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DTSTART;TZID=America/Los_Angeles:20230219T080000
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UID:5472-1676793600-1677171600@marketingeda.com
SUMMARY:ISSCC 2023
DESCRIPTION:ISSCC 2023 is planned as a fully in-person event. On-demand access to ISSCC papers and educational material will be possible for people who cannot travel to San Francisco\, but the conference will be optimized for an in-person experience. We keep monitoring the COVID-19 pandemic and we will promptly inform you should any change in our program be needed. Looking forward to seeing you again in San Francisco! \nEugenio Cantatore – Conference Chair \nPiet Wambacq – Program Committee Chair \n\n\n2023 Plenary Sessions\n\n\n\n\n\n\nInnovation for the Next Decade of High-Performance Computing \nLisa Su\, Chair and Chief Executive Officer\, AMD\, Austin\, Texas \nShape the World with Mixed-Signal Integrated Circuits – Past\, Present\, and Future \nAkira Matsuzawa\, Professor Emeritus of Tokyo Institute of Technology and CEO of Tech Idea\, Kawasaki\, Japan \nEU Chips Act drives pan-European full-stack innovation partnerships \nJo De Boeck\, Executive Vice President and Chief Strategy Officer\, imec and KU Leuven\, Leuven\, Belgium \n5G drives exponential increase in processing needs across all industries \nErik Ekudden\, Senior Vice President\, Chief Technology Officer\, Ericsson\, Kista\, Sweden \n\n\n\n\nShare this:\n				Share on LinkedIn (Opens in new window)\n				LinkedIn\n			\n				Share on X (Opens in new window)\n				X\n			\n				Share on Facebook (Opens in new window)\n				Facebook\n			Like this:Like Loading…
URL:https://marketingeda.com/event/isscc-2023/
LOCATION:Marriott Marquis\, 780 Mission Street\, San Francisco\, CA\, United States
CATEGORIES:Conference,EDA,IP,Semiconductor
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DTSTART;TZID=America/Los_Angeles:20230222T090000
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DTSTAMP:20230215T043142Z
CREATED:20230215T043142Z
LAST-MODIFIED:20230215T043142Z
UID:5977-1677056400-1677060000@marketingeda.com
SUMMARY:AI-Powered Prediction for Semiconductor Designs
DESCRIPTION:Join our live Webinar on AI-Powered Prediction for Semiconductor Designs. Hear from experts at TOffeeAM\, Machine Discovery\, and Nvidia on the latest advancements in AI-powered thermal management\, analog verification\, and building the AI factory. A must-attend for professionals in the semiconductor\, electronics\, and AI industries. Register now! \nSpeakers\n\nMarco Pietropaoli \nTOffeeAM\n\n\nMarco is the CEO and one of the founders of TOffeeAM. He worked on building the company during his EPSRC at Imperial College where he completed his PhD in Fluid Dynamics. He holds an MSc in Mathematics and has expertise in AI software for Additive Manufacturing. He boasts a collaboration with NASA Langley and he is an MBA student at the Quantic Institute of Washington DC.\n\n\n\nLarry Howitz \nMachine Discovery\n\n\nLarry is a member of the technical staff and brings a wealth of experience in circuit simulation to Machine Discovery. In the past\, he has worked at startups and larger EDA companies such as Siemens\, and Synopsys with a focus on research and development.\n\n\n\nAlvin Clark \nNvidia\n\n\nAlvin Clark is a senior solutions architect at NVIDIA who started his career as a design engineer before moving on to technical sales and marketing. He’s worked with customers across multiple industries on applications ranging from satellite systems and surgical robots to deep-sea submersibles. Alvin holds an engineering degree from the University of California\, San Diego\, and is currently pursuing a master’s degree at Georgia Tech.\n\n\n\n\nJanet Collyer \nMachine Discovery\n\n\nJanet’s role at Machine Discovery includes keeping the Board focused on the mission\, vision\, and strategic direction of Machine Discovery. Previous roles include Strategic Group Director at Cadence Design Systems.\n\n\n\n\nShare this:\n				Share on LinkedIn (Opens in new window)\n				LinkedIn\n			\n				Share on X (Opens in new window)\n				X\n			\n				Share on Facebook (Opens in new window)\n				Facebook\n			Like this:Like Loading…
URL:https://marketingeda.com/event/ai-powered-prediction-for-semiconductor-designs/
CATEGORIES:EDA,Webinar
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