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Will We Ever Learn? A Sensor's Lament, and other Stories
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ISIT 2024 Plenary Lecture

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Abstract

Over many decades, information theoretic analysis has proven to be extraordinary useful in reimagining system architecture in diverse applications. Indeed, such analysis clarifies where information is and is not needed, and quantifies the impact of design constraints. Among other examples, this talk will focus on problems of acquisition and digital conversion of sensor data, which straddles the analog/digital interface. The lack of adaptability at this interface often necessitates considerable overprovisioning in contemporary systems, and leads to a significant bottleneck in the information pipeline. Highlighting efforts within and beyond the community, this talk will discuss some of what information theory reveals about what might be possible with respect to addressing these challenges, and about the prospects of learning at the edge.

Biography
Gregory W. Wornell received his Ph.D. from the Massachusetts Institute of Technology (MIT) in electrical engineering and computer science in 1991. Since then he has been on the faculty at MIT, where he is the Sumitomo Professor of Engineering in the department of Electrical Engineering and Computer Science (EECS). At MIT he leads the Signals, Information, and Algorithms Laboratory, and is affiliated with the Research Laboratory of Electronics (RLE), and the Computer Science and Artificial Intelligence Laboratory (CSAIL). He has been involved in the Information Theory and Signal Processing societies in a variety of capacities, and maintains a number of industrial relationships and activities. Among awards for his research and teaching is the 2019 Â鶹´«Ã½Ó³»­ Leon K. Kirchmayer Graduate Teaching Award.