Are AI Models Working Harder Than They Need to?

Much of modern AI runs on multiplication. Neural networks behind everything from generated answers to photo organization and song recommendations perform millions or billions of operations that multiply inputs by learned weights. Lizy K. John thinks that’s more work than the job requires. John, a professor of electrical and computer engineering at the University of Texas at Austin, has spent the past five years working on a class of models called weightless neural networks . Instead of repeatedl

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ethics.ai (30 July 2026), “Are AI Models Working Harder Than They Need to?,” evidence record 14914, https://ethics.ai/record/14914 (originally published by IEEE Spectrum).

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