facebook, Google and Microsoft, with the promise of ground-breaking consumer applications to follow. Financial professionals may have wondered what the fuss was all about.

BEIJING--An auto startup backed by internet giant Tencent Holdings Ltd. TCEHY 0.52 % plans to start selling premium electric cars globally by 2020, joining other Chinese car makers in taking aim at an increasingly crowded luxury market. Four month-old Future Mobility Corp. seeks eventually to sell several hundred thousand fully electric, highly automated, China-built vehicles a year. The company is also backed by Chinese luxury-car dealer Harmony New Energy Auto and Foxconn Technology Group, 2354 1.89 % which assembles iPhones for Apple Inc. AAPL 0.31 % Apple has been working on its own autonomous electric car. Deep-pocketed tech companies have backed a wave of new auto companies in China, where a drive to cut fuel consumption and pioneer the auto industry of the future has encouraged startups. Analysts, citing increasing competition and uncertainty over a subsidy-fueled boom in electric vehicles, question how such ambitions can be turned into reality.

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

AI and machine learning changes the software paradigm computers have been based on for many decades. In the traditional computing domain, providing an input, we feed it into an algorithm to produce the desired output. This is the rule-based framework the majority of the systems around us still work with. We set up our thermostat to a desire temperature (input) and a rule based programming (algorithm) will take care of reading a sensor and activating heating or AC machines to get to the room temperature we want (output). The industry has been working relentlessly for many years developing better hardware, software and apps to solve a gazillion problems and use cases around us with programmable solutions.

With the rapid pace of technological innovation, the need for greater market responsiveness, and the rising cost of labor in nearly all economies, many companies are revisiting age-old manufacturing strategies. They recognize there is a growing need to introduce innovative products faster to meet customer demands while maintaining aggressive cost and quality objectives. Traditional manufacturing approaches can no longer keep pace with this dynamic new consumer-driven age. Meeting these demands will instead require a complete reinvention to how we approach manufacturing, and this reinvention will need to unfold on a scale that amounts to a new industrial revolution. Welcome to the era of digital manufacturing, which can be defined simply as the growing application and impact of digital connectivity linking automation, workers and decision-makers.