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X-WR-CALDESC:Events for IEEE Toronto Section
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DTSTART;TZID=UTC:20240821T133000
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SUMMARY:Analog Optical Computing for sustainable AI and beyond
DESCRIPTION:Abstract : Digital computing is approaching its fundamental limits just as compute-intensive workloads like machine learning are taking off. To address this\, we are building a new kind of computer–an analog optical computer–to accelerate AI inference and hard optimization workloads. The computer has the potential to improve the efficiency and sustainability of these workloads by around 100x by stepping away from several fundamentally limiting aspects of general-purpose digital computing. It leverages chip-scale optical and electronic technologies from the consumer space that are low cost and scalable. In this talk\, I will describe two generations of this computer that we have built\, outline our roadmap for scaling\, and discuss the importance of hardware-software co-design for such emerging computers and their potential for accelerating real-world problems in the post-Moore Law’s era.  Speaker(s): Dr. Hitesh Ballani\,   Bldg: McConnell Engineering building\, \, Room MC603\, 6th floor\, 817 Sherbrooke St W\, \, Montreal\, Quebec\, Canada\, H3A 0C3\, Virtual: https://events.vtools.ieee.org/m/430520
URL:https://www.ieeetoronto.ca/event/analog-optical-computing-for-sustainable-ai-and-beyond/
LOCATION:Bldg: McConnell Engineering building\, \, Room MC603\, 6th floor\, 817 Sherbrooke St W\, \, Montreal\, Quebec\, Canada\, H3A 0C3\, Virtual: https://events.vtools.ieee.org/m/430520
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DTSTART;TZID=UTC:20240821T163000
DTEND;TZID=UTC:20240821T173000
DTSTAMP:20260508T173901
CREATED:20240613T163257Z
LAST-MODIFIED:20240820T193113Z
UID:10000818-1724257800-1724261400@www.ieeetoronto.ca
SUMMARY:Materials As Machines
DESCRIPTION:[]Join the IEEE Toronto Instrumentation & Measurement – Robotics & Automation Joint Chapter for a talk on the Materials As Machines\, presented by Dr. Irina Garces from Carleton University.  Wednesday\, August 21\, 2024 @ 4:30 – 5:30 PM  Abstract: The Materials as Machines Lab specializes in developing systems and devices geared toward producing material systems that can adapt or be tailored to variable operating conditions. Our focus lies in the development of smart material systems applicable across a spectrum of fields\, including deployable actuators\, manipulators\, soft robotics\, wearables\, and biomedical applications. Leveraging additive manufacturing\, these innovative material systems offer practical\, cost-effective solutions for engineering challenges. By integrating sensors into multifunctional actuating materials\, we create dynamic structures and assemblies capable of self-sensing and adaptation.  In this presentation\, Dr. Garces will present their ongoing research on self-sensing actuation\, tailored additive manufacturing\, and explore the transformative potential of this technology in prosthetics\, and examine its diverse applications across industries.  Speaker(s): Irina Garces\, Ph.D.  Virtual: https://events.vtools.ieee.org/m/424150
URL:https://www.ieeetoronto.ca/event/materials-as-machines/
LOCATION:Virtual: https://events.vtools.ieee.org/m/424150
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