Improvements in public health and medicine have lengthened human survival, but science has yet to overcome ageing.
Edward Frenkel is a renowned mathematician, professor of University of California, Berkeley, member of the American Academy of Arts and Sciences, and winner of the Hermann Weyl Prize in Mathematical Physics. In this episode, Edward Frenkel discusses the recent monumental proof in the Langlands program, explaining its significance and how it advances understanding in modern mathematics.
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Edward Frenkel’s previous lecture on TOE [Part 1]: • Revolutionary Math Proof No One Could…
Check out Edward Frenkel’s New York Times Bestselling book “Love and Math” which covers a lot of material in this video: https://amzn.to/4evbBkS
Well it does kinda look like a stapler.
This wild-looking people mover can transport up to 20, Musk said.
They say aging is just a part of life, but have you ever wondered if it really has to be? What if getting older isn’t just something we accept but something we could actually treat?
In this riveting episode of Peak Human Labs Podcast, Dr. Sanjeev Goel, sits down with Dr. Aubrey de Grey, a trailblazing biomedical gerontologist and Chief Science Officer of the SENS Research Foundation. They dive deep into the revolutionary idea of treating aging as a medical condition. They explore how damage accumulates in our bodies over time and discuss the groundbreaking medical advancements that could extend our healthy lifespans. Dr. de Grey sheds light on the crucial need for investing in underfunded research and shares insights into the future of longevity science. Tune in and envision a future where health and longevity are not just aspirations but achievable realities!
Click https://dublinlongevitydeclaration.or… to sign in for Dublin Longevity Declaration.
In This Episode:
We, Robot
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Pigs are considered useful biomedical models for humans so the implications of such studies sent waves through the field of resuscitation — and bioethics.
At the recent annual International AIDS Conference, a startling presentation about the newest wonder drug in HIV prevention brought a raucous standing ovation.
But some of us in the public health community are now starting to wonder what all the cheering was about. Although the scientific results were impeccable, the process for translating those results into action for young women in Africa has been left to our imaginations. And if history is any guide, this could be a nightmare.
When the results first came out, Gilead, the manufacturer of lenacapavir, stated it was too early to discuss licensing and offering vague plans about its production and availability in Africa. Just recently, a second study among men who have sex with men and predominantly conducted in the Northern Hemisphere showed similarly promising results. While Gilead now says they have sufficient data to move ahead with licensing and manufacturing worldwide, they have offered no timeline to do so. Urgency to report trial results has not been mirrored by the urgency to provide access. Unanswered questions remain about why another study was needed to move ahead with approvals for use in African women, and if and when lenacapavir will be made available at an affordable price in the African region.
The drug, which has a manufacturing cost estimated at about $40 per year, is currently licensed as an HIV treatment for more than $42,000 per year in the United States. In South Africa, health care expenditures in the public sector are approximately $230 per person per year. Advocates and the study scientists have strongly urged Gilead to make lenacapavir swiftly available in sub-Saharan Africa at an affordable price. But with over 3,000 women infected with HIV each week in the region according to UNAIDS estimates, there is no time to waste.
A mathematical proof shows that some quantum states can resist nature’s tendency to disorder – but only under very specific conditions.
Overcoming ‘catastrophic forgetting’: Algorithm inspired by brain allows neural networks to retain knowledge
Posted in biological, information science, robotics/AI, transportation | Leave a Comment on Overcoming ‘catastrophic forgetting’: Algorithm inspired by brain allows neural networks to retain knowledge
Neural networks have a remarkable ability to learn specific tasks, such as identifying handwritten digits. However, these models often experience “catastrophic forgetting” when taught additional tasks: They can successfully learn the new assignments, but “forget” how to complete the original. For many artificial neural networks, like those that guide self-driving cars, learning additional tasks thus requires being fully reprogrammed.
Biological brains, on the other hand, are remarkably flexible. Humans and animals can easily learn how to play a new game, for instance, without having to re-learn how to walk and talk.
Inspired by the flexibility of human and animal brains, Caltech researchers have now developed a new type of algorithm that enables neural networks to be continuously updated with new data that they are able to learn from without having to start from scratch. The algorithm, called a functionally invariant path (FIP) algorithm, has wide-ranging applications from improving recommendations on online stores to fine-tuning self-driving cars.