Enhancing machine-learning interatomic potentials for advanced materials modeling

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

Nvidia fills the void of American open-weights models with some of its own

Open-weights models are nothing new for Nvidia — most of the company's headcount is composed of software engineers. However, ...
Analytics Insight

Applying Machine Learning To Secure, Auditable In-Car Delivery

In last-mile delivery, the critical operations occur within minutes of package handoff. Modern vehicles, continuously ...

AWS simplifies AI agent customization with automated reinforcement learning

A similar update is coming to Amazon SageMaker AI, which is a more advanced AI machine learning platform that allows ...

Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
Resumé

Machine Learning Engineer for Multiverse Computing

International exposure in a multicultural, cutting-edge environment. Design and develop new techniques to compress Large ...

Cerebras Delivers End-to-End Training and Inference for Jais 2, the World's Leading Open Arabic LLM

Trained on the industry's largest, highest-quality Arabic-first dataset, Jais 2 sets new standards for accuracy, fluency, and cultural intelligence ...
Tech Xplore on MSN

New software could reduce dependency on big data centers for AI

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...