Tech & Engineering
Updates every hour. Last Updated: 16-Dec-2025 00:11 ET (16-Dec-2025 05:11 GMT/UTC)
Anna Nagurney honored with 2025 INFORMS President’s Award
Institute for Operations Research and the Management SciencesGrant and Award Announcement
Breast cancer and autism: Visualization of the oxytocin receptor enables new theranostic approaches
University of ViennaPeer-Reviewed Publication
- Journal
- Angewandte Chemie International Edition
INFORMS names 12 Leaders and Innovators in Operations Research and Analytics for Class of 2025 Fellows
Institute for Operations Research and the Management SciencesGrant and Award Announcement
INFORMS, the world’s largest association for professionals and students in operations research (O.R.), AI, analytics and data science, has named 12 distinguished leaders as 2025 INFORMS Fellows, one of the highest professional honors in operations research, analytics and AI.
Collectively, this year’s Fellows represent trailblazing contributions in academia and industry and have advanced breakthroughs in artificial intelligence, supply chain resilience, clean energy, healthcare delivery and transportation systems, while also shaping the next generation of talent and serving as trusted advisors to organizations worldwide.
Chatbots the new ‘doc?’ FAU researchers explore AI in health behavior coaching
Florida Atlantic UniversityPeer-Reviewed Publication
Changing habits like quitting smoking or managing stress is hard – but crucial. Motivational interviewing (MI), a proven counseling method that sparks internal motivation, works well but isn’t widely used due to time and training demands. Now, AI tools like ChatGPT are stepping in, simulating MI conversations anytime, anywhere. A new review shows these tools are promising and well-received, but questions remain: Do they truly reflect MI’s core principles? Can they drive real, lasting change? The answer could reshape digital health interventions.
- Journal
- Journal of Medical Internet Research
New AI enhances the view inside fusion energy systems
Princeton UniversityPeer-Reviewed Publication
- Journal
- Nature Communications
- Funder
- DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, National Research Foundation of Korea, Princeton Laboratory for Artificial Intelligence
AI-powered oil spill prediction system improves accuracy by up to 25%, with significant potential to enhance emergency response.
CMCC Foundation - Euro-Mediterranean Center on Climate ChangePeer-Reviewed Publication
A new study, led by CMCC researchers, significantly improves oil spill trajectory predictions by integrating artificial intelligence with traditional numerical ocean models. The research shows how to obtain more accurate and timely forecasts, enabling faster analyses and scenario testing, which could be a crucial development for emergency response efforts.
- Journal
- Ecological Informatics