Once AI becomes part of the production stack, the engineers responsible for deploying it must understand more than code.

Executives warned that risks such as prompt injection, data exposure and vulnerabilities in widely used models could trigger ...

The future of software creation lies not in writing more code, but in architecting ecosystems of collaborative AI agents.

The AI era revealed that most enterprises are still wrestling with their data plumbing. IBM’s new approach to data ...

The new AI tool highlights the risk when developers point their bots at non-authoritative information sources, with ...

Opinion: Lawyers don’t need to become software engineers, but they do need to understand how AI systems behave when tasked ...

AI agents can access data directly, making data security the foundation of AI security. Learn more about how Varonis Atlas ...

AI can translate COBOL code, but that's the easy part. Here's what investors missed on Feb. 23.

Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...

The Citrini selloff wasn't panic - it was an X-ray of the tech sector A recent bombshell report on AI tech tanked shares of vulnerable software and financial services companies. Citrini Research's ...

Welcome to the stage, NVIDIA Founder and CEO, Jensen Huang. Welcome to GTC. I just want to remind you, this is a tech conference. All these people are lining up so early in the morning, all of you in ...