Stanford makes an impact at machine learning conference

Stanford University had a notable presence at the 37th International Conference on Machine Learning (ICML) last week, with a leading number of citations and papers, ahead of other machine learning powerhouses MIT, U.C. Berkeley, Carnegie Mellon and Princeton. The ICML 2020, which was held from July 12 to July 18, was originally scheduled to take place in Vienna, Austria, but due to the COVID-19 pandemic, the conference was moved to a virtual format. The ICML is a leading academic conference on machine learning, at which academic and industry teams from around the world present cutting-edge research in the field. This year, only 1,088 papers were selected from 4,990 submissions, an all-time low acceptance of 21.8%, according to an article published on Medium by Gleb Chuvpilo, a partner of the firm Thundermark Capital, which invests in AI and robotics. Stanford also proved itself to be a leader in Artificial Intelligence research relative to industry representatives, second only to Google, and ahead of leading companies like Microsoft, Facebook and IBM.