Our speaker is Paul H. Carr, PhD, IEEE Life Fellow Electric cars are fun to drive: silent acceleration 0 to 60 mph in 3 to 6 seconds. They are doubly green, saving our planet with no carbon dioxide emissions and saving the green in your pocketbook. They get the equivalent of 100 miles per gallon, saving $4000 in 5 years in fuel costs and requiring no oil and filter changes. The number of moving parts in an electric vehicle is one-tenth that of a gasoline engine. Electric motors are more than twice as efficient. The 2019 Nobel Prize in Chemistry was awarded to Dr John Goodenough and two co-inventors of the Lithium-Ion Battery. In 1960, Paul Carr was a MIT graduate student with a summer job working with Dr. Goodenough at the MIT Lincoln Lab. Agenda: 4:15 PM registration 4:30 PM Presentation by Paul H. Carr followed by questions and answers. The presentation will be livestreamed. Room: Classroom, The Baldwin, 50 Woodmont Avenue, Londonderry, New Hampshire, United States, 03053, Virtual: https://events.vtools.ieee.org/m/462395

[] Title: Realizing Artificial Intelligence: Edge-to-Cloud-to-Exascale Abstract: Foundational models with trillions of parameters are being trained. Multi-modal GenAI and Inference Serving services are being deployed for a variety of use cases. To meet the computational demands of these AI workloads, we now have infrastructure with larger than ever GPUs and networks with ever increasing bandwidths. In this presentation, I will talk about challenges of running today’s AI workloads on extreme scale infrastructure. Hewlett Packard Labs is pursuing different research directions for building resilient, scalable and sustainable AI infrastructures. I will discuss how we are tackling the complexities of orchestrating AI/ML workloads by leveraging AI Workload simulations, GPU virtualization, performant communication collectives and novel accelerators. Virtual: https://events.vtools.ieee.org/m/462458