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 ...

Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...

For quantum computing to reach the point where it is fault-tolerant, scalable, and commercially viable, it’s going to be with ...

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

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 ...

The final round of AI Madness 2026 is here. We pitted ChatGPT against Claude in 7 brutal, real-world benchmarks — from senior ...

Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

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

Purdue University’s Artificial Intelligence Microcredentials offer quick and convenient online courses that cover the fundamentals of artificial intelligence and its applications. Every course ...

Life moves in mysterious ways—and perhaps especially so for organisms that undergo dramatic shifts in levels of ...