Speaker: Gary Tyson Date: Sep 8, 2023 Abstract: Aoccdrnig to a rscheearch at Cmabrigde Uinervtisy, it deosn’t mttaer in waht ore dr the ltteers in a wrod are, the olny iprmoetnt tihng is taht the frist and lsa t ltteer…
Speaker: Xiuwen Liu Date: Sep 1, 2023 Abstract: Pretrained large foundation models play a central role in the recent surge of artificial intelligence, resulting in finetuned models with remarkable abilities when measured on benchmark datasets, standard exams, and applications. Due…
Speaker: Yanbing Mao Date: Sep 15, 2023 Abstract: The recent incidents due to the deployment of machine learning (ML) models overshadow the revolutionizing potential of ML, especially for safety-critical autonomous systems. Developing safe ML is thus more vital today. In…
