Date: 27/04/2025

IEEE study: Silicon photonic AI accelerators utilizing ONNs for scalable and sustainable AI hardware

A study published in the IEEE Journal of Selected Topics in Quantum Electronics describes a new AI acceleration platform using photonic integrated circuits (PICs). Led by Dr. Bassem Tossoun of Hewlett Packard Labs, the research focuses on improving scalability and energy efficiency for AI workloads compared to GPU-based systems.

AI systems, driven by deep learning and large datasets, require significant computational power. Current GPU-based infrastructure faces challenges with energy consumption and scalability. The study introduces a platform based on optical neural networks (ONNs), which use light to process data, reducing energy loss compared to electronic distributed neural networks (DNNs).

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