IEEE

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
IEEE

Scaling Equilibrium Propagation to Deeper Neural Network Architectures

Abstract: Equilibrium propagation has been proposed as a biologically plausible alternative to the backpropagation algorithm. The local nature of gradient computations, combined with the use of ...
TMCnet

MicroAlgo Inc. Develops Quantum Algorithm Technology for Feedforward Neural Networks to Drive Neural Network Revolution

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
The Motley Fool

3 Artificial Intelligence (AI) Stocks That Actually Benefit From Google's TurboQuant Breakthrough

The stage is finally set in a way that favors Qualcomm's core competency. AI platforms may now need less memory, but with more affordable total computing potential now on the table, the need for data ...
Yardbarker

Martin Brundle Pushes Back As F1 Edges Toward An Algorithm‑Driven Future

Formula 1 is heading toward a rules package that will reshape the series, and the reaction inside the paddock is getting sharper by the week. The FIA wants lighter cars, lower drag, and a hybrid ...