Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

Once a buzzword, the "digital middle platform" is now mired in what Gartner calls the "trough of disillusionment" —data keeps ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

Ahead of the sale of a Robert Alice NFT painting at Sotheby's New York, Smith discusses his support for bitcoin and ...

Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

This study introduces an innovative cloud-based Genome-Wide Association Study (GWAS) platform​that addresses critical ...

Kajal Sheth, Staff Engineer at Reactivate, discusses how engineering, data science, and AI are converging to shape the future of community solar and enhance clean energy resilience in the U.S.

Study finds protein traits and CHO-cell gene programs drive therapeutic protein yields, guiding biomanufacturing.

This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...