Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

In 2025, my team within the Soldier Evaluation Directorate won the U.S. Army Test and Evaluation Command (ATEC)’s AI Challenge with a tool that could ...

Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

Microsoft introduces Zero Trust for AI, adding a new AI pillar to its workshop, enhanced reference architecture, a new assessment tool, and practical guidance.

AI is transforming how we think and work—but at a cognitive cost. This piece explores “AI brain fry,” the pressures driving it, and how we can protect focus, clarity, and well-being.

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Here are the 7 vital process steps or phases that need to be followed when crafting new AI laws. Lawmakers should proceed on ...

One of the strongest observations in the report relates to the Ministry’s budget formulation and expenditure management.

AI social networks are where agents can compound their capabilities and coordinate at scale—and in which humans can lose control.

Policymakers and lawmakers keep making five major blunders when crafting new AI laws. I identify and explain the blunders.

Generative AI could be part of this continuum. It introduces a new form of linguistic mediation: dialoguing with a machine ...