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 ...

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, ...

Scientists are investigating how certain chemical compounds could form a bridge between traditional electronics and brain ...

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 ...

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 ...

The demand for high-performance, energy-efficient computing hardware is growing rapidly, particularly in fields such as artificial intelligence and neuromorphic computing. Researchers have now ...

Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the same structure. The breakthrough comes from precise chemical design that ...

A review paper by scientists at Beijing Institute of Graphic Communication presented  a thorough review of the existing research landscape, encapsulating the notable progress in swiftly expanding ...

A recent review in npj 2D Materials and Applications explores how two-dimensional (2D) materials are shaping the development of neuromorphic and artificial sensory devices. With properties that mimic ...

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 ...