The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
The algorithm doesn't care about your press release, executive title or brand legacy. It cares about consistency, signals and ...
Using commercially available technology and innovative methods, researchers at NBI have pushed the limits of how fast you can ...
The predictive model that quantifies and puts a price on marketing and public‑relations actions is transforming the sector ...
"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al ...
Field-level analysis examines how ranking algorithms shape consumer trust, visibility, and competition in local service ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...