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

As we've seen, the AI and data center industry is rapidly developing and that development is characterized by flux, speed, and very rapid change. With the trends discussed previously in mind, my hope ...

The president’s approval ratings are plummeting and most Americans see him as an aberration. It is now up to them to curtail his despotic reign Donald Trump is a monster, and a stupid one at that – as ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

When Alan Turing asked in 1950, “Can machines think?“, he was not trying to settle a philosophical argument. He was trying to ...

In 2006, Paul Ferraro and Subhrendu Pattanayak issued an urgent warning: conservation lacked the causal evidence needed to ...

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 ...

When AI reasons across systems, static permissions fail and intent becomes the real attack surface.

Here's the case for constraint-aware intelligence in the AI 2.0 era.

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

Talking to yourself feels deeply human. Inner speech helps you plan, reflect, and solve problems without saying a word.