In an interview to Moneycontrol, Meta’s Yann LeCun expressed optimism about the benefits of artificial intelligence and calls out any harm arising from it as ‘science fiction’ at this point.
Tesla added more market value Thursday than the combined valuations of top U.S. competitors Ford and General Motors.
Astronomers discover largest water reservoir surrounding a quasar 12 billion light-years away.
New research reveals that prolonged mental load weakens brain connectivity, but compensatory mechanisms keep cognitive performance steady.
Summary: A recent study shows that prolonged mental exertion weakens connectivity between the brain’s frontal and parietal lobes, impacting cognitive efficiency. However, the brain has built-in compensatory mechanisms that adjust neural connections to preserve function under fatigue.
Researchers observed this in participants completing memory tasks of varying difficulty; while fatigue slowed performance on simple tasks, complex tasks triggered compensatory adjustments. Findings suggest that these mechanisms allow the brain to optimize resources based on task complexity.
Continue reading “Mental Fatigue Triggers Compensatory Brain Mechanisms” »
A team of biologists affiliated with several institutions in China has learned more about the means by which tardigrades are able to withstand high doses of radiation. In their study, published in the journal Science, the group focused on a newly found species of the creature.
2024 Market Research from Morgan Stanley pegs the market for BCI at $400B in the US alone. Synchron, Neuralink, Paradromics, Precision, InBrain, ONWARD and more.
Each retraining may cost millions of dollars in computation.
New research shows that AI models need to be completely retrained to learn new concepts — which is an expensive problem for AI companies.
Theoretical work provides a long-awaited explanation for why measurements of qubits in superconducting quantum computers are less accurate than expected.
In 2022, a nuclear-fusion experiment yielded more energy than was delivered by the lasers that ignited the fusion reaction (see Viewpoint: Nuclear-Fusion Reaction Beats Breakeven). That demonstration was an example of indirect-drive inertial-confinement fusion, in which lasers collapse a fuel pellet by heating a gold can that surrounds it. This approach is less efficient than heating the pellet directly since the pellet absorbs less of the lasers’ energy. Nevertheless, it has been favored by researchers at the largest laser facilities because it is less sensitive to nonuniform laser illumination. Now Duncan Barlow at the University of Bordeaux, France, and his colleagues have devised an efficient way to improve illumination uniformity in direct-drive inertial-confinement fusion [1]. This advance helps overcome a remaining barrier to high-yield direct-drive fusion using existing facilities.
Triggering self-sustaining fusion by inertial confinement requires pressures and temperatures that are achievable only if the fuel pellet implodes with high uniformity. Such uniformity can be prevented by heterogeneities in the laser illumination and in the way the beams interact with the resulting plasma. Usually, researchers identify the laser configuration that minimizes these heterogeneities by iterating radiation-hydrodynamics simulations that are computationally expensive and labor intensive. Barlow and his colleagues developed an automatic, algorithmic approach that bypasses the need for such iterative simulations by approximating some of the beam–plasma interactions.
Compared with an experiment using a spherical, plastic target at the National Ignition Facility in California, the team’s optimization method should deliver an implosion that reaches 2 times the density and 3 times the pressure. But the approach can also be applied to other pellet geometries and at other facilities.
