Lifeboat Foundation

Great move to my friends at D-Wave! Nice.

BUDAPEST, HUNGARY—(Marketwired — May 10, 2016) — D-Wave Systems Inc., the world’s first quantum computing company, 1QB Information Technologies Inc. (1QBit), a quantum software firm, and financial industry experts today announced the launch of Quantum for Quants (quantumforquants.org), an online community designed specifically for quantitative analysts and other experts focused on complex problems in finance. Launched at the Global Derivatives Trading & Risk Management conference in Budapest, the online community will allow quantitative finance and quantum computing professionals to share ideas and insights regarding quantum technology and to explore its application to the finance industry. Through this community, finance industry experts will also be granted access to quantum computing software tools, simulators, and other resources and expertise to explore the best ways to tackle the most difficult computational problems in finance using entirely new techniques.

“Quantum computers enable us to use the laws of physics to solve intractable mathematical problems,” said Marcos de López de Prado, Senior Managing Director at Guggenheim Partners and a Research Fellow at Lawrence Berkeley National Laboratory’s Computational Research Division. “This is the beginning of a new era, and it will change the job of the mathematician and computer scientist in the years to come.”

Experts in finance, mathematics, computer science and physics have agreed to participate as editors and content contributors of the community, including:

Continue reading “D-Wave Systems and 1QBit Partner With Financial Industry Experts to Launch Quantum for Quants Online Community” »

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I wonder if this would qualify as a turing test.

Lalith Polepeddi, a (human) teaching assistant and researcher on the Jill Watson project at the Georgia Institute of Technology.

Photo:
Lalith Polepeddi.

Continue reading “Imagine Discovering That Your Teaching Assistant Really Is a Robot” »

Great article about a mad-scientist whose vision caused the world to look cross-eyed. Many of us have been there before some time in our lives.

In 1981, Richard Feynman urged the world to build a quantum computer. In his own words.

“Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d better make it quantum mechanical, and by golly it’s a wonderful problem, because it doesn’t look so easy.”

Continue reading “The Quantum Experience: Feynman’s vision comes into focus” »

It would take human volunteers 120,000 years to classify every galactic image that comes through a new space telescope. That’s where computers come in.

I personally can confirm that QC is not being worked on and advance by just a couple groups such as D-Wave and IBM. The questions/bumps in the road that we will all face is threefold:

1) how do we standardize the QC? right now (like most innovation) is done in siloes and limited cross-collaboration across government, labs & universities, and commercial companies. 2) governance and compliance; how will these need to change across multiple areas 3) id & mitigate all impacts instead of after deployment (don’t be reactive) because we will not have that luxury due to hackers.

There is a temptation to lump quantum computing in with technologies such as fusion power in the sense that both have been proposed for decades with the promise of tremendous leaps in performance.

Continue reading “Researchers Making Progress With Quantum Computing” »

I know that I reported on this a few weeks ago; however, this article shares some additional insights on how this new method will enable more efficient smaller devices including promoting stabilization in Quantum Computing (QC)…

A multi-institutional team of researchers has discovered novel magnetic behavior on the surface of a specialized material that holds promise for smaller, more efficient devices and other advanced technology.

Researchers at the Department of Energy’s Oak Ridge National Laboratory, Massachusetts Institute of Technology and their collaborators used neutron scattering to reveal magnetic moments in hybrid topological insulator (TI) materials at room temperature, hundreds of degrees Fahrenheit warmer than the extreme sub-zero cold where the properties are expected to occur.

Continue reading “Neutrons tap into magnetism in topological insulators at high temperatures” »

Movidius’ Myriad 2 vision processing chip (Photo: Movidius)

The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it’s about to injects smarts into every other object imaginable.

That’s because makers of silicon processors from giants such as Intel Corp. and Qualcomm Technologies Inc. as well as a raft of smaller companies are starting to embed deep learning software into their chips, particularly for mobile vision applications. In fairly short order, that’s likely to lead to much smarter phones, drones, robots, cameras, wearables and more.

Continue reading “AI-On-A-Chip Soon Will Make Phones, Drones And More A Lot Smarter” »

Google’s Project Soli was one of the highlights of the company’s developer conference last year, but there’s been little news about it since then.

The technology uses special radar-sensors packed in a tiny chip to detect a person’s physical movements (such as rubbing two fingers together), letting a person do things like turn the volume up on a radio without actual touching anything.

The recent news that Regina Dugan, the head of the Advanced Technology and Projects lab at Google that oversaw Soli, jumped ship to go work at rival Facebook, did not seem like a good sign for the future of Soli. And with Microsoft’s recent unveiling of similar technology, Google’s impressive product demo last year seemed like it might not make it out of the lab.

Continue reading “Google is quietly making progress on one of its most jaw-dropping tech projects” »