UCLA Contributes to NSF-Simons AI Institute for Cosmic Origins with Advanced Machine Learning Research

UCLA’s Assistant Professor Baharan Mirzasoleiman, an expert in machine learning from large-scale datasets, will develop advanced algorithms to train models capable of processing the immense volume of astronomical data from telescopes. “Our goal is to develop efficient algorithms that can extract valuable insights from this vast data, particularly telescope imagery and their accompanying text descriptions,” Professor Mirzasoleiman said. “The sheer size of the data makes traditional methods insufficient. By training a multimodal (image-language) foundation model, we aim to answer scientific questions in natural language based on visual data.”

Read in full on the UCLA website.