Large Language Model
Next Time You Wonder What Your Customer Is Thinking, Ask Your Computer - Brand Quarterly
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.
Cost-Benefits of Efficiency - Nitrosphere
I read an interesting article about Google using their DeepMind AI system to improve their power usage efficiency by 15% โ 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 โ 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 โ they are are always measuring but never changing.
Elon Musk's OpenAI Wants to Teach Robots to Speak Like Redditors
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."
Elon Musk's OpenAI is Using Reddit to Teach An Artificial Intelligence How to Speak
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 industyโฆby reading through Reddit forums.
Mustafa Suleyman
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.
NVIDIA Delivers DGX-1 "Supercomputer in a Box" to OpenAI
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.
Econocom
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.