Lifeboat Foundation: Safeguarding Humanity
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At the height of the Cold War, a terrifying concept emerged: a bomb so powerful it wouldn’t need to be dropped. Known as Project Sundial, this doomsday device would have left a 400-km radius in flames and plunged the world into darkness. It was a bomb that would destroy everything – not a weapon, but an apocalypse. How close did we come to pressing the button?

Continue reading “The Most Insane Weapon You Never Heard About” | >

A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the materials’ properties, enabling the latter to sense gases, filter out seawater, and even help in DNA sequencing.

“The problem is that these 2D materials have a wide distribution of nanopores, both in terms of shape and size,” says Ananth Govind Rajan, Assistant Professor at the Department of Chemical Engineering, Indian Institute of Science (IISc). “You don’t know what is going to form in the material, so it is very difficult to understand what the property of the resulting membrane will be.”

Machine learning models can be a powerful tool to analyze the structure of nanopores in order to uncover tantalizing new properties. But these models struggle to describe what a looks like.

Read more | >

Moore’s Law, the guiding concept in computing, is an observation made by Intel co-founder Gordon Moore. According to this law, the number of transistors on a device doubles roughly every two years, hence increasing performance. For years, this idea has driven the semiconductor sector.

In the fast-paced world of technology, not many ideas have been as impactful as Moore’s Law. The principle, first highlighted in 1965, predicted that the number of transistors on a microchip would double about every two years, resulting in rapid advancements in computing power. Yet, it has been observed that the transistor count does not merely follow Moore’s Law but surpasses it in significant ways.

With that thought, AIM has put together this article highlighting the number of times Moore’s Law was challenged.

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Scientists have now performed one such large-scale test by using DESI. They observed almost 6 million galaxies and quasars, which are bright hearts of galaxies powered by feeding supermassive black holes. Perhaps unsurprisingly, this test, which has traced the evolution of the universe since it was around 3 billion years old, has once again shown general relativity to be the right “recipe” for gravity.

“General relativity has been very well tested at the scale of solar systems, but we also needed to test that our assumption works at much larger scales,” study co-leader and the French National Center for Scientific Research (CNRS) cosmologist Pauline Zarrouk said in a statement. “Studying the rate at which galaxies formed lets us directly test our theories and, so far, we’re lining up with what general relativity predicts at cosmological scales.”

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Located a staggering 160,000 light-years from us, the star WOH G64 was imaged thanks to the impressive sharpness offered by the European Southern Observatory’s Very Large Telescope Interferometer (ESO’s VLTI). The new observations reveal a star puffing out gas and dust in the last stages before it becomes a supernova.

“For the first time, we have succeeded in taking a zoomed-in image of a in a galaxy outside our own Milky Way,” says Keiichi Ohnaka, an astrophysicist from Universidad Andrés Bello in Chile.

“We discovered an egg-shaped cocoon closely surrounding the star,” says Ohnaka, the lead author of a study reporting the observations published today in Astronomy & Astrophysics. “We are excited because this may be related to the drastic ejection of material from the dying star before a supernova explosion.”

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For a very long time, we have been under the impression that memory and learning are solely the brain’s forte. Central to this belief is the fact that our brains, particularly our brain cells, store memories.

However, an innovative team of researchers begs to differ, suggesting that cells in other parts of the body partake in this memory function too.

The ability of non-brain cells to learn and form memories is a riveting discovery.

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Model mice treated with extracts and powders exhibit restored cognitive and motor functions. Efforts to develop a breakthrough dementia drug are gaining attention, yet traditional medicinal products may provide valuable insights for preventive care. A research group led by Specially Appointed Professor Takami Tomiyama of Osaka Metropolitan University’s Graduate School…

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We were honored to have the brilliant Dr. David Sinclair PhD present a new perspective on his Information Theory of Aging during our longevity research hackathon at MIT Media Lab, from October 2024.

Follow Dr. David Sinclair and his groundbreaking work here:
• Harvard Lab: https://sinclair.hms.harvard.edu/peop…
• X (Twitter): https://twitter.com/davidasinclair.
• Instagram: / davidsinclairphd.
• Site: https://davidasinclair.com.
• Order his best-selling book Lifespan: https://lifespanbook.com.

More about our research hackathon here: https://lu.ma/minds.
Our collaborator Augmentation Lab: https://augmentationlab.org.
Special thanks to our generous sponsor David Protein: https://davidprotein.com.

Useful Links:

Continue reading “Harvard Scientist Dr. David Sinclair’s New Perspective to Solve Aging @ MIT Media Lab” | >