Helping Machines and People Learn
In recent years, there has been much progress in machine learning in the areas of computer vision, speech, natural language processing and other domains. Yet, there remain many challenging situations, where better machine learning algorithms are necessary. There are cases where teaching signals and evaluation metrics are very clear. There are also scenarios where evaluation metrics can be subjective and one would need to rely on real world feedback for better learning. In this lecture, the speaker will present some of the recent work in helping machines learn from Microsoft Research Asia, such as dual learning and self-generated data learning. Furthermore, he will highlight some important challenges for machine learning. Lastly, as artificial intelligence makes bigger impact on society, people also need to adapt and enhance their skills. He will talk about some recent work on using machine to help people learn.
About the speaker
Dr. Hon Hsiao-Wuen received his BS in Electrical Engineering from National Taiwan University and PhD in Computer Science from Carnegie Mellon University. Prior to joining Microsoft Research Asia, he was a founding member and architect of the Natural Interactive Services Division at Microsoft Corporation. Besides overseeing architectural and technical aspects of the award-winning Microsoft Speech Server product, the Natural User Interface Platform and the Microsoft Assistance Platform, he was also responsible for managing and delivering statistical learning technologies and advanced search. Dr. Hon joined the Microsoft Research as a Senior Researcher in 1995 and has been a key contributor to the Microsoft's speech application programming interface and speech engine technologies. He is currently the Corporate Vice President of the Microsoft, the Chairman of the Microsoft’s Asia-Pacific R&D Group, and the Managing Director of the Microsoft Research Asia. He drives the Microsoft’s strategy for research and development activities in the Asia-Pacific region and its collaborations with academia.
As a Fellow of the Institute of Electrical and Electronics Engineers and a distinguished scientist at the Microsoft, Dr. Hon is an internationally recognized expert in speech technology. He has published more than 100 technical papers in international journals and at conferences. He co-authored a book, Spoken Language Processing, which is a graduate-level textbook and reference book in the area of speech technology used in universities around the world. Dr. Hon also holds 36 patents in several technical areas.