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{"isCandidateLoggedIn": false, "isProfileRegistered": false, "isAllowedForRegistration": false, "registrationNotAllowedReason": "Registration is not allowed, as the event is over", "candidateLoginMandatory": false, "eventData": {"name": "CMU: NVIDIA Keynote Tech Talk from Hardware to AI", "groupId": "nvidia.com", "plannedEventEncId": "nQAj6NrpD", "createdByName": "Tara Fong", "institution": "Carnegie Mellon University", "venue": "Rashid Auditorium", "address": "", "description": "<h2><strong>UPDATE: Registration is now closed due to max capacity reached!</strong></h2><div><br></div><h2>NVIDIA is the Engine of AI with CPUs, GPUs, and DPUs at its foundation.&nbsp;</h2><div>We engineer the most advanced chips, systems, and software for the AI factories of the future. We build new AI services that help companies create their own AI factories. Our technologies are revolutionizing the automotive, health care, manufacturing, entertainment, and finance industries and reshaping the future of computing.</div><div><br></div><h2>Join us for a conversation.</h2><div><strong>Topic 1: Physical Design of Accelerated Computing Processors: The Brains of AI</strong></div><div>High-performance or accelerated computing processors (GPUs and CPUs) are at the center of the AI revolution. This presentation provides an overview of the design process, challenges and how to approach towards solutions from the physical design perspective in a competitive and continuously evolving industry. It also talks about the helpful skills and traits of a prospective professional, besides the academic knowledge, to be successful in this field.</div><div><br></div><div><strong>Topic 2: Deep Learning Perception for Autonomous Driving&nbsp;</strong></div><div>This talk covers recent research efforts for scaling-up deep learning perception for Autonomous Driving. We will briefly go over our recent advances on the efficiency of deep learning methods from a Data and a DNN perspective, including neural network pruning, long-tail learning, active learning or unsupervised learning.</div><div><br></div><div><strong>Limited spaces available to the <u>first 275 students with registration</u>. </strong>Doors open at 5:15pm EDT. This opportunity is intended for CMU students pursuing a Bachelors, Masters, or PhD in Electrical Engineering, Computer Science, Computer Engineering, Robotics, Artificial Intelligence, Autonomous Vehicles, and related engineering majors, and seeking Summer 2025 Internships. 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width: 100vw !important; position: relative !important; left: 50% !important; right: 50% !important; margin-left: -50vw !important; margin-right: -50vw !important; background-size: cover !important; background-position: center !important;} .positions-widget .view-all {text-decoration: underline !important; text-decoration-color: #76b900 !important; text-decoration-thickness: 2px !important; text-underline-offset: 0.3125em !important; color: #000000 !important;} .positions-widget .view-all:hover {text-decoration: underline !important; text-decoration-color: #000000 !important; text-decoration-thickness: 2px !important; text-underline-offset: 0.3125em !important; color: #000000 !important;} .positions-widget .position-cards-container .position-card .position-title {text-decoration: underline !important; text-decoration-color: #76b900 !important; text-decoration-thickness: 2px !important; color: #000000 !important; line-height: 1.8 !important; text-underline-offset: 0.3125em !important;} .positions-widget .position-cards-container .position-card .position-title:hover {text-decoration: underline !important; text-decoration-color: #000000 !important; text-decoration-thickness: 2px !important; color: #000000 !important; line-height: 1.8 !important; text-underline-offset: 0.3125em !important;} .events-listing .ef-table-container .ef-table-card .ef-table .rt-table .rt-tbody .rt-tr-group .rt-tr .rt-td .banner-image img {background-color: #ffffff !important; height: fit-content!important; width: 200px !important;} .events-listing .ef-table-container .ef-table-card .ef-table .rt-table .rt-tbody .rt-tr-group .rt-tr .rt-td .event-content .event-name {font-weight: 700 !important;} .events-listing .browse-events {font-weight: 700 !important;} .upload-resume-modal {background-color: #000000 !important;} .registration-page .upload-resume-modal .dropzone-container .btn {font-weight: bold !important; background-color: #76b900 !important; color: #000000 !important; border-radius: 1px;} .registration-page .upload-resume-modal .dropzone-container .btn:hover {font-weight: bold !important; background-color: #ADD566 !important; color: #000000 !important; border-radius: 1px;} .upload-resume-modal .dropzone-container .fal {color: #000000 !important;} .upload-resume-modal .dropzone-container h3 {color: #000000 !important;}