A linguist explains what makes human English human, and why you shouldn’t overdo it with large language models.

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

New release introduces role-based AI guardrails and mobile Easy Answers experience SAN RAMON, CA / ACCESS Newswire / ...

We are currently witnessing a mobilization of technical ambition reminiscent of the Manhattan Project, a realization that data and compute are the new defining elements of national power. I am deeply ...

Voxelmaps and NVIDIA partner to give city teams real-time 3D visibility into streets, infrastructure, and urban change ...

Franz Inc. expands graph, vector, and Neuro-Symbolic capabilities for enterprise-scale AI systems LAFAYETTE, CA, UNITED ...

Proposes Mean Time to Understand (MTU) as a core SLO for identity governance in agentic AI, reframing authorization around intent comprehension.

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

By creating and maintaining a unified metadata repository, the data foundation provides centralized governance and control ...

Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...

Many organizations have moved beyond experimenting with generative AI chatbots and are targeting agentic AI: systems that can reason, decide, and execute multi-step work with limited human ...

Prismatic™, Textology™, and Quantica™ Introduce a Front-End AI Infrastructure Layer for the Web The next evolution of ...