1.7k citations · 1.7k across the 3 of their papers we have counts for
5 papers · 1 filter
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…
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…