Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
InfoQ

Lessons Learned From Building LinkedIn’s First Agent: Hiring Assistant

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
United States Army

Army establishes new AI, machine learning career path for officers

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...
Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
IEEE

DINA: Toward Determined In-Network Aggregation for Distributed Machine Learning

Abstract: Distributed Machine Learning (DML) utilizes parallel computation on multiple training nodes to accelerate machine learning model training. Parameter Server (PS) is a typical DML enabler and ...
Portsmouth Daily Times

How to Train a Machine Learning Model Step by Step

Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and finance to e-commerce and entertainment. But if you’re new to ML, the process ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic Potentials for Reacting Systems

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...