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IEEE Study Leverages Silicon Photonics for Scalable and Sustainable AI Hardware

IEEE Study Leverages Silicon Photonics for Scalable and Sustainable AI Hardware

April 14, 2025: Photonics Revolutionizes AI Hardware Efficiency - A recent IEEE study presents a novel AI acceleration platform using photonic integrated circuits (PICs), demonstrating improvements in scalability and energy efficiency compared to GPU-based architectures. Led by Dr. Bassem Tossoun, the research integrates III-V compound semiconductors with silicon photonics to create optical neural networks operating at light speed.

This innovative approach addresses AI infrastructure challenges, promoting sustainable and powerful AI processing in datacenters. The photonic platform's wafer-scale integration promises to enhance AI workload capabilities, marking a transformative step in AI hardware development.

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