Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

The neuromorphic computing market is set for significant growth, driven by demand in AI, robotics, and energy-efficient ...

Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...

(Nanowerk News) A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it. This device, called a memristor, could serve as the basis ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

Seoul National University College of Engineering has announced that a research team led by Professor Ho Won Jang from the Department of Materials Science and Engineering has developed neuromorphic ...

A new technical paper titled “Fast prototyping of memristors for ReRAMs and neuromorphic computing” was published by ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

A new neuromorphic chip has shown it can perform continuous voice activity detection while using extremely low power, ...

BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...