BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251129T042129Z UID:842E169E-E06E-4126-94DF-BE6784436C75 DTSTART;TZID=America/New_York:20251125T160000 DTEND;TZID=America/New_York:20251125T170000 DESCRIPTION:ABSTRACT: The compute demands of AI and robotics continue to ri se due to the rapidly growing volume of data to be processed\; the increas ingly complex algorithms for higher quality of results\; and the demands f or energy efficiency and real-time performance. In this talk\, we will dis cuss the design of efficient tailored hardware accelerators and the co-des ign of algorithms and hardware that reduce the energy consumption while de livering swift real-time and robust performance for applications including deep neural networks\, data analytics with sparse tensor algebra\, and au tonomous navigation. Throughout the talk\, we will highlight important des ign principles\, methodologies\, and tools that can facilitate an effectiv e design process and various forms of co-design that can broaden the desig n space.\n\nBIO: Vivienne Sze is a professor in the Electrical Engineering and Computer Science Department at MIT. She works on computing systems th at enable energy-efficient machine learning\, computer vision\, and video compression/processing for a wide range of applications\, including autono mous navigation\, digital health\, and the internet of things. She is wide ly recognized for her leading work in these areas and has received awards\ , including faculty awards from Google\, Facebook\, and Qualcomm\, the Sym posium on VLSI Circuits Best Student Paper Award\, the IEEE Custom Integra ted Circuits Conference Outstanding Invited Paper Award\, and the IEEE Mic ro Top Picks Award. As a member of the Joint Collaborative Team on Video C oding\, she received the Primetime Engineering Emmy Award for the developm ent of the High-Efficiency Video Coding video compression standard. She is a co-editor of High Efficiency Video Coding (HEVC): Algorithms and Archit ectures (Springer\, 2014) and co-author of Efficient Processing of Deep Ne ural Networks (Synthesis Lectures on Computer Architecture\, Morgan Claypo ol\, 2020). For more information about Prof. Sze’s research\, please vis it [http://sze.mit.edu](https://can01.safelinks.protection.outlook.com/?ur l=http%3A%2F%2Fsze.mit.edu%2F&data=05%7C02%7Ckelly.hunter%40mail.utoronto. ca%7C0c1d2bb1b79a45865a2f08de1bb0ba44%7C78aac2262f034b4d9037b46d56c55210%7 C0%7C0%7C638978643061187412%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydW UsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0 %7C%7C%7C&sdata=rBYJubhz5nDvA8lPUSMBcl2TGsc9ZebyegOiKWWoVtg%3D&reserved=0) .\n\nSpeaker(s): Vivienne\n\nRoom: MC252\, Bldg: Mechanical Engineering Bu ilding\, 5 King's College Road\, Toronto\, Ontario\, Canada\, M5S3G8 LOCATION:Room: MC252\, Bldg: Mechanical Engineering Building\, 5 King's Col lege Road\, Toronto\, Ontario\, Canada\, M5S3G8 ORGANIZER:kellymhunter1@gmail.com SEQUENCE:19 SUMMARY:Efficient Computing for AI and Robotics: From Hardware Accelerators to Algorithm Design URL;VALUE=URI:https://events.vtools.ieee.org/m/512874 X-ALT-DESC:Description: <br /><div data-olk-copy-source="MessageBody"><img style="display: block\; margin-left: auto\; margin-right: auto\;" src="htt ps://events.vtools.ieee.org/vtools_ui/media/display/377de435-2f65-46d9-b01 1-85068d808b16"></div>\n<div data-olk-copy-source="MessageBody">ABSTRACT: &nbsp\;The compute demands of AI and robotics continue to rise due to the rapidly growing volume of data to be processed\; the increasingly complex algorithms for higher quality of results\; and the demands for energy effi ciency and real-time performance. In this talk\, we will discuss the desig n of efficient tailored hardware accelerators and the co-design of algorit hms and hardware that reduce the energy consumption while delivering swift real-time and robust performance for applications including deep neural n etworks\, data analytics with sparse tensor algebra\, and autonomous navig ation.&nbsp\; Throughout the talk\, we will highlight important design pri nciples\, methodologies\, and tools that can facilitate an effective desig n process and various forms of co-design that can broaden the design space .</div>\n<div>&nbsp\;</div>\n<p>BIO:&nbsp\;<span class="markfelobvdvu" dat a-markjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">Vivien ne</span>&nbsp\;<span class="markq8afs0mji" data-markjs="true" data-ogac=" " data-ogab="" data-ogsc="" data-ogsb="">Sze</span>&nbsp\;is a professor i n the Electrical Engineering and&nbsp\;Computer&nbsp\;Science Department a t MIT. She works on&nbsp\;computing&nbsp\;systems that enable energy-effic ient&nbsp\;machine learning\,&nbsp\;computer&nbsp\;vision\, and video comp ression/processing for a wide range of applications\, including autonomous navigation\, digital health\, and the internet of things. She is widely r ecognized for her leading work in these areas and has received awards\, in cluding faculty awards from Google\, Facebook\, and Qualcomm\, the Symposi um on VLSI Circuits Best Student Paper Award\, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award\, and the IEEE Micro T op Picks Award. As a member of the Joint Collaborative Team on Video Codin g\, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency&nbsp\;Video Coding video compression standard.&nbsp \; She is a co-editor of High&nbsp\;Efficiency&nbsp\;Video Coding (HEVC): Algorithms and Architectures (Springer\, 2014) and co-author of&nbsp\;Effi cient&nbsp\;Processing of Deep Neural Networks (Synthesis Lectures on&nbsp \;Computer&nbsp\;Architecture\, Morgan Claypool\, 2020). For more informat ion about Prof.&nbsp\;<span class="markq8afs0mji" data-markjs="true" data- ogac="" data-ogab="" data-ogsc="" data-ogsb="">Sze</span>&rsquo\;s researc h\, please visit&nbsp\;<a title="Original URL: http://sze.mit.edu/. Click or tap if you trust this link." href="https://can01.safelinks.protection.o utlook.com/?url=http%3A%2F%2Fsze.mit.edu%2F&amp\;data=05%7C02%7Ckelly.hunt er%40mail.utoronto.ca%7C0c1d2bb1b79a45865a2f08de1bb0ba44%7C78aac2262f034b4 d9037b46d56c55210%7C0%7C0%7C638978643061187412%7CUnknown%7CTWFpbGZsb3d8eyJ FbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsI ldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp\;sdata=rBYJubhz5nDvA8lPUSMBcl2TGsc9Zebyeg OiKWWoVtg%3D&amp\;reserved=0" target="_blank" rel="noopener noreferrer" da ta-auth="NotApplicable" data-linkindex="1" data-ogsc="">http://<span class ="markq8afs0mji" data-markjs="true" data-ogac="" data-ogab="" data-ogsc="" data-ogsb="">sze</span>.mit.edu</a>.&nbsp\;&nbsp\;</p> END:VEVENT END:VCALENDAR