AI at Alibaba

Abstract:

In this talk, we will introduce the key developments in AI technologies within Alibaba, including new speech recognition model that yielded the best recognition accuracy in benchmark datasets, a new framework of machine reading and comprehension that outperform the performance of human subjects in SQuAD dataset, and a new approach for model compression that fully leverages the architecture of FPGA and reduces the latency of P4 GPU by a factor 0f 170. Besides these core technology developments, we will also introduce a number of new products that harvested the latest developments in speech recognition, text2speech synthesis, visual object detection/recognition/tracking, question answering, and speech to speech translation.


Biodata:

Dr Rong Jin is a distinguished engineer at Alibaba. He is leading the Machine Intelligence Technologies Department of Alibaba (former iDST). Prior to joining Alibaba, he is a faculty member of the Computer and Science Engineering Dept. at Michigan State University from 2003 to 2014. His research is focused on statistical machine learning and its application to information retrieval. He published over 200 technique papers, mostly on the top conferences and prestigious journals. He is an associate editor of IEEE Transaction at Pattern Analysis and Machine Intelligence (TPAMI) and ACM Transaction at Knowledge Discovery from Data. Dr. Jin holds Ph.D. in Computer Science from Carnegie Mellon University. He received the NSF career award in 2006, and the best paper award from COLT in 2012.