Blood plasma, cellular reprogramming, endogenous.
You may have heard a lot of talk recently about cellular reprogramming, rejuvenation or even “rejuvenation programming”, but what does that all mean and what are the 3 main strategies that several researchers and companies (maybe Altos Labs) will be further investigating?
In January 1999, scientists observed mysterious motions within a solar flare.
Unlike typical flares that showed bright energy erupting outwards from the Sun, this solar flare also displayed a downward flow of motion, as if material was falling back towards the Sun. Described as “downward-moving dark voids,” astronomers wondered what exactly they were seeing.
Boom expects to break ground this year on a 400,000-sq-ft Overture production plant and begin manufacturing of the supersonic airliner in 2024.
A team of engineers at the University of Illinois Chicago has built a cost-effective artificial leaf that can capture carbon dioxide at 100 times better than current technologies.
This novel artificial leaf works in the real world, unlike other carbon capture systems that could only work with carbon dioxide from pressurized tanks. It captures carbon dioxide from more dilutes sources, like air and flue gas produced by coal-fired power plants, and releases it for use as fuel and other materials.
“Our artificial leaf system can be deployed outside the lab, where it has the potential to play a significant role in reducing greenhouse gases in the atmosphere thanks to its high rate of carbon capture, relatively low cost, and moderate energy, even when compared to the best lab-based systems,” said Meenesh Singh, assistant professor of chemical engineering in the UIC College of Engineering and corresponding author on the paper.
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This is a talk by Ray Kurzweil for course 6.S099: Artificial General Intelligence. For this entire recording, Ray did not use slides, so the video does not show any slides. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.
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How can architects design for the inevitable suburban sprawl that comes with our rapidly growing cities?
Astronomers use fast radio bursts for the first time to measure the Hubble constant in hopes of ending the debate on the universe’s expansion rate.
The new foundation of the artificial intelligence (AI) economy is flexible, remote work. Thanks to advances in technology that enable remote work at an unimaginable scale, organizations developing AI can now collaborate with people from almost anywhere, including previously inaccessible areas. People across the globe can now contribute to building AI in meaningful ways, particularly through data preparation and annotation work. This has led to the emergence of a new and growing freelance category — focused on AI training data annotation and collection.
While many AI economy participants join searching for additional income, a good portion of data annotators join the AI economy because they are seeking challenging opportunities. Whatever their reason, contributors benefit positively from the new opportunities flexible work affords. Geography is no longer an impediment to skill development or participation in projects that they’re enthusiastic about.
Organizations building AI are embracing remote contracting arrangements in order to access the contributions of people around the world. These contributors may not necessarily live in technology hubs, nor have had the opportunity to participate in AI before the arrival of these remote options. In fact, professional options in their locale may be limited as a whole. Appen recently released their Impact Pulse survey of the crowd and found that 40% of contributors rely on the work from home model due to barriers of accessing traditional work. Thirty-two percent were living below the global poverty line before starting with Appen, and of those, 53% have been lifted above due to their work in the AI Economy.
