First author Canyu Chen led a multi-institution research team in developing a scalable approach to training AI agents without sacrificing users’ data privacy.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

SHANNON, CLARE, IRELAND, February 27, 2026 /EINPresswire.com/ -- Announcing a new publication from Opto-Electronic ...

London-based autonomous driving company Wayve, co-founded by New Zealand engineering graduate Alex Kendall, has secured $1.5 billion to accelerate the ...

McGill University researchers, publishing in Communications Earth & Environment, used deep-learning computer vision to analyze 719 solar projects across the Western U.S. The study establishes a new ...

New computer vision feature automatically evaluates property condition to help investors make data-driven decisions. By ...

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Perplexity has introduced “Computer,” a new tool that allows users to assign tasks and see them carried out by a system that coordinates multiple agents running various models.

As solar energy is rapidly becoming the world's largest renewable power source, new research from McGill University offers a ...

Deep Learning for Computer Vision is a community-driven open-source initiative designed to create an accessible, structured, and comprehensive resource for students, researchers, and practitioners ...