The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud ...
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...
AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...