Light-Based Computing: A Potential Solution for Faster AI
• Researchers from Tampere University and Université Marie et Louis Pasteur discovered that light in optical fibres can perform complex AI tasks faster and more efficiently than traditional computers.
• Light-based computing uses photons, particles of light, rather than electrons, making it faster, more bandwidth-efficient, and energy-efficient.
• The study opens doors to new types of AI hardware that can be used in areas where speed and efficiency are critical.
AI Model: Image to Numbers and Back
• Researchers used an extreme learning machine (ELM) to understand the accuracy of image recognition using light properties in optical fibres.
• The ELM was more than 91% accurate at recognising handwritten digits using the optical fibre’s anomalous dispersion regime and more than 93% accuracy in the normal dispersion regime.
• The study highlights the opportunities within light-based computing with optical fibres to meet the growing demand for faster and smarter AI.
Photonic AI acceleration is important topic for Civil service exam (WBCS).
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