GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.

Abstract: The integration of artificial intelligence (AI) into education is rapidly transforming teaching practices across various subjects, including mathematics. However, research specifically ...

Explore the mathematical breakthrough that started artificial intelligence and laid the foundation for modern machine learning and intelligent systems. This video explains the key ideas behind the ...

Neurons are the specialized cells that allow our bodies to transmit impulses, like factories that process inputs. They send signals that help us catch a ball, recognize a favorite song or pull our ...

Alphabet Inc.’s Google debuted an updated version of its artificial intelligence model, Gemini, that executives said represents a “massive jump” in reasoning and coding ability. The new model, Gemini ...

Creating a virtual brain may sound like a science-fiction nightmare, but for neuroscientists in Japan and at Seattle’s Allen Institute, it’s a big step toward a long-held dream. They say their ...

1 Department of Mathematics Education, Faculty of Education, Bursa Uludağ University, Bursa, Türkiye 2 Department of Mathematics Education, Faculty of Education, Kocaeli University, Kocaeli, Türkiye ...

Most people wouldn’t give Geobacter sulfurreducens a second look. The bacteria was first discovered in a ditch in rural Oklahoma. But the lowly microbe has a superpower. It grows protein nanotubes ...

Built of low-powered protein nanowires, made from bacteria, these neurons open the door to vastly more efficient, bio-inspired computers. (Nanowerk News) A team of engineers at the University of ...

The experiment marks a turning point in neuromorphic engineering, bringing synthetic neurons closer than ever to imitating their biological counterparts in both structure and function. This ...