AI models for drug design fail in physics

State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules.

Unit-free theorem pinpoints key variables for AI and physics models

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
IEEE

Data-Based Modeling and Control of the Nonlinear Aircraft System Using Extended Implicit Sparse Identification

Abstract: Modeling and controlling aircraft can be particularly challenging when the system is highly nonlinear or only partially understood. While data-driven approaches can be promising in this ...
Investopedia

Solar Energy: Pros and Cons, Costs, and Environmental Impact

Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Katrina Ávila Munichiello is an experienced editor, writer, fact-checker, and ...
AZoOptics

Low-Dimensional Materials in Nonlinear Optics

Advancements in nonlinear optics using 2D materials are transforming photonic devices, offering enhanced performance and ...
IEEE

Solving Simultaneous Continuous Multi-Objective FlipIt Games Using Co-Evolutionary Computation

Abstract: We present a novel extension to the game of FlipIt, introducing infrastructure costs and their impact on the at-tacker's success rate. This extension results in a simultaneous, continuous, ...