Imagine harnessing the speed of light to power neural networks! At the CLEVER Project, we’re breaking barriers with Optical Convolutional Neural Networks (OCNNs)—a groundbreaking approach to solving the limitations of traditional electronic CNNs.
🔍 Why OCNNs?
- Energy Efficiency: Optical convolution operations consume constant power, regardless of input size.
- Speed: Computing at the speed of light drastically reduces latency.
- Scalability: No matter the size of input or kernel matrices, complexity scales as O(1)O(1).
💡 Our Vision:
TUE is leading the charge by implementing OCNNs using Free-Space Optics (FSO), leveraging Fourier Optics for unparalleled parallel processing. We’re developing electro-optical modules to seamlessly integrate with accelerators like Innatera’s hardware, setting the stage for hybrid edge-AI solutions.
🌱 Real-World Impact:
- Smart Agriculture: Boosting eco-farm yields with intelligent image processing.
- Augmented Reality: Enhancing shopping experiences with lightning-fast computations.
🔧 Next Steps:
- Build a fully operational OCNN setup for image classification.
- Explore Optical Deep Neural Networks (ODNNs) for advanced applications.
- Validate our solutions with offline data processing from CLEVER’s use cases.
The CLEVER Project is redefining AI computation—making it faster, smarter, and greener.
📌 Stay updated with #CLEVERProject for more innovations!