The use of artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT and various other online platforms, has grown exponentially over the past few years. Current ...

New memristor-based artificial neurons emit light to enable denser, more efficient 3D AI chips, pointing to a future beyond ...

A research team led by Massachusetts University has integrated a touch sensor with a memristor for a device that only only ...

The idea of a living organism replacing a silicon chip inevitably evokes science-fiction scenarios. However, a recent study ...

As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...

The ubiquity of smart devices—not just phones and watches, but lights, refrigerators, doorbells and more, all constantly ...

Chinese researchers harness probabilistic updates on memristor hardware to slash AI training energy use by orders of magnitude, paving the way for ultra-efficient electronics.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

Ag/Sb2O3/Au molecular-crystal memristor array with brain-inspired computing capabilities, designed to accelerate electric grid inspections while dramatically reducing energy consumption. The devices ...

From the in your tea to the in your veins, materials all around you have a hidden talent. Some of these substances, when engineered in specific ways, can act as memristors—electrical components that ...

Researchers achieved wafer-scale, 95% yield memristor circuits, unlocking new potential for dense, efficient AI chips modeled on the human brain. The figure shows how researchers built and tested a ...