Life, uh, finds a way.
A revolution is underway in gene editing—and at its forefront is David Liu, an American molecular biologist whose pioneering work is rewriting the building blocks of life with unprecedented precision.
A professor at the Broad Institute of MIT and Harvard, Liu was awarded a Breakthrough Prize in Life Sciences on Saturday for developing two transformative technologies: one already improving the lives of patients with severe genetic diseases, the other poised to reshape medicine in the years ahead.
He spoke with AFP ahead of the Los Angeles ceremony for the prestigious Silicon Valley-founded award.
The Gefion AI Supercomputer (GAIS) project, which delivers Denmark’s first artificial intelligence (AI) turbo-charged supercomputer, has positioned Denmark as the most advanced of the Nordic region’s quantum computing investing nations.
It also serves to accelerate the use of AI to drive innovation across Denmark’s business and industrial sectors.
Built on the Nvidia DGX SuperPOD AI supercomputer, GAIS is powered by 1,528 Nvidia H100 Tensor Core graphics processing units (GPUs) and interconnected using Nvidia Quantum-2 InfiniBand networking.
A long-simmering disagreement over the universe’s present-day expansion rate shows no signs of resolution, leaving experts increasing ly vexed.
By Anil Ananthaswamy edited by Lee Billings
Over the past decade, two very different ways of calculating the rate at which the universe is expanding have come to be at odds, a disagreement dubbed the Hubble tension, after 20th-century astronomer Edwin Hubble. Experts have speculated that this dispute might be temporary, stemming from subtle shortcomings in observations or analyses that will eventually be corrected rather than from some flawed understanding of the physics of the cosmos. Now, however, a new study that relies on an independent measure of the properties of galaxies has strengthened the case for the tension. Quite possibly, it’s here to stay.
Quantum promises huge breakthroughs in drug discovery and last-mile delivery, but there are still unknowns about what a world in quantum’s hands will mean.
Bradley Martin, with a background in molecular ecology, genomics, and bioinformatics, is leading research-driven integration of AI with large-scale genomic datasets.
A major breakthrough in quantum computing has just been achieved by American researchers at MIT. This innovation, dubbed the “quantum superhighway”, revolutionizes communication between quantum processors and opens up promising new prospects for the development of more powerful and efficient supercomputers.
Quantum computers today represent the cutting edge of computing technology, capable of solving problems far beyond the capabilities of conventional supercomputers. However, their efficiency depends on fast, precise communication between their various processors. This is precisely the challenge that American engineers have just met.
The innovation developed by the MIT team consists of an interconnection device enabling instant communication between quantum processors. Unlike traditional “point-to-point” link systems, which are prone to increasing errors during data transfer, this “quantum superhighway” promotes far more efficient “all-to-all” communication.
Combining space topology and time topology, topological states that are localized simultaneously in space and time are theoretically and experimentally demonstrated, potentially enabling the space-time topological shaping of light waves with applications in spatiotemporal wave control for imaging, communications and topological lasers.
Tesla is now shipping the Full Self-Driving (FSD) (Supervised) Early Access Program to the USA. This is a big step forward in Tesla’s work to improve and project its autonomous driving technology. Tesla expects that the capability will eventually extend to all FSD owners in North America, letting them try out pre-release versions of the automaker’s most sophisticated automotive-driving-assistance software.
Enrolling in this program will allow Tesla owners to test out high-end upgrades before the rest of the public gains access. Most importantly, participants will offer useful info and vehicle data that will aid in refining and fine-tuning future versions.
“I give you God’s view,” said Toby Cubitt, a physicist turned computer scientist at University College London and part of the vanguard of the current charge into the unknowable, and “you still can’t predict what it’s going to do.”
Eva Miranda, a mathematician at the Polytechnic University of Catalonia (UPC) in Spain, calls undecidability a “next-level chaotic thing.”
Undecidability means that certain questions simply cannot be answered. It’s an unfamiliar message for physicists, but it’s one that mathematicians and computer scientists know well. More than a century ago, they rigorously established that there are mathematical questions that can never be answered, true statements that can never be proved. Now physicists are connecting those unknowable mathematical systems with an increasing number of physical ones and thereby beginning to map out the hard boundary of knowability in their field as well.