CNC machining has long been the foundation of precision manufacturing, but the pace of change heading into 2026 is unlike ...

Agent experience (AX) is the new competitive advantage in the era of AI. Learn how B2Ai commerce is transforming marketing ...

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

Competitive programming has been considered as one of the strictest methods of evaluating the problem solving capabilities, ...

A new computational framework maps 3D atomic positions in amorphous materials, achieving full accuracy for silica using ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

Inside Axial Aero’s workspace, engineering diagrams, motion platforms and lines of code converge with a single aim: to recreate the realities of flight as faith ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a combination of symbolic programs and neural networks. These concepts are grounded ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

You downloaded a fitness app, followed it for two weeks, and quietly stopped opening it. Sound familiar? The problem isn't ...