Engineers at the University of California, San Diego have developed a lightweight optical device that utilizes artificial intelligence to correct light distortions from a single image. This innovative approach addresses the common issue of blurry images caused by lens imperfections, which affects devices from microscopes to smartphone cameras. Senior author Abdoulaye Ndao stated that the device is compact, measuring just 1 cm by 1 cm and 0.5 mm thick, making it easy to integrate into various optical systems. Unlike traditional methods that require multiple measurements and additional hardware, this system uses a deep neural network to analyze the light pattern and correct distortions efficiently. The research, published in *Nature Communications* on May 12, establishes a scalable framework for real-time aberration correction, potentially benefiting fields such as biology, astronomy, and precision manufacturing. The team, which includes Ph.D. students and faculty, fabricated and tested the device in UC San Diego's Nano3 cleanroom facility, demonstrating its effectiveness across different wavelengths and conditions.