Volker J. Sorger
9 papers in the PaperMetrix corpus
Papers by this author
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All-optical photonic integrated neural networks: a first take (Conference Presentation)
2020
If electro-optic conversion of current photonic NNs could be postponed until the very end of the network, then the execution time is simply the photon time-of-flight delay. Here we discuss a first design and performance …
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Approximate analog computing with metatronic circuits
2021 · Communications Physics
Abstract Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on electron flows and digital …
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Photonic Machine Intelligence Hardware: From Photonic Memory and Photonic TPU to Optical CNN
2021
Here, I review our latest work on a Photonic TPU (P-TPU), a PIC-based ASIC for vector matrix multiplication acceleration and introduce a programmable multi-level non-volatile photonic random access memory (P-RAM).
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Integrated Photonic Tensor Processing Unit for a Matrix Multiply: a Review
2022 · arXiv (Cornell University)
The explosion of artificial intelligence and machine-learning algorithms, connected to the exponential growth of the exchanged data, is driving a search for novel application-specific hardware accelerators. Among the many, the photonics field appears to be …
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Reducing Latency in Sensing for Optical Convolutional Neural Network
2022 · 2022 IEEE Photonics Conference (IPC)
Effects of sensing latency in optical neural networks on system energy efficiency in an optical convolutional neural network accelerator and a methodology and subsequent results for reducing latency by optimizing the data flow in electro-optical …
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Investigating and Scale-up of Programmable On-chip Photonic Convolution Neural Networks Based on Joint Transform Correlator
2023
We design, fabricate and investigate programmable on-chip photonic convolution neural networks based on the joint transform correlator. Its scale-up prospect is also demonstrated.
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All-function Integrated Silicon Photonic Tensor Core (PTC) AI Accelerator
2023
Here we present our architecture for Silicon Photonic Tensor Core (PTC) capable of accelerating computational needs of neural networks and augmented/virtual reality applications. We present a novel fully-integrated PTC including chip-based lasers, modulators, and photodetectors.
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Silicon Photonics for Training Deep Neural Networks
2022
Analog photonic networks as deep learning hardware accelerators are trained on standard digital electronics. We propose an on-chip training of neural networks enabled by a silicon photonic architecture for parallel, efficient, and fast data operations. …
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Enhancing and up-scaling of integrated photonic 4F convolution neural networks
2024
Convolution neural networks (CNNs) have garnered significant attention in today's digital world due to their remarkable ability to analyze medical images, recognize speech, translate languages, and make intelligent decisions. However, the convolution operation, which plays …