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Nov 24, 2024

Unlocking The Genetic Code: AI Reveals New Insights Into Psychiatric Disorders

Posted by in categories: biotech/medical, genetics, robotics/AI

Recent breakthroughs in genetics research may have uncovered new genes underlying common psychiatric disorders. Schizophrenia and bipolar disorder affect more than 64 million people around the world. These disorders are strongly influenced by genetics. No one gene, however, determines one’s risk of developing schizophrenia or bipolar disorder. Rather, it is likely that a host of genes contribute to risk. Using artificial intelligence, researchers at Stanford University now have uncovered complex variants throughout the human genome that may contribute to these psychiatric disorders. This new study suggests that mutations that occur after fertilization, such as genetic mosaicism, may be responsible for a number of psychiatric disorders including bipolar disorder and schizophrenia.

Think of a genome as a living book with instructions for every cell in the body. Our genes are the chapters. We have approximately 200,000 genes that provide instructions for making proteins, the building blocks of life. The vast majority of our genes, however, are non-coding, meaning that they do not provide instructions for proteins. Nonetheless, these genes play an important role in genetics and regulating cell function.

Genetic variants, or spelling changes, in either a coding or non-coding region can interfere with how the cell translates specific instructions. A small typo may have little to no effect on how the book is read. However, larger spelling changes can lead to the deletion of a sentence or even a whole chapter. Without the correct instructions to produce specific proteins, these spelling changes can contribute to disorders that impact different aspects of our body.

Nov 24, 2024

Two robots debate the future of humanity

Posted by in categories: futurism, robotics/AI

Hanson Robotics Limited’s Ben Goertzel, Sophia and Han at RISE 2017.

Now for something that’s never been done onstage before. While they may not be human, our next guests are ready to discuss the future of humanity, and how they see their types flourish over the coming years.

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Nov 24, 2024

OpenAI is funding research into ‘AI morality’

Posted by in categories: ethics, information science, robotics/AI

One of the leading AI companies is funding academic research into algorithms that can predict humans’ moral judgements.

Nov 24, 2024

Why We Die: The New Science of Aging and the Quest for Immortality (Audio Summary)

Posted by in categories: life extension, neuroscience, science

Please consider adding this book to your collection. The more places wisdom is preserved, the better!

https://www.amazon.com/Why-We-Die-Sci?tag=lifeboatfound-20

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Nov 24, 2024

MIT Longevity, AI, and Cognitive Research Hackathon: Michael Lustgarten, PhD @ekkolapto3

Posted by in categories: biotech/medical, genetics, life extension, robotics/AI

Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD

Discount Links/Affiliates:
Blood testing (where I get my labs): https://www.ultalabtests.com/partners/michaellustgarten.

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Nov 24, 2024

Youngest planet ever discovered challenges planet formation timelines

Posted by in category: space

The planet, a very young gas giant, is about 521 light-years away from Earth. Its strange orbit also enables researchers to get exciting information as it transits in front of its parent star with little to no obstructions to Earth-based instruments, like NASA’s Transiting Exoplanet Survey Satellite (TESS), which made the discovery.

IRAS 04125+2902 b is roughly the same age as its parent star, which is far too brief in cosmic terms under our current understanding of planet formation.

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Nov 24, 2024

Honda Is Getting Closer To Making Solid-State Batteries

Posted by in categories: energy, transportation

The automaker built a demonstration production line to figure out how to make affordable, high-density solid-state batteries for EVs and everything else.

Nov 24, 2024

A new puzzle piece for string theory research

Posted by in categories: information science, mathematics, particle physics, quantum physics

String theory aims to explain all fundamental forces and particles in the universe—essentially, how the world operates on the smallest scales. Though it has not yet been experimentally verified, work in string theory has already led to significant advancements in mathematics and theoretical physics.

Dr. Ksenia Fedosova, a researcher at the Mathematics Münster Cluster of Excellence at the University of Münster has, along with two co-authors, added a new piece to this puzzle: They have proven a conjecture related to so-called 4-graviton scattering, which physicists have proposed for certain equations. The results have been published in the Proceedings of the National Academy of Sciences.

Gravitons are hypothetical particles responsible for gravity. “The 4-graviton scattering can be thought of as two gravitons moving freely through space until they interact in a ‘black box’ and then emerge as two gravitons,” explains Fedosova, providing the physical background for her work. “The goal is to determine the probability of what happens in this black box.”

Nov 24, 2024

The Bizarre Mystery of the Quantum Foam

Posted by in categories: cosmology, particle physics, quantum physics

An exploration of the bizarre mystery of John Wheeler’s quantum foam, virtual particles and virtual black holes and how the universe could have come from a quantum fluctuation.

My Patreon Page:

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Nov 24, 2024

No more injections: MIT develop capsule that delivers drugs straight to the gut

Posted by in categories: biotech/medical, chemistry, robotics/AI

1,271 likes, — artificialintelligencenews.in on November 22, 2024: According to former Google CEO Eric Schmidt, the tech industry anticipates that within the next five years, AI systems will be able to write and improve their code. This means AI will soon be capable of analyzing and enhancing its programming, setting off a recursive process that could dramatically accelerate development.

Schmidt suggests that by around 2030–2032, we might see a single AI system that can match 80–90% of the expertise of top specialists across various fields—whether that’s physics, chemistry, art, or more. Such a system would, in effect, be smarter than any human, as no one person can excel in all these disciplines at once. In short, Schmidt believes we are approaching a future where AI could possess intellectual versatility that surpasses any individual human’s abilities.

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