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 ...
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Decoding the shadows: Vehicle recognition software uncovers unusual traffic behavior
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
From Davos to Forbes, the Era of ‘Metaruptions’ Has Arrived, as Spitz’s “AAA Framework” Replaces Failing Strategy With ...
News: BioAI at India AI Impact Summit outlined how AI+biology can accelerate biomanufacturing—using genomics, in-silico design, and data loops for scale and trust.
AI can transform healthcare, but risks remain: liability, bias, blurred “wellness vs medicine,” and jagged model errors.
From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...
When it’s time to have a difficult conversation with a dying patient about whether to insert a feeding tube, Dr. Jonathan ...
Advances in quantum technology could theoretically break Bitcoin’s current cryptography, exposing vulnerable wallets, ...
At the turn of the millennium, choosing a uni was a tactile ritual. With a highlighter in hand, I relied on the "thud" of a ...
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
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