Brain-inspired chips
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- from Shaastra :: vol 05 issue 04 :: Apr 2026
Neuromorphic computing won't replace today's AI hardware overnight, but the pressure to find an alternative is growing.
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The growing demand for artificial intelligence (AI) is driving up the need for computational power and data processing capacity. Current computing architectures are energy-intensive. As a result, there is growing concern about AI's environmental and economic costs. Neuromorphic computing, which uses an approach inspired by the human brain, offers a potential path through the structural limitations of today's hardware.
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