New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Frontiers

Physics-Grounded Machine Learning Force Fields for Biomolecular Modelling: Variational, Renormalization and Effective Field Theory Approaches

Machine learning is rapidly reshaping how we model molecules, and a growing body of work suggests that neural networks are not merely statistical ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
News-Medical.Net

New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
InfoQ

Yelp Unifies ML Model Training with Training Orchestrator

Yelp has launched Training Orchestrator. This new internal framework replaces individual team Spark training scripts. Now, it ...

Thinking Machines Lab Drops Its First Model

Inkling, a 975-billion-parameter open source model, was trained to understand video and audio. It could help Thinking ...

Bridging the gap: Connecting math and AI for discovery

Some, however, find that bridging fields opens new realms of possibility. Henry Kvinge, who trained as a mathematician but ...