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.
Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This artificial intelligence (AI) uses learning methods inspired by large language models. TabPFN learns causal relationships from synthetic data…
People can develop emotional closeness to artificial intelligence (AI)—under certain conditions, even more so than to other people. This is shown by a new study conducted by a research team led by Prof. Dr. Markus Heinrichs and Dr. Tobias Kleinert from the Department of Psychology at the University of Freiburg…