학술논문

Motivation and Challenges for Applying Photonic Neuromorphic Computing Technologies
Document Type
Conference
Source
2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC), 2023 Conference on. :1-1 Jun, 2023
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Training
Economics
Quantum computing
Neuromorphic engineering
Neural networks
Europe
Computer architecture
Language
ISSN
2833-1052
Abstract
Artificial intelligence is playing an increasingly important role. The recent announcement of ChatGPT [1] and the following discussion on its economic impact is clearly demonstrating this. ChatGPT is based on the GPT-3 neural network; an architecture with over 100 billion parameters. The training and execution of networks with so many parameters are taking a large amount of energy [2], it is hence of utmost importance to explore new concepts and hardware that can make the important operations in neural networks more power efficient.