AI and ML are not just about creating models, they’re about constructing integrated solutions. By Yuval Fernbach ...

In more unconventional domains like chaos-based secure optical communication and photonic reservoir computing, ML enables the ...

Here, we developed interpretable machine learning models that can classify uranium minerals by secondary oxyanion chemistry and other physicochemical properties based solely on Raman spectra. This new ...

Machine learning has become an essential tool for many industries looking to harness the power of artificial intelligence. However, getting machine learning models from experimental phases to ...

The researchers created four machine learning (ML) models to predict storm surges, significantly improving forecasting accuracy when integrated with the Finite Volume Community Ocean Model (FVCOM-ML).

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

The integration of data science into electrocatalysis has significantly advanced the discovery of high-performance catalysts ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...

Given the multitude of conditions that must be optimized in synthesis routes, chemical synthesis remains a complex and ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...