Скачать или смотреть Optical Neural Computers: AI That Runs on LIGHT (1000× Faster)

AI is hitting a wall — GPUs are overheating, energy costs are exploding, and scaling is slowing.
But there’s a radical new approach emerging:

AI that computes using LIGHT instead of electricity.
No resistive heating. No charge movement. No clock bottleneck.
Just photons racing through waveguides performing matrix multiplications at the speed of physics itself.

In this video, we break down:
⚡ What Optical Neural Computers are
🌈 How light performs math inside photonic chips
🚀 Why this can be 10–1000× faster & more efficient
💡 The truth behind the hype: Where it works now and where it doesn’t
🔧 The engineering challenges before it reaches your data center
🤖 The future: Hybrid GPU + Photonic accelerators powering next-gen AI models

This isn’t clickbait. The tech is real, peer-reviewed, and scaling.

If AI is going to keep growing, we will have to move beyond electrons.

Welcome to the age of optical computing.

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📚 ANNOTATED SOURCE LIST:
1. Nature (2025) — Large-scale integrated photonic accelerator achieving GHz-class MAC rates.
2. Light: Science & Applications (2022) — Comprehensive review of optical MAC architectures.
3. Science (2018) — Diffractive neural networks computing at the speed of light.
4. Nature Communications (2022) — Sub-photon-per-MAC optical inference demonstrations.
5. Cell Reports Physical Science (2023) — Phase-change materials enabling optical weight storage.
6. IEEE JLT (2019) — Neuromorphic photonic computing tutorials.


#OpticalComputing #PhotonicAI #NeuralNetworks #FutureOfAI #SiliconPhotonics #AIHardware
#LightBasedComputing #PhotonicChips #DataCenterRevolution #ArtificialIntelligence #GYANFACTSOFFICIAL
#TechExplained #QuantumTech #NextGenComputing #NeuromorphicComputing

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