As enterprises pour billions into generative AI with limited measurable return, Quarrio has launched its Deterministic AI Platform, ...

Examines AI-driven threats, the collapse of old security models, and how deterministic boundaries, zero trust, and resilient ...

Most teams can get an AI agent to look impressive in a demo. The hard part is shipping an agent that stays reliable once it’s exposed to real users, messy data and changing systems.

ServiceNow has released a new AI tool to help human workers, and is readying their replacement, the Autonomous Workforce, for ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Regulatory pressure is no longer limited to a single geography or industry. Enterprises must simultaneously address GDPR, ...

“Testing and control sit at the center of how complex hardware is developed and deployed, but the tools supporting that work haven’t kept pace with system complexity,” said Revel founder and CEO Scott ...

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

A typical dilemma is a choice between two options. However, today’s innovators and CIOs face a different challenge of dealing with both probabilistic and deterministic code, not separately, but ...

Alex Holmes considers how to identify predictions worth taking notice of, as well as the art of making sound predictions.

The majority of agentic AI systems disclose nothing about what safety testing, and many systems have no documented way to shut down a rogue bot, a study by MIT found.

Discover how artificial intelligence is disrupting traditional market research, shifting from surveys and focus groups to ...