MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

In peer-reviewed research using MedAgentBench, an independent benchmark for clinical AI agents published in NEJM AI, ...

An international group of quantum researchers demonstrated how machine learning may be used to filter a nearly endless number ...

IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...

A study led by Georgia Institute of Technology's Associate Professor Costas Arvanitis takes a major step toward safer and more effective treatment and diagnosis of brain diseases. His team's research, ...

This repository hosts the open sources of the Neo4j Graph Data Science (GDS) library. The GDS library is a plugin for the Neo4j graph database. GDS comprises graph algorithms, graph transformations, ...

Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, 422 Siming South Road, Siming District, Xiamen, Fujian 361005, China ...

I work in statistical machine learning theory which aims to understand performance limits in various problems of modern interest, and pinpoint beneficial aspects of data that ML procedures might ...

Objective: This study aimed to utilize machine learning to identify coronary angiographic vascular characteristics and PCI procedures associated with the immediate procedural success rates of PCI in ...

A partial or complete ACL tear in the knee is a common injury among athletes. The discussion below provides an overview of anterior cruciate ligament (ACL) surgical reconstruction and repair in adults ...