The world's leading non-profit artificial intelligence research team needs the world's fastest AI system. "I thought it was incredibly appropriate that the world's first supercomputer dedicated to artificial intelligence would go to the laboratory that was dedicated to open artificial intelligence," Huang said. OpenAI's researchers will put the first production DGX-1 -- packing 170 teraflops of computing power, equal to 250 conventional servers -- to work on artificial intelligence's toughest problems. OpenAI's team is working at the cutting-edge of a field that promises incredible advances. Imagine artificial personal assistants that can coordinate our digital lives and autonomous cars and robots that are accessible to everyone.

Just recently, DeepMind's AlphaGo won a series of Go matches against a top-level human opponent. This victory has caused a mix of excitement and consternation. Are we seeing another case of a bigger and faster machine pushing the edge of performance, or are we perhaps approaching a fundamental crisis of "cognitive competition?" To answer this questions, we look at the succession of game-playing computers, and then explore the rise of "model-free methods" and what it foretells for our future. We have become used to the idea that purpose-built machines can surpass humans in almost any physical task.

Google's DeepMind division has announced a partnership with the NHS's Moorfields Eye Hospital to apply machine learning to spot common eye diseases earlier. The five-year research project will draw on one million anonymous eye scans which are held on Moorfields' patient database, with the aim to speed up the complex and time-consuming process of analysing eye scans. The hope is that this will allow diagnoses of common causes of sight loss, like diabetic retinopathy and age-related macular degeneration, to be spotted more rapidly and hence be treated more effectively. For example, Google says that up to 98 percent of sight loss resulting from diabetes can be prevented by early detection and treatment. Two million people are already living with sight loss in the UK, of whom around 360,000 are registered as blind or partially-sighted.

Most presidential campaigns spend their time and money appealing to people who vote regularly in elections. According to a Trump campaign memo obtained by FiveThirtyEight, the campaign pursued a highly unorthodox strategy of courting unlikely voters during the primaries, focusing on people who rarely participate in GOP primary elections. The campaign relied on free media, including Trump's frequent TV appearances, to turn out regular voters, according to the memo. But survey and voter data shows that Trump won the Republican nomination thanks in large part to Republicans who typically vote in general elections, not by bringing people entirely disconnected from the electoral process to the polls. As Trump heads into the general election, the campaign's thinking during the primaries, and the ad-hoc process by which it built an operation to target and reach out to voters using data, may offer clues about how it will approach voter turnout in the fall.

The article delves into Google's DeepMind project, an object of renewed curiosity after its AlphaGo software bested the human world champion of the ancient game Go in Marc… Read More Google has cut power usage at its data centers by several percentage points by putting a DeepMind AI system in control of computer servers and related equipment like cooling systems. Google has created artificial intelligence that's able to save the amount … Google is making use of the technology from its DeepMind artificial intelligence (AI) company to save on power consumed by its data centres. Google's parent company Alphabet recently put a DeepMind AI system in parts of its data centres. Cloud technology also figures in crucial businesses like Office 365. In contrast, Google Cloud Platform does not even figure … the head of applied artificial intelligence at the company's DeepMind subsidiary, said the techniques could be used at … Google's DeepMind AI technology has helped the company reduce the energy used in its data center cooling by 40 percent.

Google acquired DeepMind in 2014 to apply machine learning and artificial intelligence in applications that could change human lives. DeepMind just announced a medical research project with an NHS Trust to combat sight loss specifically related to Diabetes and Age-related Macular Degeneration (AMD). Diabetes is on the rise. It's estimated that 1 in 11 of the world's adult population are affected. It's also the leading cause of blindness in the working age population – if you're diabetic you are 25 times more likely to suffer some kind of sight loss.

Google's DeepMind has reduced its power consumption thanks to artificial intelligence Google is using the firm's artificial intelligence system to control parts of its data centers, DeepMind cofounder Demis Hassabis told Bloomberg on Tuesday. DeepMind, which Google acquired in 2014, is using its AI engine to change how data center servers and cooling systems work to reduce power consumption. The company didn't say how much it's saving Google. Hassabis tipped a 15 percent improvement in power efficiency since Google launched the program this year, which he said is a "huge savings in terms of cost." The average electricity price in the US can range from 25 to 40 per megawatt hour, according to the U.S. Energy Information Administration.

I mean the Alphabet with a capital "A". It is the parent company of Google, and was created in October 2015 in a huge overhaul of the Californian tech giant. Google is now just one letter of this Alphabet, with other divisions and projects not part of Google's core products spun out into separate "Alphabet companies," each with their own CEO. Alphabet gives its CEO Larry Page and the senior leadership significantly more freedom to chase exciting projects and acquisitions -- regardless of how they fit into Google's mission "to organise the world's information and make it universally accessible and useful." As of July 2016, there are 11 confirmed Alphabet companies -- with another, the Self-Driving Car Project, reportedly becoming one this year (Google declined to confirm or deny this). Recent additions include DeepMind, a London artificial intelligence startup which previously sat under Google, but has now been spun out; and Jigsaw, previously called Google Ideas, which acts as a kind of think tank.

Inside a secretive AI nonprofit backed by Elon Musk and other Silicon Valley figures, a handful of robots designed to help out in warehouses are gradually learning how to do useful household chores. OpenAI, which was created to do basic AI research, is reprogramming robots developed by Fetch Robotics, a company that supplies warehouse automation hardware. Researchers at OpenAI are equipping the robots with software that lets them train themselves through trial and error. The effort reflects a bet that innovations in software and machine learning, rather than breakthroughs in hardware, are the way to give robotics remarkable new capabilities. Fetch makes a range of robots for warehouses, including systems that follow workers around a building, carrying items dropped into a basket.

So, DeepMind's basic approach can be quickly and effectively adapted to the temperature of air currents around a data center, and the flow of heat through air vents -- what else could it improve? The flow of air through physical space is far better understood than, say, the flow of shipments through major ports, or of bee populations across a continent, or of students through university programs. We should expect that assigning a sufficiently insightful AI to find and eliminate inefficiencies in cargo routing, or field-pollinating, or graduate-producing, will produce more than a few percentage points of progress. The need for warehouse managers, public agricultural engineers, and academic advisers is about to plummet right alongside the more traditionally threatened sectors like customer service and manufacturing.