Yann LeCun's argues that there are limitations of chain-of-thought (CoT) prompting and large language model (LLM) reasoning.

Machine learning (ML) is revolutionizing industries, from healthcare to finance, and even entertainment. If you’ve ever ...

National transport company, Auswide Transport Solutions, is now manufacturing semi-trailers in-house under the brand of ATS ...

Sustainable business advisors Jenny Salpietro and Tam Hussey reflect on their recent work helping firms to deliver engaging, ...

He believes the perfect coffee should be full-bodied with good depth of flavour, but above all, all cups should be alike in ...

A Step-by-Step Guide to Trump’s Deportation Machine The machinery of mass deportation is meant to be impossible to stop. But ...

AI could help fix music licensing, according to a new guest column from Jen AI co-founder/CEO Shara Senderoff.

The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...

From growth charts to anemia thresholds, clinical standards assume a single human prototype. Why are we still using ...

Runners have two main paths to choose from when it comes to running goals: run faster or run longer. Both will make you a ...

Germany's giant spending "bazooka" to beef up its military and modernise its infrastructure passed a final hurdle Friday when ...

Since ancient times, great militaries have needed to figure out how to effectively manage manpower in the face of ...