Lifeboat Foundation

Scientists are using the Japanese art of origami to inspire various technological innovations, including a bulletproof shield and a deep-sea grabber.

Clinical malaria cases in Burkina Faso drop by 12% after trial of nets treated with new chemical combination.

The battle to create the best artificial intelligence chips is underway. Intel is approaching this challenge from its position as a maker of central processing units (CPUs) or the Xeon microprocessors that dominate the datacenter market. Rival Nvidia is attacking from its position as a maker of graphics processing units (GPUs), and both companies are working on solutions that will handle ground-up AI processing.

Nvidia’s GPUs have already grabbed a good chunk of the market for deep learning neural network solutions, such as image recognition — one of the biggest breakthroughs for AI in the past five years. But Intel has tried to position itself through acquisitions of companies such as Nervana, Mobileye, and Movidius. And when Intel bought Nervana for $350 million in 2016, it also picked up Nervana CEO Naveen Rao.

Rao has a background as both a computer architect and a neuroscientist, and he is now vice president and general manager of the Artificial Intelligence Products Group at Intel. He spoke this week at an event where Intel announced that its Xeon CPUs have generated $1 billion in revenue in 2017 for use in AI applications. Rao believes that the overall market for AI chips will reach $8 billion to $10 billion in revenue by 2022.

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The United States is still the preeminent location for scientific research, but this is not a given, and we should not take it for granted. The new policies being implemented by China, and especially their ambition to attract outside talent, could quickly drain the lifeblood of our scientific institutions. Without a determined effort to attract, support, and retain leading researchers, we cannot expect to drive the breakthroughs, technologies, and medicines of the future. Massachusetts has admirably made a strong commitment to biotechnology through the Life Sciences Initiative. But will this be enough to sustain the scientific ecosystem of the entire country?

The United States is in danger of losing its primacy in scientific research.

In addition to being a well-known cleaning product, ammonia is essential in the manufacture of fertilizers. The chemical process to synthesize ammonia has hardly changed in 100 years, and is still essential, although scientists do not know how to mitigate its negative consequences on the environment.

When, during the summer of 1909, the German chemist Fritz Haber achieved the synthesis of ammonia from nitrogen and hydrogen, little could he foresee the enormous significance of his innovation. Years later, his countryman Carl Bosch was able to produce it at industrial scale by using catalysts and high pressure reactors.

Haber and Bosch, who were awarded the Nobel Prize for their research, gave their names to the ammonia production process that been in use since then. In fact, the Haber-Bosch process is perhaps the most significant innovation of the 20th century.

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The biggest breakthrough in AI, deep learning, has hit a wall, and a debate is raging about how to get to the next level.

We’re excited to announce that we have partnered with Future Grind to produce the Rejuvenation Roundup Podcast, hosted by Ryan O’Shea! Explore the latest in life extension and anti-aging science with a dive into a month’s worth of scientific insights and new breakthroughs. More at lifespan.io/roundup

Today, economist and Nobel laureate, Paul Krugman, wrote in the New York Times, that Bitcoin is taking us back 300 years in monetary evolution. As a result, he predicts all sorts of bad things.

A significant basis for Mr. Krugman’s argument is that the US dollar has value because men with guns say it does.

Is Bitcoin erasing 300 years of monetary evolution?

Running with the metaphor that fundamental change to an economic mechanism represents ‘evolution’, I think a more accurate statement is that Bitcoin is not erasing the lessons of history. Rather, it is the current step in the evolution of money. Of course, with living species, evolution is a gradual process based on natural selection and adaptation. With Bitcoin, change is coming up in the rear view mirror at lightning speed.

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Companies like to flaunt their use of artificial intelligence to the point where it’s virtually meaningless, but the truth is that AI as we know it is still quite dumb. While it can generate useful results, it can’t explain why it produced those results in meaningful terms, or adapt to ever-evolving situations. DARPA thinks it can move AI forward, though. It’s launching an Artificial Intelligence Exploration program that will invest in new AI concepts, including “third wave” AI with contextual adaptation and an ability to explain its decisions in ways that make sense. If it identified a cat, for instance, it could explain that it detected fur, paws and whiskers in a familiar cat shape.

Importantly, DARPA also hopes to step up the pace. It’s promising “streamlined” processes that will lead to projects starting three months after a funding opportunity shows up, with feasibility becoming clear about 18 months after a team wins its contract. You might not have to wait several years or more just to witness an AI breakthrough.

Continue reading “DARPA pushes for AI that can explain its decisions” »