Ai2's new Olmo 3.1 extends reinforcement learning training for stronger reasoning benchmarks

Ai2 updates its Olmo 3 family of models to Olmo 3.1 following additional extended RL training to boost performance.

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Frontiers

Machine learning-based coronary heart disease diagnosis model for type 2 diabetes patients

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...
Frontiers

Editorial: Training in sports: the role of artificial intelligence and machine learning

Artificial Intelligence (AI) and Machine Learning (ML) have permeated nearly all sectors of society, and Sport Sciences are no exception. Public discourse about AI tends to be polarized, portraying it ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
IEEE

TMT-FL: Enabling Trustworthy Model Training of Federated Learning With Malicious Participants

Abstract: Federated learning is a widely used method for collaborative machine learning without sharing local data. In this approach, participants train models using their local data, and the model ...
marktechpost

Attention Transfer: A Novel Machine Learning Approach for Efficient Vision Transformer Pre-Training and Fine-Tuning

Vision Transformers (ViTs) have revolutionized computer vision by offering an innovative architecture that uses self-attention mechanisms to process image data. Unlike Convolutional Neural Networks ...