Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

As organizations scramble to enact agentic AI solutions, accessing proprietary data from all the nooks and crannies will be key By now, most organizations have heard of agentic AI, which are systems ...

A member of OpenAI’s 11-person founding team, Karpathy focused on generative modeling, computer vision and reinforcement ...

Context engineering is quickly becoming the backbone of modern artificial intelligence as organizations push for systems that stay accurate, grounded and predictable while handling increasingly ...

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Enterprise AI has crossed a critical threshold. AI systems are no longer limited to recommending actions or generating insights. Increasingly, they are taking actions—approving refunds, initiating ...

This is the problem Agentic Fabriq, founded by CEO Paulina Xu and CTO Matthew Xu, is working to solve. The company positions ...

Agentic AI workflows demand proof that endures when novelty fades and scrutiny increases. Leaders are not asking whether an ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated agentic AI into computational fluid dynamics (CFD) to optimize the aerospace ...

Microsoft has acquired Osmos to bring autonomous, agentic data engineering into Microsoft Fabric. Osmos technology automates data preparation and transformation within Fabric workflows. The ...