While the CTM shows strong promise, it is still primarily a research architecture and is not yet production-ready out of the ...

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

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

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 ...

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

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components ...

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

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

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).

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

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 ...