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(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...
India's Global Capability Centers (GCCs) are evolving from cost-saving back offices to innovation hubs, driving global ...
On the first day of a three-day snowmobile expedition across Svalbard, I learned that operating the machine involves just ...
I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training like ranges, land ...
Autonomous AI tools have great potential in supporting precision medicine, but developers are still figuring out how to deploy them in patient care.
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Why machines struggle with the unknown: Exploring the gap in human and AI learning
How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
Bielefeld researchers analyze in Nature Machine Intelligence how humans and AI systems learn new things and what this means for the future of Artificial Intelligence.
Hassabis, a neuroscientist recognized for his groundbreaking work on AI-driven protein folding models, pointed to the growing need for individuals to master the process of learning itself.
For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...
At the recent 2025 Bund Conference's sub-forum on "The Evolution of the Era of Intelligent Agents," Liu Zhiyuan, a long-term associate professor at Tsinghua University and chief scientist at Wemi ...
With AI data centres set to consume 3% of global power by 2030, Dassault Systèmes and partners like QCT focus on efficiency ...
The "Global Photonic Quantum Computing Market 2026-2036" report has been added to ResearchAndMarkets.com's offering.The global photonic quantum computing market represents one of the most promising ...
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