By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...
The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...
A survey of over 1,000 enterprises conducted by S&P Global Market Intelligence in 2025 revealed that 42% of companies ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron densities By applying new methods of machine learning in quantum chemistry ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...
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Neel Somani on formal methods and the future of machine learning safety
Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...
Advanced forecasting tools are already improving solar and demand predictions by over 30%,' writes Schneider Electric's Frédéric Godemel.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development. For several decades now, the most innovative ...
In a way, that’s exactly what she studies. A heliophysicist at NASA’s Goddard Space Flight Center, MacDonald, working remotely in Walla Walla, has spent her career chasing the mysteries behind the ...
Researchers have proposed a new ethical framework to regulate emerging technologies, such as artificial intelligence and ...
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