Due to the recent achievements of artificial neural networks across many different tasks (such as face recognition, object detection and Go), deep learning has become extremely popular. This post aims to be a starting point for those interested in learning more about it. If you already have a basic understanding of linear algebra, calculus, probability and programming: I recommend starting with Stanford's CS231n. The course notes are comprehensive and well-written. The slides for each lesson are also available, and even though the accompanying videos were removed from the official site, re-uploads are quite easy to find online.

At least, that's what Google and so many business and tech journalists said when the search giant first faced antitrust complaints in Europe six years ago. And indeed, Microsoft had filed one of those complaints. It was also the money-weilding mastermind behind the Initiative for a Competitive Online Marketplace, a group that lobbied the European Union and helped others bring complaints against arch-rival Google. But all these years later, Microsoft has removed itself from the fight, reaching an agreement with Google that says both companies will drop all regulatory complaints against each other. And yet, Google's antitrust problems are only getting worse. Yesterday, the European Union announced a new round of antitrust charges against Google, this time pointing the finger at the company's advertising service, some of the most important tech in Google's moneymaking arsenal.

In central London this spring, eight of the world's greatest minds performed on a dimly lit stage in a wood-panelled theatre. An audience of hundreds watched in hushed reverence. This was the closing stretch of the 14-round Candidates' Tournament, to decide who would take on the current chess world champion, Viswanathan Anand, later this year. Each round took a day: one game could last seven or eight hours. Sometimes both players would be hunched over their board together, elbows on table, splayed fingers propping up heads as though to support their craniums against tremendous internal pressure. At times, one player would lean forward while his rival slumped back in an executive leather chair like a bored office worker, staring into space. Then the opponent would make his move, stop his clock, and stand up, wandering around to cast an expert glance over the positions in the other games before stalking upstage to pour himself more coffee.

THE WINOGRAD Schema Challenge is a competition intended to reward technologists who can build a system that understands the kind of ambiguous sentences humans come out with all the time, but which are simple for other humans, even stupid ones, to understand. Get it right 90 per cent of the time and 25,000 is up for grabs. And with things like Apple's Siri, Microsoft's Cortana and Google Assistant, the Winograd Schema Challenge must surely be as good as obsolete by now. The best two entrants at the event this week achieved correct scores only 48 per cent of the time, little better than randomly guessing the meaning of the sentences they were supposed to crack. This is despite a decade of advances in the field of artificial intelligence (AI), which has barely shifted since the late 1950s, according to some.

In just over a week, the smartphone game "Pokemon Go" has become a giant hit, turning millions of people around the world into monster hunters. Given the game's promising start, investors are taking another look at Nintendo Co., whose value has shot up by about 1.5 trillion since "Pokemon Go" was released on July 6 in the United States, Australia and New Zealand. Nintendo had been struggling in recent years as people shifted to playing games on smartphones rather than home or hand-held consoles, and the Kyoto-based game innovator was reluctant to enter the field. But last year, Nintendo finally announced it would jump into the smartphone fray. In that sense, some may wonder whether the early success of "Pokemon Go" is a prelude to Nintendo's return to the top of the video game heap.

Scientists are hoping to use Big Data and machine learning to prevent further outbreaks of Ebola, by identifying the likelihood of various bat species carrying the virus. Ebola is what's known as a filovirus, which are long filament-shaped viruses whose genome is encoded on a single strand of RNA. Ebola is the most famous example, but there are others which are just as deadly, such as the Marburg virus that takes its name from an outbreak in the city of Marburg, Germany, in 1967. Ebola, like Marburg, is spread when people come into direct contact with the bodily fluids of infected persons. The most infamous outbreak of Ebola occurred just two years ago, in West Africa in 2014, where 11,310 people died from the disease, the World Health Organization says.

Coleman's work with low-dimensional nanostructures, as well as Nicolosi's in the field of battery development, bring 2D materials to the fore. Plummeting production costs mean that such 2D materials are emerging with a wide range of applications. Thomas Swann, for example, produces materials in commercial quantities, though the research in Ireland would largely relate to smaller measurements.

Inbenta is a company specialized in Artificial Intelligence and Natural Language Processing which was born in Barcelona and nowadays has presence in 8 different countries (Spain, USA, Chile, Brasil, Mexico, France, The Netherlands and Singapore).

Well I finally got one, but it turned out to be a vacuum cleaner rather than a talking walking friend. In the next 5 years we are going to start to see Robots and Artificial Intelligence (AI) have a big impact on all our working lives. Driverless trucks & cars In the next 5 years we will start to see the first driverless vehicles on our roads. Imagine how this will impact the daily commute. Instead of being stuck behind the wheel you can sit at a table working, watching TV, or even doing your gym workout on a treadmill.

TOKYO--Japanese smartphone-game provider DeNA Co. said Thursday it has set up a company with Preferred Networks Inc., becoming the latest major firm to bet on the startup's artificial-intelligence technology for growth. The joint project might mean Nintendo Co.'s future smartphone games would be powered by the technology, further beefing up the business potential of its popular characters, including Pokémon, for example, which was...