In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Updated funding amount SANTA CLARA, CA / ACCESS Newswire / February 4, 2026 / Expert Intelligence™, a startup building AI systems that automate expert decision-making in regulated laboratory ...

New Mexico Tech is embracing artificial intelligence, launching a new initiative called the Institute for AI. “I think we’re ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

By merging telemetry data with machine learning, the advanced software platform detects issues early, reducing downtime and ...