Lifeboat Foundation

Dramatic advances in laser technologies are enabling novel studies to explore laser-matter interactions at ultrahigh intensity. By focusing high-power laser pulses, electric fields (of orders of magnitude greater than found within atoms) are routinely produced and soon may be sufficiently intense to create matter from light.

Now, intriguing calculations from a research team at the Institute of Applied Physics of the Russian Academy of Sciences (IAP RAS), and reported this week in Physics of Plasmas, explain the production and dynamics of electrons and positrons from ultrahigh-intensity laser-matter interactions.

READ MORE ON AMERICAN INSTITUTE OF PHYSICS | AIP PUBLISHING

Continue reading “Physicists believe they can create antimatter and matter via lasers… per their calculations” »

A Silicon Valley start-up wants to use technology to solve the pizza paradox. It’s a food that’s meant to be delivered, but never tastes quite as good upon arrival.

Industry leaders in the world of artificial intelligence just announced the Partnership on AI. This exciting new partnership was “established to study and formulate best practices on AI technologies, to advance the public’s understanding of AI, and to serve as an open platform for discussion and engagement about AI and its influences on people and society.”

The partnership is currently co-chaired by Mustafa Suleyman with DeepMind and Eric Horvitz with Microsoft. Other leaders of the partnership include: FLI’s Science Advisory Board Member Francesca Rossi, who is also a research scientist at IBM; Ralf Herbrich with Amazon; Greg Corrado with Google; and Yann LeCun with Facebook.

Though the initial group members were announced yesterday, the collaboration anticipates increased participation, announcing in their press release that “academics, non-profits, and specialists in policy and ethics will be invited to join the Board of the organization.”

Continue reading “The Biggest Companies in AI Partner to Keep AI Safe” »

“Brittan Heller has a hard job. The Anti-Defamation League’s first director of technology and society, she’ll be working with tech companies to combat online harassment.”

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In Brief.

• Researchers underwent a massive study to estimate a person’s lifespan based on their biological age.
• The results could explain why, even if you lead a healthy life, you might still die before you turn 100.

Please sign this petition to the NIH to help get more funding for aging research.

Every year about two million Americans die of illnesses doctors cannot cure. Cancer afflicts 50% of men and 30% of women. Five hundred and ninety five thousand Americans will die of cancer this year. Millions get heart diseases, strokes, etc. Every year 1,612,552 Americans die of the top 8 illnesses that doctors are unable to cure. Over a 30-year period, 48,376,560 United States citizens will die of the top 8 illnesses. Let us not forget other disabling and potentially curable illnesses. How much is it worth to save them? We have the resources and opportunity to cure age-related disease.

History has shown that medical research actually saves money. We now spend three trillion two hundred billion dollars yearly for health care. The health care expenditures will increase as our population grows with more senior citizens.

Continue reading “Fund Medical Research to End Age-Related Disease” »

https://www.youtube.com/watch?v=IFA6DLT1jBA

Elon Musk unveils SpaceX’s future Mars vehicle and discusses the long-term technical challenges that need to be solved to support the creation of a permanent, self-sustaining human presence on Mars. The presentation focuses on potential architectures for sustaining humans on the Red Planet that industry, government and the scientific community can collaborate on in the years ahead.

Overview:
00:00. Why Mars and become a multi-planetary civilisation.

Continue reading “Elon Musk unveils plan to colonise Mars (2016.9.27)” »

Volkswagen finally unveiled the electric concept car it’s been teasing ahead of the Paris Motor Show, and the automaker is promising a mean range.

Translating from one language to another is hard, and creating a system that does it automatically is a major challenge, partly because there are just so many words, phrases and rules to deal with. Fortunately, neural networks eat big, complicated data sets for breakfast. Google has been working on a machine learning translation technique for years, and today is its official debut.

The Google Neural Machine Translation system, deployed today for Chinese-English queries, is a step up in complexity from existing methods. Here’s how things have evolved (in a nutshell).