I covered the Shane Legg talk on Algorithmic Intelligence Quotient back in 2010. I am revisiting it with a video of the talk and a paper on it. It is important because Shane Legg works in Deepmind and it is how they guided improvement in their algorithms. Measuring universal intelligence: Towards an anytime intelligence test” …
MIT biological engineers have created a new computer model that allows them to design the most complex three-dimensional DNA shapes ever produced, including rings, bowls, and geometric structures such as icosahedrons that resemble viral particles. This design program could allow researchers to build DNA scaffolds to anchor arrays of proteins and light-sensitive molecules called chromophores …
Graduate Summer School: Deep Learning, Feature Learning “Deep Learning, Self-Taught Learning and Unsupervised Feature Learning (Part 1 Slides1-68; Part 2 Slides 69-109)” Recent Developments in Deep Learning by Geoff Hinton Geoff Hinton presents as part of the UBC Department of Computer Science’s Distinguished Lecture Series, May 30, 2013. Professor Hinton was awarded the 2011 Herzberg …
Demis Hassibis gives an overview of the field of Artificial Intelligence and why he chose his Deepmind approach. His view is that whole brain emulation will take too long. Other AI approaches have been too brittle. He wants to focus on copying the algorithms of the brain. Brian WangBrian Wang is a Futurist Thought Leader …
Onstage at TED2014, Charlie Rose interviews Google CEO Larry Page about his far-off vision for Google. It includes aerial bikeways and internet balloons … and then it gets even more interesting, as Page talks through the company’s recent acquisition of Deep Mind, an AI that is learning some surprising things. Page points out we need …
Global oil supply inched up by 35 kb/d in October to 94.2 mb/d. Compared with one year ago, total supply was 2.7 mb/d higher as higher OPEC production added to non-OPEC supply growth of 1.8 mb/d. Non-OPEC production growth is forecast to ease to 1.3 mb/d for 2015 from this year’s 1.8 mb/d high. Global …
The main point of Google DeepMind’s AI, says Hassabis, is to create computers that can “solve any problem”. “AI has huge potential to be amazing for humanity”, he mentions in the Technology Review interview. Accelerating the way we combat disease is one idea. Using trial and error, Deep Mind systems became better than humans at …
Demis Hassabis leads what is now called Google DeepMind. It is still headquartered in London and still has “solve intelligence” as its mission statement. Roughly 75 people strong at the time it joined Google, Hassabis has said he aimed to hire around 50 more. Around 75 percent of the group works on fundamental research. The …
3 million kilometers is a long journey. Google project Loon ballons have travelled 3 million kilometers through the stratosphere since the project began last year. The Google Plus Project Loon page has more up to date information than the main Google Project Loon website. In that time we’ve learned a great deal about what it …
Using a new algorithm, Stanford engineers can design and build a prism-like silicon structure that can bend light at right angles. The goal is to transmit data faster and more efficiently via optical rather than electrical signals. The optical link is a tiny slice of silicon etched with a pattern that resembles a bar code. …
Stanford engineers have invented a revolutionary coating material that can help cool buildings, even on sunny days, by radiating heat away from the buildings and sending it directly into space. Previous systems could not also reflect sunlight, so they didn’t cool off during the day. Covering an entire roof with the material should eliminate the …