Data quality and interoperability become critical enablers. Agentic systems rely on timely, accurate information from across ...

While observing the rapid evolution of medical tourism, the Liv model warrants a closer look. It offers a useful reference ...

Learn about model risk, its causes, management strategies, and real-world examples from financial industry pitfalls. Unlock insights to reduce risk and enhance decision-making.

AI agents have emerged from the lab, bringing promise and peril. A Carnegie Mellon University researcher explains what's ...

AI leaders clash over AGI, with Hassabis calling the brain an approximate Turing machine, helping you grasp real design goals ...

A Universal, Mechanistic, and Testable Framework for Measuring Alignment, Coherence, and Consequence Across Human Behavior and social Structures The Law of Alignment measures reality, not intention.

Batchelor’s latest book is “Buddha, Socrates and Us: Ethical Living in Uncertain Times.” There he draws on a different ...

Taken together, these signals suggest one thing: we may be closer to AGI—and to systems capable of passing the Turing ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

Expect 2026 to see generative AI become integral across a host of document-related litigation workflows, including issues ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The companies that will define the next phase of AI are the ones already—without prompting from policymakers—building ...