A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

And the race is centered on one idea: transformer-based architecture with large language models are the key to winning the AI ...

Critics of early advanced learning often argue that children lack the maturity, ethical grounding, or depth to ...

In an age where generative artificial intelligence is transforming industries, the education systems of most developing countries remain trapped in an outdated, industrial-age framework.The ...

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

As enrollment numbers for the introductory chemistry and physics courses reach around 600 students each this semester, the ...

The 'Delethink' environment trains LLMs to reason in fixed-size chunks, breaking the quadratic scaling problem that has made long-chain-of-thought tasks prohibitively expensive.

Coupled with the rapidly emerging technology of quantum computing, advancements in weather prediction will greatly benefit ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...