Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
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 ...
Morning Overview on MSN
Machine learning is turbocharging cheap lithium-ion battery design
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
Informed Solutions has worked with the National Police Coordination Centre (NPoCC) to enhance its national Mercury mutual aid platform ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Tech Xplore on MSN
Why metal microstructures matter: AI pinpoints stress hotspots to guide safer designs
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
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 ...
SPARC AI Overwatch is designed to operate across drone manufacturers and IMU configurations. SPARC AI is a software intelligence layer that makes low-cost sensors behave like higher-grade systems, ...
In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like ...
Most people use AI wrong, says Amazon's former AWS head Allie K. Miller. Discover the super user strategies that Fortune 500 ...
Company collaborating with third parties using "proprietary artificial intelligence and machine learning technologies to identify nonspecific responses and understand and predict susceptibility to ...
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