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IEEE Engineering in Medicine and Biology Society (EMBS) is the world's largest international society of biomedical engineers. EMBS provides its members with access to the people, practices, information, ideas and opinions that are shaping one of the fastest growing fields in science.

You are invited to the next meeting of the Atlanta Chapter of the IEEE Engineering in Medicine and Biology Society. This will be a joint meeting with the Atlanta Chapter of the IEEE Signal Processing Society.

• Title: Input Intelligence on Mobile Devices
• Speaker: Dr. Jerome R. Bellegarda, Apple Distinguished Scientist in Intelligent System Experience, Apple, Inc.
• Date: Wednesday, May 4, 2022
• Time: 12:00pm-1:00pm Eastern
• Location: Virtual (see registration for details)
• RSVP: Register via IEEE vtools (IEEE Membership not required)
• Abstract: Over the past decade, the confluence of sophisticated algorithms and tools, computational infrastructure, and data science has fueled a machine learning revolution across multiple fields, including speech and handwriting recognition, natural language processing, computer vision, social network filtering, and machine translation. Ensuing advances are changing the way we interact with technology in our daily lives. This is particularly salient when it comes to user input on mobile devices, be it speech, handwriting, touch, keyboard, or camera input. Increased input intelligence boosts device responsiveness across languages, improving not only basic abilities like tokenization, named entity recognition and part-of-speech tagging, but also more advanced capabilities like statistical language modeling and question answering. In this talk, I will give selected examples of what we are doing at Apple to impart input intelligence to mobile devices, with two overarching themes as sub-text: (i) enhancing interaction experience through machine learning, and (ii) transforming users' digital lives without sacrificing their privacy.
• Bio: Dr. Jerome R. Bellegarda (M'87-SM'92-F'03) is Apple Distinguished Scientist in Intelligent System Experience at Apple Inc., Cupertino, California, which he joined in 1994. He received the Ph.D. degree in Electrical Engineering from the University of Rochester, Rochester, New York, in 1987. Among his diverse contributions to speech and language advances over the years, he pioneered the use of tied mixtures in acoustic modeling and latent semantics in language modeling. In addition, he was instrumental to the due diligence process leading to Apple's acquisition of Siri personal assistant technology and its integration into the Apple ecosystem. His general interests span machine learning applications, statistical modeling algorithms, natural language processing, man-machine communication, multiple input/output modalities, and multimedia knowledge management. In these areas he has written close to 200 publications, and holds over 100 U.S. and foreign patents. He has worked as Expert Advisor on speech and language technologies for both the U.S. National Science Foundation and the European Commission, served on the IEEE Signal Processing Society (SPS) Speech Technical Committee, was Associate Editor for the IEEE Transactions on Audio, Speech and Language Processing, and is currently an Editorial Board member for Speech Communication. He is a Fellow of both IEEE and ISCA (International Speech Communication Association).

• Chair: Adriane Swalm Durey, Ph.D.
  Principal Engineer, Software, Abbott
• Vice-Chair: Erik Moore
  Technical Fellow, Avanos Medical
• Secretary: Philip FitzSimons, Ph.D.
  FitzSimons Automation
• Treasurer: Jacqueline Fairley, Ph.D.
  Georgia Tech Research Institute

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