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Jeremy Frank Serving on NVIDIA/GTC High-Accuray Automated Speech-to-Text Transcription Panel
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Jeremy Frank Serving on NVIDIA/GTC High-Accuray Automated Speech-to-Text Transcription Panel

Jeremy Frank will be serving on the Using Artificial Intelligence/Machine Learning/Natural Language Processing for Automatic Speech to Text Transcription with High Accuracy panel as part of NVIDIA GTC’s 2022 global developer’s conference. The GTC conference takes place online March 21 - 24, 2022, and the AI/ML/NLP panel happens Wednesday, March 23, 9 am – 10:30 PDT. Any registrant can attend any session or Deep Learning Institute (DLI) Workshop. Registration is free.

Voice technology has evolved tremendously in the last 20 years. Automated Speech Recognition (ASR) is now being adopted by several agencies as a key tool to transform and digitize billions of hours of captured voice and enable its assimilation into machine learning and AI solutions. This panel session will outline Government Acquisitions, Inc.’s (GAI) ASR platform architecture – an end-to-end Natural Language Processing- (NLP) based unified platform that provides government agencies an ability to record, label, train, and deploy speech recognition models at scale -- using NVIDIA GPU acceleration for efficient machine learning, deep learning, and inferencing techniques. Panel members Jay Lambke (GAI), David Taubenheim (Senior Data Scientist, NVIDIA), Dr. Jeremy Frank (Planning & Scheduling Lead, NASA Ames Intelligent Systems Division), Prem Jadhwani (Chief Technology Officer, Government Acquisitions), Clinton May (Deepgram), and Mike Segala (CEO SFL Scientific) will watch the session alongside you and provide real-time insights and answer any questions you have.

BACKGROUND: NVIDIA GTC is the developer conference for the era of AI. It’s where developers, researchers, creators, IT decision makers, and business leaders come together to learn how to shape our world with the power of AI, computer graphics, data science, and more.

POINT OF CONTACT: Jeremy Frank, jeremy.d.frank@nasa.gov

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