Neural networks can recognize production processes by video to enhance industrial safety and efficiency

A research team from the Skoltech AI Center and Samara University have developed a system for automatically separating the stages of production processes from video streams. Industrial cameras will detect deviations in the production process themselves and even prevent accidents. By employing the self-supervised learning approach, the cost of manual data markup can be reduced …

DNA data storage: AI method speeds up data retrieval by 3,200 times

Researchers from the Henry and Marilyn Taub Faculty of Computer Science have developed an AI-based method that accelerates DNA-based data retrieval by three orders of magnitude while significantly improving accuracy. The research team included Ph.D. student Omer Sabary, Dr. Daniella Bar-Lev, Dr. Itai Orr, Prof. Eitan Yaakobi, and Prof. Tuvi Etzion.