1.9k citations · 4k across the 11 of their papers we have counts for
12 papers
Roadmap to Neuromorphic Computing with Emerging Technologies
Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…
Emergent self-adaptation in an integrated photonic neural network for backpropagation-free learning
Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff-Plückelmann +4
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn,…
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…
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…
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +4
Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated circuits have enabled ult…