The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and interact with the world.
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
4don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
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