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 ...

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, ...

US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

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 ...

(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 ...

A computer that uses electronic synapses made of terminals with a top electrode (TE), dielectric layer (DL), and bottom electrode (BE) can emulate the human brain. A neural network using these ...

Researchers at the Indian Institute of Science have created adaptable molecular devices that can function as memory units, logic gates, processors, or electronic synapses.

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 ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive ...