Two pioneers of artificial intelligence—John Hopfield and Geoffrey Hinton—won the Nobel Prize in physics Tuesday for helping create the building blocks of machine learning that is revolutionizing the way we work and live ...
Researchers from Tohoku University and the Massachusetts Institute of Technology (MIT) have unveiled a new AI tool for high-quality optical spectra with the same accuracy as quantum simulations, but working a million times ...
Artificial intelligence applications are experiencing a boom and expected to be mainstream technologies in the near future. However, these applications run on classic computing hardware and are extremely power-hungry.
With data from the Copernicus Sentinel-2 mission, researchers have revealed seasonal variations in intertidal seagrass across Western Europe and North Africa. As a key indicator of biodiversity, these new findings offer valuable ...
You can probably think of a time when you've used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play in solving complex problems ...
Researchers at the U.S. Department of Energy's SLAC National Accelerator Laboratory have joined collaborators from around the world to build a prototype neutrino detector that has now captured its first neutrino interactions ...
Deep-learning models are being used in many fields, from health care diagnostics to financial forecasting. However, these models are so computationally intensive that they require the use of powerful cloud-based servers.
At a tranquil nature reserve in South Michigan, an Agricultural Research Service (ARS) scientist and her collaborators connected olden wild bee sample collections and modern technology to better decode the ecological traits ...
Artificial intelligence (AI) is the buzz phrase of 2024. Though far from that cultural spotlight, scientists from agricultural, biological and technological backgrounds are also turning to AI as they collaborate to find ways ...
A research team has proposed a novel approach to accurately describe electron transfer mediated nonadiabatic dynamics of molecules at metal surfaces. Their works were published in Physical Review Letters.
