Graphics processing units (GPUs), the expensive computer chips made by companies like Nvidia, AMD, and Sima.ai, are no longer the only way to train and deploy artificial intelligence. Biological Black ...
TL;DR: Research in both biocomputing and neuromorphic computing may hold the key to better computer energy efficiency. By drawing inspiration from nature's own efficient systems, such as the human ...
At the core of the initiative is the CL1 biological computer developed by Cortical Labs, an Australian biotechnology company.
Cerebellar granule cell and its response to a pair of 50-Hz stimuli. (A) Biological neuron. (B) Computational model used for simulation. (C) Simulated neuron. (D) Electronic neuron. The biological ...
For decades, AI has run on silicon–a given that few have questioned or tried to challenge. However, one startup believes the future of computing might be grown in a dish and not manufactured in a lab.
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