An Elon Musk-backed artificial intelligence research group just got a brand new toy from chip maker Nvidia. Nvidia nvda said on Monday that it had donated one of its new supercomputers to the OpenAI non-profit artificial intelligence research project. OpenAI debuted in December with financial backing from Tesla and SpaceX CEO Musk along with money from other high-profile technology luminaries like LinkedIn lnkd co-founder Reid Hoffman and PayPal pypl co-founder Peter Thiel. OpenAI's goal is partly to create a non-profit outside the corporate sector that could research artificial intelligence technologies without a financial incentive. The concern is that many companies like Google and Facebook that are researching artificial intelligence technologies would horde talent and only work on projects beneficial to their financial interests.

This article focuses not what the athletes are putting into their bodies, but what they are putting on their bodies and shows how technology affects gears used by them. An hour long lecture by Demis Hassabis, the CEO of DeepMind, where he discusses what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Here, Margaret Boden, a Professor of cognitive science at the University of Sussex, examines what it means to be "creative" and whether we can ever translate this into our computers. Steven Pinker believes there's some interesting gender psychology at play when it comes to the robopocalypse. Could artificial intelligence become evil or are alpha male scientists just projecting?

In 2014, Google acquired the artificial intelligence startup DeepMind, but it wasn't cheap. With a price tag of 500M, there must have been something special that Google saw in DeepMind that was worth acquiring. While the company hasn't produced any actual products for commercial use, they have focused on machine learning. Machine learning is a type of artificial intelligence that aims to provide computers with the ability to learn new information without being directed to do so. Machine learning involves the development of computer programs that have the ability to teach themselves to grow and alter themselves when presented with new data.

The DGX-1 is a huge advance," OpenAI Research Scientist Ilya Sutskever said. "It will allow us to explore problems that were completely unexplored before, and it will allow us to achieve levels of performance that weren't achievable." OpenAI is a non-profit artificial intelligence research company with a goal "to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. "Artificial intelligence has the potential to be the most positive technology that humans ever create," said OpenAI Chief Technology Officer Greg Brockman. "It has the potential to unlock the solutions to problems that have really plagued us for a very long time."

OpenAI, Elon Musk's artificial intelligence research company, just became the proud owner of the first ever DGX-1 supercomputer. Made by NVIDIA, the rig boasts a whopping 170 teraflops of computing power, equivalent to 250 usual servers -- and OpenAI is gonna use it all to read Reddit comments. OpenAI's researchers gather around the first AI supercomputer in a box, NVIDIA DGX-1. OpenAI is a non-profit AI research company whose purpose is to "advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return." And now, NVIDIA CEO CEO Jen-Hsun Huang just delivered the most powerful tool the company has ever had at its disposal, a US 2 billion supercomputer.

Uber will test its fleet of autonomous cars in Pittsburg. Some guy made a bionic hand out of a coffee machine. This article focuses not what the athletes are putting into their bodies, but what they are putting on their bodies and shows how technology affects gears used by them. An hour long lecture by Demis Hassabis, the CEO of DeepMind, where he discusses what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind. Here, Margaret Boden, a Professor of cognitive science at the University of Sussex, examines what it means to be "creative" and whether we can ever translate this into our computers.

When was the last time you asked your computer something? There's Siri, Google, and Cortana of course, but these systems, clever as they may be, are the thin end of a newly emerging wedge of remarkable new approaches to computer learning and marketing. If you need proof that we are entering a new era of machine learning and artificial intelligence (AI) you need to look no further than Google's DeepMind project. Early this year DeepMind, Google's AI computer, developed initially in London, challenged and beat South Korean Grandmaster Lee Sedol at the ancient game of Go. Why this challenge is so important requires you to think back to the Deep Blue computer, which finally beat Gary Kasparov at chess in the 1990s. Deep Blue had it easy.

I read an interesting article about Google using their DeepMind AI system to improve their power usage efficiency by 15% – which adds up to hundreds of millions of dollars of savings. Of course, DeepMind has been a big investment for Google and finding areas for them to gain efficiency leads to immediate payback – not necessarily covering the entire investment, but savings that add up over time to those hundreds of millions. Like any good organization, I'm sure that Google started with metrics so they had a handle of not just what the costs were, but where the biggest cost impacts were occurring. As the saying goes, "you can't change what you don't measure". However, a lot of organizations get stuck in metrics mode and never get around to the work of actually optimizing – they are are always measuring but never changing.

Reddit is known for many things: lively communities, a dedicated user base, cum boxes, incest. Now, the Elon Musk-and-Peter Thiel-backed nonprofit OpenAI wants to use Reddit's vast array of content as a guide for its new machine learning programs. MIT Technology Review reports that OpenAI has partnered with NVIDIA to use the latter company's new DGX-1 supercomputer to train its deep learning systems both more rapidly and with more data. One way they're going about that, apparently, is by using Reddit, so cross your fingers that the robots don't start spouting abuse and garbage! "One very easy way of always getting our models to work better is to just scale the amount of compute," OpenAI research scientist Andrej Karpathy said in a press release. "So right now, if we're training on, say, a month of conversations on Reddit, we can, instead, train on entire years of conversations of people talking to each other on all of Reddit."