Researchers at UCLA have developed an optical generative AI model that creates images using minimal energy and computational steps.
Key Details
- 1UCLA Samueli School of Engineering introduces a photonics-based generative AI system.
- 2The optical approach generates images in a single step, compared to hundreds or thousands for digital models.
- 3Experimental and numerical tests showed high-quality image generation on datasets including human faces and Van Gogh-inspired artwork.
- 4The system incorporates a physical key-lock mechanism for enhanced image security and privacy.
- 5Potential applications identified: biomedical imaging, diagnostics, augmented/virtual reality, and portable/wearable devices.
- 6The approach significantly lowers energy and water consumption compared to conventional generative AI.
Why It Matters
This breakthrough may enable sustainable, fast, and secure generative AI with applications in medical imaging, diagnostics, and beyond. Its reduced resource requirements are particularly relevant as the environmental impact of AI computing grows.

Source
EurekAlert
Related News

•EurekAlert
AI Model Accurately Predicts Blood Loss Risk in Liposuction
A machine learning model predicts blood loss during high-volume liposuction with 94% accuracy.

•EurekAlert
AI-Driven CT Tool Predicts Cancer Spread in Oropharyngeal Tumors
Researchers have created an AI tool that uses CT imaging to predict the spread risk of oropharyngeal cancer, offering improved treatment stratification.

•EurekAlert
AI Model PRTS Predicts Spatial Transcriptomics From H&E Histology Images
Researchers developed PRTS, a deep learning model that infers single-cell spatial transcriptomics from standard H&E-stained tissue images.