Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...

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

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 ...

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

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).

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

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

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

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