Lifeboat Foundation

Me and one of my friends on LinkedIn both knew it was only a matter of time that AI & Quantum together would be announced. And, Google with D-Wave indeed would be leading this charge. BTW — once this pairing of technologies is done; get ready for some amazing AI technology including robotics to come out.

But there may not be any competitors for a while if Google’s “Ace of Spades” newbie performs as they predict. According to Hartmut Neven, head of its Quantum Al Lab, this baby can run:

“We found that for problem instances involving nearly 1,000 binary variables, quantum annealing significantly outperforms its classical counterpart, simulated annealing. It is more than 10 to the power of 8 times faster than simulated annealing running on a single core.”

Continue reading “Google’s AI Technology Will Transform Life As We Know It” »

Carnegie Mellon University is embarking on a five-year, $12 million research effort to reverse-engineer the brain and “make computers think more like humans,” funded by the U.S. Intelligence Advanced Research Projects Activity (IARPA). The research is led by Tai Sing Lee, a professor in the Computer Science Department and the Center for the Neural Basis of Cognition (CNBC).

The research effort, through IARPA’s Machine Intelligence from Cortical Networks (MICrONS) research program, is part of the U.S. BRAIN Initiative to revolutionize the understanding of the human brain.

Continue reading “CMU announces research project to reverse-engineer brain algorithms, funded by IARPA” »

Bon Appétit — could 3D Printers be coming to make your next 1st Class Meal on a flight, or in resturants with robot servers? The US Army believes it is the new way for them.

Beats the heck out of MREs.

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As I said this morning; there is something definitely going with Quantum today. Maybe it’s the planet alignment (I saw there was something going on with the alignment with Aquaris today) — this is awesome news.

Rigetti Computing is working on designs for quantum-powered chips to perform previously impossible feats that advance chemistry and machine learning.

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“Full exploitation of this information is a major challenge,” officials with the Defense Advanced Research Projects Agency (DARPA) wrote in a 2009 brief on “deep learning.”

“Human observation and analysis of [intelligence, surveillance and reconnaissance] assets is essential, but the training of humans is both expensive and time-consuming. Human performance also varies due to individuals’ capabilities and training, fatigue, boredom, and human attentional capacity.”

Working with a team of researchers at MIT, DARPA is hoping to take all of that human know-how and shrink it down into processing unit no bigger than your cellphone, using a microchip known as “Eyeriss.” The concept relies on “neural networks;” computerized memory networks based on the workings of the human brain.

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MIT researchers have presented the Eyeriss chips that have 10 times more power than mobile GPUs and use deep learning for local AI functions.

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We can safely say that the position as a make up artist is safe from AI for now.

A mini factory-style robot arm tries its mechanical hand at applying makeup. The results aren’t pretty.

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More news on DARPA’s new deep learning microchip for the military.

A military-funded breakthrough in microchips opens the door to portable deep learning.

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Good article and perspective. And, I believe areas like Finance and Legal will be addressed over the next 5 to 7 years with AI. However, much of our critical needs are in healthcare particularly medical technology and Infrastructure (including security); and these need to get upgraded and improved now.

I recently read a thought provoking article by Klaus Schwab, called ‘The Fourth Industrial Revolution: what it means, how to respond’. At the beginning of the article Schwab describes the first three industrial revolutions, which I think we’re all fairly familiar with:

1784 – steam, water and mechanical production equipment.

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