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.

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

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

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 ...

Tao said the integrated system combines the strengths of two devices in frequency generation, modulation, and in-memory ...

A review paper by scientists at Beijing Institute of Graphic Communication presented  a thorough review of the existing ...

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

Forbes contributors publish independent expert analyses and insights. Global Thought Leader in Cybersecurity and Emerging Tech Examining the mesh between humans and machines provides insight into the ...

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 ...

Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...