Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.

DoorDash’s new tasks app pays couriers to capture real-world data for AI training, turning gig workers into key players in machine learning.

OpenAI announced Thursday that it has entered into an agreement to acquire Astral, the company behind popular open source Python development tools such as uv, Ruff, and ty, and integrate the company ...

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this technology so great, and what does the future hold for Java?

Ultralytics, the company behind the YOLO family of object detection models, today introduced Ultralytics Platform, a comprehensive end-to-end vision AI platform featuring powerful SAM-powered smart ...

Many people who try using AI are disappointed with the results and feel they can’t trust a machine – but are there lessons we can learn from how AI is taking on mathematics?

Rachael Hinkle’s work with machine learning intersects political science, legal training and computational methods.

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Microsoft’s geospatial data service is designed to help research projects using public satellite and sensor information.

The Indian Institute of Science has introduced an online course on machine learning for 6G wireless communication under its CCE programme. Running from May to July 2026, the course covers AI-driven ...