Oct 8, 2024
Tom Snyder: AI could be smarter than humans when it comes to health care
Posted by Rx Sobolewski in categories: health, robotics/AI
Information about Tom Snyder: AI could be smarter than humans when it comes to health care.
Information about Tom Snyder: AI could be smarter than humans when it comes to health care.
Billionaires are backing top scientists racing to develop tech that could reverse aging. Cellular reprogramming promises to rejuvenate the body… but how does it work, and is it safe?
00:00 – Introduction.
00:55 – The Role Of Stem Cells.
02:33 – What Is Aging?
03:24 – What Is Cellular Reprogramming?
03:56 – How The Yamanaka Factors Can Rejuvenate Cells.
05:35 – Why Scientists Want To Partially Reprogram Cells.
06:28 – How Humans Could Become More Resilient To Age-Related Diseases.
07:00 – How Johnny Huard Uses Cellular Reprogramming.
08:10 – How Cellular Reprogramming Could Shape The Future.
08:38 – Amazon’s Jeff Bezos Is Investing Billions With Altos Labs.
09:02 – How Harvard Professor David Sinclair Used Cellular Reprogramming on Mice.
10:07 – ChatGPT’s Sam Altman Launched Retro. Biosciences.
10:57 – The Risks of Cellular Reprogramming, Including Cancer.
12:56 – How the Tech World Is Investing In Biotech.
13:50 – Credits.
STOCKHOLM — John Hopfield and Geoffrey Hinton were awarded the Nobel Prize in physics Tuesday for discoveries and inventions that formed the building blocks of machine learning.
“This year’s two Nobel Laureates in physics have used tools from physics to develop methods that are the foundation of today’s powerful machine learning,” the Nobel committee said in a press release.
Hopfield’s research is carried out at Princeton University and Hinton works at the University of Toronto.
Gibbs said the two leases are among the top five largest new leases signed in Texas since the start of the year. The most recent in west Fort Worth is the third largest behind two others in Houston.
The Dallas-Fort Worth area is a hub for data centers, accounting for about one-tenth of the market, second to Northern Virginia. According to analysis from commercial real estate firm Avison Young, the DFW market ranks No. 4 behind northern Virginia, Atlanta and Phoenix, and vacancy sits at 1.4%.
Continue reading “California-based Google leases a 1.1M-square-foot building in North Texas” »
Our planet might be hit by another massive solar flare Monday, following multiple northern lights sightings across the U.S. on Sunday night.
There is a 30 percent chance of an X-class solar flare hitting us on October 7, and a 75 percent chance of an M-class flare being seen, due to the Earth being in the “crosshairs” of six volatile sunspots on the sun’s surface.
This comes as 14 U.S. states caught a glimpse of the northern lights on Sunday night, thanks to a G1 to G2-strength geomagnetic storm.
The Oregon company already has robots working in a Spanx warehouse and running trials at Amazon facilities.
Astronomers have used the NASA/ESA James Webb Space Telescope to confirm that supermassive black holes can starve their host galaxies of the fuel they need to form new stars. The results are reported in the journal Nature Astronomy.
The international team, co-led by the University of Cambridge, used Webb to observe a galaxy roughly the size of the Milky Way in the early universe, about two billion years after the Big Bang. Like most large galaxies, it has a supermassive black hole at its center. However, this galaxy is essentially ‘dead’: it has mostly stopped forming new stars.
“Based on earlier observations, we knew this galaxy was in a quenched state: it’s not forming many stars given its size, and we expect there is a link between the black hole and the end of star formation,” said co-lead author Dr. Francesco D’Eugenio from Cambridge’s Kavli Institute for Cosmology.
The US government has launched a new supercomputer in Livermore, California.
The Department of Defense (DoD) and National Nuclear Security Administration (NNSA) this month inaugurated a new supercomputing system dedicated to biological defense at the Lawrence Livermore National Laboratory (LLNL).
Specs not shared, but same architecture as upcoming El Capitan system.
Continue reading “DoD launches new biological defense supercomputer at Lawrence Livermore Lab” »
Imposing time-dependent strain on a magnetic disk induces vortex dynamics and offers a path toward energy-efficient spintronic devices.
Nanoscopic magnetic vortices made from electron spins could be used in spintronic computers (see Research News: 3D Magnetism Maps Reveal Exotic Topologies). To this end, researchers need an energy-efficient way to excite these vortices into a so-called gyrotropic mode—an orbital motion of the vortex core around the central point. The direction of this orbital motion would determine which of two binary states the vortex represents. Vadym Iurchuk at the Helmholtz-Zentrum Dresden-Rossendorf, Germany, and his colleagues have now demonstrated such a method by imposing a time-varying strain on a magnetic material [1].
The excitation of gyration dynamics by an oscillating strain was suggested by a separate team in 2015 [2]. The idea involves depositing a magnetic film, in which magnetic vortices form spontaneously, on a piezoelectric substrate. Applying an alternating voltage to the substrate transfers a time-varying mechanical strain to the film, dynamically perturbing its magnetic texture. This perturbation displaces a vortex core from its equilibrium position, thereby exciting the gyrotropic mode.
Living organisms constantly navigate dynamic and noisy environments, where they must efficiently sense, interpret, and respond to a wide range of signals. The ability to accurately process information is vital for both executing interspecies survival strategies and for maintaining stable cellular functions, which operate across multiple temporal and spatial scales [1] (Fig. 1). However, these systems often have access to only limited information. They interact with their surroundings through a subset of observable variables, such as chemical gradients or spatial positions, all while operating within constrained energy budgets. In this context, Giorgio Nicoletti of the Swiss Federal Institute of Technology in Lausanne (EPFL) and Daniel Maria Busiello of the Max Planck Institute for the Physics of Complex Systems in Germany applied information theory and stochastic thermodynamics to provide a unified framework addressing this topic [2]. Their work has unraveled potential fundamental principles behind transduction mechanisms that extract information from a noisy environment.
Bacteria, cells, swarms, and other organisms have been observed acquiring information about the environment at extraordinarily high precision. Bacteria can read surrounding chemical gradients to reach regions of high nutrients consistently [3], and cells form patterns during development repetitively and stably by receiving information on the distribution and concentration of external substances, called morphogens [4]. In doing so, they must interact with a noisy environment where the information available is scrambled and needs to be retrieved without corrupting the relevant signal [5]. All this comes at a cost.
The idea that precision is not free is an old one in the field of stochastic thermodynamics, and the cost usually comes in the form of energy dissipation [6]. This trade-off is even more relevant for biological systems that have limited access to energy sources. Living systems are pushed to find optimal strategies to achieve maximum precision while minimizing energy consumption. Consequently, a complete quantitative description of how these strategies are implemented requires the simultaneous application of information theory and stochastic—that is, noisy—thermodynamics.