Sound Waves Give Neuromorphic Chips a Brain-Simulating Edge

IEEE Spectrum AI · 4 weeks ago

Researchers developed an acoustic synapse using sound waves and phase bits to create neuromorphic hardware that mimics biological neurons more closely than electronic alternatives. The device achieved 96.7 percent accuracy on iris flower classification using 39 parameters and 20 percent faster than conventional neural networks while consuming one-tenth the power of current electronic neuromorphic hardware. This approach enables more compact and energy-efficient neuromorphic systems capable of mimicking neuromodulation and handling complex pattern recognition tasks with simpler designs.