Researchers in Japan have trained rat neurons to perform real-time machine learning tasks, moving computing into biological territory. The system uses cultured neurons connected to hardware to ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.

At the core of these advancements lies the concept of tokenization — a fundamental process that dictates how user inputs are interpreted, processed and ultimately billed. Understanding tokenization is ...

For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...

Want to learn machine learning from scratch? These beginner-friendly courses can kickstart your career in AI and data science ...

The phase of cortical activity, measured in the gray matter, is organized at multiple spatial scales, with the largest scales explaining most variance in phase at a given temporal frequency.

Congress passed the Take It Down Act in 2024, protecting victims of deepfake revenge pornography. Now, Germany is considering ...