DUET is a photonic tensor core paradigm that uses structural symmetry in VODICs to support arbitrary signed operands directly, experimentally tested on image classification, segmentation, and Transformer tasks.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Broadcast RF signals enable remote, frequency-selective programming of weights in spintronic MTJ chains, allowing the same network hardware to be reconfigured for two different classification tasks with task-specific high accuracy.
A review of integrated photonic computing that organizes low- to high-dimensional architectures and argues that exploiting light's full dimensionality offers a path to scalable, energy-efficient information processing.
citing papers explorer
-
General-Purpose Photonic Computing Primitive for Contemporary Artificial Intelligence
DUET is a photonic tensor core paradigm that uses structural symmetry in VODICs to support arbitrary signed operands directly, experimentally tested on image classification, segmentation, and Transformer tasks.
-
Remotely programming the weights of a spintronic neural network by a radiofrequency broadcast signal
Broadcast RF signals enable remote, frequency-selective programming of weights in spintronic MTJ chains, allowing the same network hardware to be reconfigured for two different classification tasks with task-specific high accuracy.
-
Integrated photonic computing: towards high-dimensional information processing
A review of integrated photonic computing that organizes low- to high-dimensional architectures and argues that exploiting light's full dimensionality offers a path to scalable, energy-efficient information processing.