Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

There are many non-volatile memory technologies in use; RRAM is another option — maybe. Random access memory (RAM), sometimes called by a more descriptive name of read/write (R/W) memory, is critical ...

The latest research progress in the field of MXene-based neuromorphic computing is reviewed. The design strategy of MXene-based neuromorphic devices encompasses multiple factors are summarized, ...

The Semiconductor Device Research Laboratory (SDRL) is working on manufacturing semiconductors in space and using memory technology based on the mechanisms of the brain. The SDRL is researching how to ...

Abstract: Gradually switching resistive random access memory (RRAM) enables brain-like behaviour that can be exploited in novel neuromorphic computing architectures. In this letter, we demonstrate ...

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Robotic controls started with simplistic direct-current motors. Engineers had limited mobility because they had few feedback mechanisms. Now, neuromorphic chips are entering the field, mimicking the ...

Motion analysis device developer dorsaVi (ASX: DVL) has delivered its resistive random-access memory (RRAM)-powered sensor systems to Singapore for comprehensive testing in real-world biomedical ...

Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...

Our latest and most advanced technologies — from AI to Industrial IoT, advanced robotics, and self-driving cars — share serious problems: massive energy consumption, limited on-edge capabilities, ...