Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced modeling and digital simulations that help guide billion-dollar decisions ...
A new clinic-ready web-based risk prediction tool is now available to forecast the risk of young people with psychosis developing cardiometabolic disorders such as obesity, metabolic syndrome and ...
Researchers at the Indiana University Melvin and Bren Simon Comprehensive Cancer Center have found that depleting a clotting protein made by the liver could slow down pancreatic cancer. The research, ...
For agents, the value is clearer still: structured JSON output, reusable commands and built-in skills that let models ...
The incidence of ischemic stroke continues to rise globally, however, regular physical activity before stroke onset ...
Abstract: This article explores two compact modeling methods for AlGaN/GaN HEMTs under radiation environments, based on Artificial Neural Network (ANN) techniques. The first method is a hybrid compact ...
Identify market leaders, spot failing companies, and uncover attractive acquisition opportunities in the global animal health market. Analyze industry trends and benchmark financial performance using ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...
Abstract: The induced polarization (IP) effect is an important phenomenon in geophysical exploration. Understanding the impact of the IP effect on transient electromagnetic (TEM), it is necessary to ...
To overcome the reliance on manual parameter adjustment and the difficulty in uncertainty quantification of traditional Multiple-Point Geostatistics (MPS) methods, and to address the general lack of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results