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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4028794 | PMC |
| http://dx.doi.org/10.5125/jkaoms.2014.40.2.98 | DOI Listing |
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Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.
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