Reflecting on a recent conversation, I was asked a deceptively simple but powerful question: “Are we building the right ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

Engineers often find that rigid guardrails block experimentation or evaluation of new services. If all deployments must pass ...

As organizations enter the next phase of AI maturity, IT leaders must step up to help turn promising pilots into scalable, ...

Pranav Prabhakar is an engineering leader with expertise in building scalable systems, deploying machine learning in ...

Is it reasonable to develop and deploy AI agents without a continuous testing strategy? Consider these test-driven approaches ...

By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new ...

You have that slide rule in the back of the closet. Maybe it was from your college days. Maybe it was your Dad’s. Honestly.

As an electrical engineer investigating early neural networks in the 1990s, I dreamed of a future where artificial ...

ORE Catapult will be developing a bespoke test methodology for the programme, with the aim of better understanding how the ...

Nuclearn believes that AI can transform the nuclear industry, not by replacing decision-makers but by freeing them from repetitive tasks.

Energy systems are incredibly complex, incorporating a dizzying array of power generators, distribution technologies and ...