1.9k citations · 1.9k across the 4 of their papers we have counts for
4 papers
2022 Roadmap on Neuromorphic Computing and Engineering
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco +56
Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as sep…
All-optical spiking neurosynaptic networks with self-learning capabilities
J. Feldmann, N. Youngblood, C. D. Wright +2
Software-implementation, via neural networks, of brain-inspired computing approaches underlie many important modern-day computational tasks, from image processing to speech recogni…
Monadic Pavlovian associative learning in a backpropagation-free photonic network
James Y. S. Tan, Zengguang Cheng, Johannes Feldmann +6
Over a century ago, Ivan P. Pavlov, in a classic experiment, demonstrated how dogs can learn to associate a ringing bell with food, thereby causing a ring to result in salivation.…
Parallel convolution processing using an integrated photonic tensor core
Johannes Feldmann, Nathan Youngblood, Maxim Karpov +13
With the proliferation of ultra-high-speed mobile networks and internet-connected devices, along with the rise of artificial intelligence, the world is generating exponentially inc…