1.9k citations · 2.1k across the 6 of their papers we have counts for
6 papers
In-memory photonic dot-product engine with electrically programmable weight banks
Wen Zhou, Bowei Dong, Nikolaos Farmakidis +7
Electronically reprogrammable photonic circuits based on phase-change chalcogenides present an avenue to resolve the von-Neumann bottleneck; however, implementation of such hybrid…
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…
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…
Non-volatile silicon photonic memory with more than 4-bit per cell capability
Xuan Li, Nathan Youngblood, C. David Wright +2
We present the first demonstration of an integrated photonic phase-change memory using GeSbTe-225 on silicon-on-insulator and demonstrate reliable multilevel operation with a singl…
Plasmonic nanogap enhanced phase change devices with dual electrical-optical functionality
Nikolaos Farmakidis, Nathan Youngblood, Xuan Li +6
Modern-day computers use electrical signaling for processing and storing data which is bandwidth limited and power-hungry. These limitations are bypassed in the field of communicat…