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.

Meta flags a Sev 1 incident after an AI agent posts data on its own, raising urgent questions about control, security, and who governs AI systems.

Accurate spatiotemporal prediction is fundamentally essential for anticipating and managing the dynamic evolutions within global physical, environmental, ...

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?

This investigation was supported by the Pulitzer Center’s Artificial Intelligence Accountability Network  Investigative ...

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 ...

Ever thought what turns a good idea into a working application? The short and simple answer to this question is selecting the right framework. As Python has gained popularity among web development ...

Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

The automotive giant has made Snowflake the core of its organization-wide data mesh and is now exploring agentic technologies.

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Aible launches SafeClaw that enables long-running agents with built-in enterprise AI governance and guardrails.Aible ...