dailyai.report

Professor Lizy K. John developed weightless neural networks that replace traditional multiplication with binary lookup tables. These models can run 1,000 times faster or smaller than conventional architectures depending on the task. By bypassing heavy arithmetic, this approach reduces the energy required for inference. It offers a leaner alternative for deploying AI on constrained hardware.