Through the advance of Internet of Things (IoT), the rapidly growing big data is substantially transforming our society, for example, through smarter commercial products and services. One of the fundamental pillars of Society 5.0 is to help the society become smarter in a data-driven way. He has been elected fellow of IEEE and ACM.Ībstract: Japan is launching ‘Society 5.0’, the vision for a future smarter society. He received his PhD, MS, and BS in Computer Science from the University of Edinburgh, Tsinghua University, and Hunan University respectively. He holds over 100 patents and published over 100 papers & 2 books. He was named the Asian American Engineer of the Year (2011), and Wired Magazine’s 25 Geniuses (2016). He received Alan Newell research excellence leadership medal in 1992 and IEEE Best Paper Award in 1993. He was on the faculty of School of Computer Sciences at Carnegie Mellon University before joining Microsoft. He helped to advance AI across Microsoft’s whole AI Stack: Solutions: AI for customer support (Project Toronto), Voice Assistant Cortana, Microsoft Translator APIs: Cognitive Services on Azure Engines: Speech, Machine translation, Gesture, and NLP Deep Learning infrastructure: Cognitive Toolkit (CNTK) and GPU Cluster (Project Philly) In 2016, he led the team achieving a historical conversational speech recognition human parity milestone on the Switchboard task. In 2015, he returned to AI and Research to lead the advanced technology group. He served as General Manager for MSR Incubation and Chief Architect for Bing and Ads. As the general manager of Microsoft’s spoken language efforts, he helped to bring speech to the mass market by introducing SAPI to Windows in 1995 and Speech Server to the enterprise call center in 2004. In 1993, Huang joined Microsoft to found the company’s speech technology group. He leads Microsoft’s Speech and Language Group. Xuedong Huang is a Microsoft Technical Fellow in AI and Research. This talk will review how Microsoft achieved human parity on both conversational speech recognition and news machine translation research tasks and highlight significant challenges remaining to make speech and language production services mainstream in our AI journey.ĭr. The impact of big data and cloud to speech and language evolution is foundational to realize the society’s AI vision. It is no exaggeration that speech and language helped to differentiate human intelligence from animal intelligence in the evolution process. In 2008, he was awarded MIT’s prestigious TR35 (“35 under 35”).Ībstract: Amongst all creatures the human species stands unique in Darwin’s natural selection process. Blaise has given TED talks on Seadragon and Photosynth (2007, 2012) and Bing Maps (2010). Until 2014 he was a Distinguished Engineer at Microsoft, where he worked in a variety of roles, from inventor to strategist, and led teams with strengths in interaction design, prototyping, computer vision and machine vision, augmented reality, wearable computing and graphics. His group works extensively with deep neural nets for machine perception, distributed learning, and agents, as well as collaborating with academic institutions on connectomics research. This talk will address these trends, technologies designed to address them (including Federated Learning, quantization, and device-friendly architectures like MobileNet), and the product landscape emerging from these new developments.īlaise Agüera y Arcas leads a team at Google focusing on Machine Intelligence for mobile devices-including both basic research and new products. These include: the development of power-efficient on-device neural processors scaling laws relating energy density, size, and bandwidth and an increasing demand for data privacy. However, there are several forces on the other side of the coin, pushing neural capabilities onto the device and out of the cloud. These two are connected, in that logs from services are the fuel that has powered data-hungry deep learning algorithms. Abstract: In the past decade we have seen very rapid growth in two fields: cloud services, and neural networks.
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