Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...

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 ...

Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...

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 ...

Large scale datasets and information processing requirements, within complex environments, are continuously reaching unprecedented levels of sophistication, especially in the advent of artificial ...

Aston University to lead the UK’s new centre to pioneer brain-inspired, energy-efficient computing technologies The initiative will receive £5.6 million over four years from the Engineering and ...

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

Cory Merkel, assistant professor of computer engineering at Rochester Institute of Technology, will represent the university as one of five collegiate partners in the new Center of Neuromorphic ...

A recent study published in npj 2D Materials and Applications explores hexagonal boron nitride (h-BN) atomristors, highlighting their notable memory window, low leakage current, and minimal power ...