Human-Centric Computing – The Case for a Hyper-Dimensional Approach
Some of most compelling application domains of the IoT and Swarm concepts relate to how humans interact with the world around it and the cyberworld beyond. While the proliferation of communication and data processing devices has profoundly altered our interaction patterns, little has been changed in the way we process inputs (sensory) and outputs (actuation). The combination of IoT (Swarms) and wearable devices offers the potential for changing all of this, opening the door for true human augmentation.
Yet, making sense of the plethora of information received from the often noisy sensors and making reliable decisions within very tight latency bounds (< 10 ms) typically demands huge computational workloads to be performed in wearable form factors at extreme energy efficiency. In this presentation, we will make the case why alternative non-Von Neumann computational paradigms and architectures may be the right choice for these cognitive processing tasks. Even more, we will focus on a computational model called Hyper-Dimensional Computing (HDC), and illustrate with concrete examples of why this approach may be the right one in a post-Moore data-driven arena.
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- Date: 27 Oct 2017
- Time: 10:00 AM to 11:00 AM
- All times are (GMT-06:00) US/Central
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- 6600 Washington Ave.S.
- Eden Prairie, Minnesota
- United States 55344
- Building: Tech Center I
- Room Number: Orion
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Contact for Starkey Hearing Technologies:
Tao Zhang, Ph.D.
Director of Signal Processing Research DepartmentT:-952-947-4943 | M:-952-210-2245
F:-952-828-9121 | email: tao_zhang@starkey.comContact for IEEE-TC SP/COM Chapters:
Tao Zhang, Ph.D.
Chair of IEEE-TC SP/COM ChaptersT:-952-943-0104 | M:-952-210-2245
F:-952-943-0104 | Email: tzhang28@ieee.org - Co-sponsored by Starkey Hearing Technologies
Speakers
Jan M. Rabaey, Donald O. Pederson Distinguished Professor, UC Berkeley of UC Berkeley
Human-Centric Computing – The Case for a Hyper-Dimensional Approach
Some of most compelling application domains of the IoT and Swarm concepts relate to how humans interact with the world around it and the cyberworld beyond. While the proliferation of communication and data processing devices has profoundly altered our interaction patterns, little has been changed in the way we process inputs (sensory) and outputs (actuation). The combination of IoT (Swarms) and wearable devices offers the potential for changing all of this, opening the door for true human augmentation.
Yet, making sense of the plethora of information received from the often noisy sensors and making reliable decisions within very tight latency bounds (< 10 ms) typically demands huge computational workloads to be performed in wearable form factors at extreme energy efficiency. In this presentation, we will make the case why alternative non-Von Neumann computational paradigms and architectures may be the right choice for these cognitive processing tasks. Even more, we will focus on a computational model called Hyper-Dimensional Computing (HDC), and illustrate with concrete examples of why this approach may be the right one in a post-Moore data-driven arena.
Biography:
Jan holds the Donald O. Pederson Distinguished Professorship at the University of California at Berkeley. He is a founding director of the Berkeley Wireless Research Center (BWRC) and the Berkeley Ubiquitous SwarmLab, and has served as the Electrical Engineering Division Chair at Berkeley twice.
Prof. Rabaey has made high-impact contributions to a number of fields, including advanced wireless systems, low power integrated circuits, sensor networks, and ubiquitous computing. His current interests include the conception of the next-generation integrated wireless systems, as well as the exploration of the interaction between the cyber and the biological world.
He is the recipient of major awards, amongst which the IEEE Mac Van Valkenburg Award, the European Design Automation Association (EDAA) Lifetime Achievement award, and the Semiconductor Industry Association (SIA) University Researcher Award. He is an IEEE Fellow, a member of the Royal Flemish Academy of Sciences and Arts of Belgium, and has received honorary doctorates from Lund (Sweden), Antwerp (Belgium) and Tampere (Finland). He has been involved in a broad variety of start-up ventures.
Jan M. Rabaey, Donald O. Pederson Distinguished Professor, UC Berkeley of UC Berkeley
Human-Centric Computing – The Case for a Hyper-Dimensional Approach
Biography:
Agenda
10:00am – 10:05am Introduction
Dr. Tao Zhang
10:05am – 11:00am Human-Centric Computing – The Case for a Hyper-Dimensional Approach
Jan M. Rabaey, Donald O. Pederson Distinguished Professor, UC Berkeley