Oriental Cyeber World: How Water Could Help Make Better Batteries.. Cha...

Oriental Cyeber World: How Water Could Help Make Better Batteries..
Cha...: How Water Could Help Make Better Batteries.. Charles Q. Choi, TechNewsDaily Contributor | June 11, 2013 10:38am ET ...

How Water Could Help Make Better Batteries..

Charles Q. Choi, TechNewsDaily Contributor | June 11, 2013 10:38am ET

Water could be the key to producing a cheaper, more environmentally friendly and less dangerous way of making the lithium-ion batteries that power so many everyday gadgets, researchers say.

Currently, rechargeable lithium-ion batteries are typically found in mobile devices such as cellphones, laptops and tablet computers, and they are increasingly being used to power hybrid and electric vehicles. As their uses grow, scientists would like to manufacture the batteries in a manner that's both less expensive and more environmentally friendly.

"The application of lithium-ion batteries in electric vehicles is hindered by their high cost," researcher Jianlin Li, a materials scientist at Oak Ridge National Laboratory, told TechNewsDaily. "For example, the cost of the lithium-ion batteries in the Nissan Leaf and Chevy Colt is about $500 per kilowatt-hour, which is almost five times of the target cost — $110 per kilowatt-hour — of an electric vehicle lithium-ion battery set by the president's EV Everywhere Grand Challenge."

 Google and NASA Buy Problem-Solving Quantum Computer.

Elizabeth Palermo, TechNewsDaily Contributor
May 16 2013 02:42 PM ET

Two of the biggest names in technology have teamed up to solve the world's problems using artificial intelligence. Google and NASA announced today (May 16) their joint purchase of a quantum computer that can perform complex calculations thousands of times faster than traditional supercomputers.

The Quantum Artificial Intelligence Lab, as the computer system is called, will be housed at NASA's Ames Research Center. Google and NASA purchased the computer from D-Wave Systems of Burnaby, British Columbia, in cooperation with the nonprofit research corporation Universities Space Research Association.

According to Google's research blog, the lab will be used to study machine learning, which is the way computers keep track of patterns in information in order to improve outputs. The spam filters used by email providers and your smartphone's ability to understand spoken language are both examples of machine learning.

But Google and its partners hope to the AI Lab to solve more serious problems than junk mail and where to find the nearest taco stand.

"Machine learning is all about building better models of the world to make more accurate predictions," Google said in its blog post. "If we want to cure diseases, we need better models of how they develop. If we want to create effective environmental policies, we need better models of what's happening to our climate."

And of course, Google also mentioned the usefulness of a quantum computer in solving the machine learning problems associated with building a more efficient search engine.

To that end, Google said it has already developed some handy quantum machine learning algorithms; one which produces hyper-efficient recognizers and that will make searches on mobile devices more energy-efficient, and another that can sort through vast amounts of "highly polluted," or mislabeled, data.

Outside of these new algorithms, Google said it's already learned a valuable lesson from its new toy: don't try to reinvent the wheel. According to Google, the immediate future of artificial intelligence lies in combining quantum computing with classical computing methods.

To explain the interaction between these two computing methods, Google used the analogy of trying to build a house. You have to balance a lot of constraints to build a house- budget, usage requirements, space limitations- while still trying to create something beautiful. Classical computers alone aren't very good at this balancing act.

However, when you mix quantum computing with classical computing, you can solve problems more like a flesh-and-blood architect would - in a way that is both mathematically accurate and creative.

"We hope it helps researchers construct more efficient and more accurate models for everything from speech recognition, to web search, to protein folding," said the Google post. "We actually think quantum machine learning may provide the most creative problem-solving process under the known laws of physics."


While Google is still talking about its new acquisition in terms of how it can be used to solve global problems, it's also interesting to consider the more distant applications of such a powerful and intuitive machine. Will the marriage of classical and quantum computers bring us one step closer to the Singularity?

Given the newness of the AI Lab, that idea might seem far-fetched. But with Ray Kurzweil as Google's director of engineering, a sci-fi near-future doesn't seem all that unlikely. It might be wise to keep an eye out for Cylons, or at the very least, some interesting developments in the field of AI