A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
2don MSN
Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
Astronomers at the University of Warwick have validated over 100 exoplanets, including 31 newly detected planets, using a new ...
Nvidia’s October 2025 announcement that Meta and Oracle are standardizing on its Spectrum-X Ethernet highlighted this shift. Performance in the “megacluster” era no longer hinges on how many TFLOPS a ...
Ophthalmology pioneered the clinical use of artificial intelligence (AI). Beyond automating routine tasks, including retinal ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
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