Research · IEEE Spectrum AI ·
Are AI Models Working Harder Than They Need to?
Researchers at the University of Texas at Austin are developing weightless neural networks that use lookup tables instead of multiplying inputs by learned weights. Early tests on tasks such as medical sensing and keyword spotting suggest comparable accuracy with potentially lower size or faster processing, though large