Back in the old days—the really old days—the task of designing materials was laborious. Investigators, over the course of 1,000-plus years, tried to make gold by combining things like lead, mercury, and sulfur, mixed in what ...
Researchers have developed a novel method to assess depression in CEOs by using machine learning models (a type of artificial intelligence) to analyze vocal acoustic features from conference call recordings. This innovative ...
Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these parameters from scratch ...
Machine learning (ML) transforms the design of heterogeneous catalysts, traditionally driven by trial and error due to the complex interplay of components. BIFOLD researcher Parastoo Semnani from the ML group of BIFOLD Co-Director ...
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, ...
