The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

Zimmer said SynTuition matched expert’s PJI diagnosis 96% of the time, outperforming pooled physicians who matched experts 91% of the time.

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

U.S. scientists have discovered a hidden molecular “switch” that herpes viruses rely on to invade cells. By combining AI, ...

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...