At a hackathon over the weekend, students worked with real brain data to create new tools for brain-machine systems.

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

Why some memories persist while others vanish has fascinated scientists for more than a century. Now, new research from the ...

A new study into how different parts of memory work in the brain has shown that the same brain areas are involved in retrieving different types of information, according to researchers from the School ...

For half a century, computing advanced in a reassuring, predictable way. Transistors—devices used to switch electrical ...

Advance allows fibres to compute like chips or display information like transistors, paving the way for machine-wearable ...

Amazon is boosting its quantum computing bets with Peter DeSantis, its new leader for AI models, custom silicon (semiconductor chips) and quantum computing. DeSantis is a 27-year Amazon veteran who ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

In 2026, AIoT evolves into a decentralized ecosystem where edge intelligence and agentic AI replace cloud-centric models, ...

Semiconductor Engineering tracked 12 rounds of $100 million or more in Q4 and 11 in Q3, a significant increase from earlier ...

Asus unveiled a suite of AI-powered devices at CES 2026, aiming to integrate 'Ubiquitous AI' across its product lines. From business PCs with local AI training to creative laptops and dual-screen ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...