The world today is marked by paradox. Never before has humanity possessed such extraordinary scientific knowledge, ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

In The Physics Teacher, a physics professor-turned-AI-researcher explores the uses of generative AI to teach physical science. Gerd Kortemeyer compares the constantly increasing physics capabilities ...

Abstract: The importance of visual abstract reasoning problems in the field of image processing cannot be overstated. Both Bongard-Logo problems and Raven’s progressive matrices (RPM) belong to the ...

Large reasoning models often show counterintuitive behavior, putting more computational effort into simple tasks than difficult ones while producing worse results overall. Researchers have established ...

According to @godofprompt on Twitter, Tree of Thoughts (ToT) is an advanced AI reasoning method that allows models to explore multiple problem-solving paths simultaneously, rather than following a ...

It's not news to anyone that there are concerns about AI’s rising energy bill. But a new analysis shows the latest reasoning models are substantially more energy intensive than previous generations, ...

In this tutorial, we build an advanced meta-cognitive control agent that learns how to regulate its own depth of thinking. We treat reasoning as a spectrum, ranging from fast heuristics to deep ...

Ready to unlock your full math potential? 🎓Subscribe for clear, fun, and easy-to-follow lessons that will boost your skills, build your confidence, and help you master math like a genius—one step at ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

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