BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a leading developer of ultra-low-power, fully digital, event-based neuromorphic AI, today announced a strategic collaboration with ...

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A brain-inspired hardware platform could lead to the development of compact, low-power AI hardware. By mimicking how the ...

Engineers at the University of California San Diego have developed a new type of computer hardware inspired by how the human ...

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, smart home devices, and digital twin industrial sensors..

New photonic chips could improve autonomous driving technologies and enable robotic systems that learn through real-world ...

A Janus MoSSe monolayer serves as a charge-trapping layer in 2D flash memory, achieving ultrafast programming, long data ...

Klepsydra’s software framework is capable of processing up to 10x more data with 50% less power consumption. It will be integrated directly with the neuromorphic architecture of BrainChip’s Akida ...

A new technical paper, “Protonic nickelate device networks for spatiotemporal neuromorphic computing,” was published by researcher at UCSD and Rutgers University. Abstract “Computation in biological ...

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...