Sound Waves Give Neuromorphic Chips an Edge in Mimicking the Brain

A new study suggests that using sound waves in neuromorphic devices can better mimic biological neurons, operating faster and with greater energy efficiency than electronic counterparts. The acoustic synapse developed by researchers uses multiple phi-bits to perform simultaneous computations, achieving 96.7% accuracy in flower classification while consuming at most one-tenth the power of state-of-the-art electronic neuromorphic hardware.

Университет Аризоны

AI Creates Radio Chip Designs That Humans Couldn't Even Imagine

Princeton researchers use reinforcement learning and diffusion models to design radio-frequency integrated circuits (RFICs) from scratch, achieving record performance in a fraction of the time. The AI-generated layouts are often unrecognizable to human designers but outperform state-of-the-art chips.

Princeton University (Sengupta Lab)