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

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

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

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

Agent experience (AX) is the new competitive advantage in the era of AI. Learn how B2Ai commerce is transforming marketing and what businesses must optimize now.

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.

For more than a decade, MIT Associate Professor Rafael Gómez-Bombarelli has used artificial intelligence to create new materials. As the technology ...

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

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 ...