Edge AIChips & modules

Sparse neural processors for ultra-low-power speech and audio in hearing and voice devices

Femtosense designs AI processors that exploit sparsity in neural networks to cut power and memory use. Its SPU-001 chip runs speech enhancement, noise suppression and keyword spotting in hearing aids, earbuds and voice-controlled appliances while consuming well under a milliwatt. The company provides a compiler that prunes and quantizes models from PyTorch for its architecture, and it works with consumer electronics and medical device manufacturers.

Profile added on October 17, 2026 from the company's official site; products, pricing and limits have not been verified yet. Spotted an error? Tell us or see the editorial policy.

Focus: sparse ai processors, audio ai.

Tags: sparse ai · speech enhancement · hearing aids · voice · tinyml

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