Artificial intelligence (AI) based on machine learning offers opportunities for the life sciences. However, problems often arise in practice. One cause is data leakage, the illicit spillover of information from the training ...
Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks. However, quantum systems are also more sensitive to noise and thus prone to errors, due to the known ...
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change. These sudden shifts, known ...
A new North Carolina State University study combines satellite imagery with machine learning technology to help model rice crop productivity faster and more accurately. The tool could help decision-makers around the world ...
A new artificial intelligence-based weather model can deliver 15-day forecasts with unrivaled accuracy and speed, a Google lab said, with potentially life-saving applications as climate change ramps up.
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand systems' adsorption energy, ...
A recent study presents a radiative transfer model-driven machine learning technique for retrieving carbon monoxide from the world's first hyperspectral Geostationary Interferometric Infrared Sounder (GIIRS) onboard Fengyun-4B ...
Every day, researchers at the Department of Energy's SLAC National Accelerator Laboratory tackle some of the biggest questions in science and technology—from laying the foundations for new drugs to developing new battery ...
Organic semiconductors represent a transformative technology that bridges traditional electronics with the versatility of organic materials. They make flexible, wearable devices and next-generation displays possible.
A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the materials' properties, enabling ...
