Learn from OpenAI CTO Greg Brockman on how NVIDIA DGX-1 has the power to create impactful AI technologies and achieve unimaginable breakthroughs.

Elon Musk's artificial intelligence (AI) company OpenAI just received a package that took 2 billion to develop: NVIDIA CEO Jen-Hsun Huang just delivered the first DGX-1 supercomputer to the non-profit organization, which is dedicated 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." The "AI supercomputer in a box" is packed with 170 teraflops of computing power--that's equivalent to 250 conventional servers. NVIDIA says it's a very fitting match: "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 added. The supercomputer will tackle the most difficult challenges facing the artificial intelligence industy…by reading through Reddit forums.

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Mustafa was Co-founder and Chief Product Officer of DeepMind Technologies, a leading AI company backed by Founders Fund, Li Ka-Shing, Elon Musk, and David Bonderman amongst others, which was bought by Google in 2014 in their largest European acquisition to date. He is now Head of Applied AI at Google DeepMind, responsible for integrating the company's technology across a wide range of Google products. And he has launched DeepMind Health in an effort to build clinician-led technology in the NHS. At 19, Mustafa dropped out of Oxford University to help set up a telephone counselling service, building it to become one of the largest mental health support services of its kind in the UK. He then worked as a Policy Officer for the Mayor of London Ken Livingstone.

OpenAI, a non-profit research company devoted to advancing artificial intelligence, has become one of the proud owners of a DGX-1, NVIDIA's so-called "supercomputer in a box," a server specifically designed for machine learning work. The system, which was hand-delivered to the company's headquarters in San Francisco by NVIDIA CEO Jen-Hsun Huang, will be used to run some of OpenAI's most computationally challenging applications. More generally, the DGX-1 will be used to support the company's mission, namely 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." The non-profit is being backed by Silicon Valley icons like Elon Musk and Peter Theil, and managed to attract more than a 1 billion worth of funding at the time it was founded in December 2015. The company only expects to spend a tiny fraction of that amount over the next few years.

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Using machine learning for early detection of eye diseases: this is what DeepMind, a division of Google, and London's Moorfields Eye Hospital are planning. The two partners are working on a five-year research project which aims to use algorithms to speed up the process for detecting eye diseases via scans carried out at Moorfields Eye Hospital. Ars Technica looked at the project in more detail. Data science is no longer fantasy but reality. Back in December 2015, we talked about an algorithm that can predict how sugar levels vary from one person to another after a meal.

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.