Spiking Neural Networks Place Data In Time

Artificial neural networks have found a variety of commercial applications, from facial recognition to recommendation engines. Compute-in-memory accelerators seek to improve the computational efficiency of these networks by helping to overcome the von Neumann bottleneck. But the success of artificial neural networks also highlights their inadequacies. They replicate only a small subset of th... » read more

Comparative Stochastic Process Variation Bands For N7, N5, And N3 At EUV

By Alessandro Vaglio Preta, Trey Gravesa, David Blankenshipa, Kunlun Baib, Stewart Robertsona, Peter De Bisschopc, John J. Biaforea a) KLA-Tencor Corporation, Austin, TX 78759, U.S.A. b) KLA-Tencor Corporation, Milpitas, CA 95035, U.S.A. c) IMEC, Kapeldreef 75, 3000, BE ABSTRACT Stochastics effects are the ultimate limiter of optical lithography technology and are a major concern for n... » read more