AI reasoning models were supposed to be the industry’s next leap, promising smarter systems able to tackle more complex problems. Now, a string of research is calling that into question. Researchers ...

Scientists rethink their ideas after experiments. AI agents struggle to learn from evidence and recognize when an idea is ...

AI reasoning models were supposed to be the industry's next leap, promising smarter systems able to tackle more complex problems and a path to superintelligence. The latest releases from the major ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...

Company says work on Paul Erdős planar unit distance problem shows advance in AI reasoning ...

NVIDIA’s GTC 2025 conference showcased significant advancements in AI reasoning models, emphasizing progress in token inference and agentic capabilities. A central highlight was the unveiling of the ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. A team ...

A team of researchers at UCL and UCLH have identified the key brain regions that are essential for logical thinking and problem solving. The findings, published in Brain, help to increase our ...

Mathematicians excel at handling complexity and uncertainty. Mathematical reasoning strategies aren't just useful for dilemmas involving numbers. We can apply math mindsets to improve our approach to ...