# Speaker-Hosted GTC Session Replays The speaker-hosted GTC session replays are over, but you can still check out the best of [GTC sessions](https://www.nvidia.com/en-us/on-demand/search/?facet.event_name\[\]=GTC%20Digital%20Spring&facet.event_year\[\]=2023&facet.mimetype\[\]=event%20session&headerText=All%20Sessions&layout=list&page=1&q=-&sort=relevance&sortDir=desc) on-demand. Interested in learning more about the latest in AI? Join us in person at GTC on March 18-21, 2024 in San Jose, CA or virtually. Come experience over 500 inspiring sessions, explore 200+ exhibits, and watch the can’t-miss keynote by NVIDIA CEO Jensen Huang. **July 12, 2023 | 10:00 a.m. PDT - 11:30 a.m. PDT \(1:00 p.m. EDT - 2:30 p.m. EDT\)** ### Speech AI Demystified | **Speaker:** Arun Venkatesan | **Title:** Senior Product Manager | **Company** : NVIDIA | |--------------------------|-----------------------------------------|------------------| | **Speaker:** Sven Chilton | **Title:** Deep Learning Developer Advocate | **Company:** NVIDIA | | **Speaker:** Rafael Valle | **Title:** Scientist and Research Manager | **Company:** NVIDIA | Speech AI technologies, including automatic speech recognition and text-to-speech, are ubiquitous in consumer applications such as virtual assistants. They’re also increasingly being used in industries to provide personalized human-like interactions through service robots and digital avatars. Large-scale adoption of speech across industries requires research and tools that enable them to understand domain-specific context. In this talk, we’ll explore the evolution of speech AI, optimized techniques and SDKs for deploying in real-world scenarios, and the latest breakthroughs that will impact future applications. **Level:** Beginner Technical **Topic:** Conversational AI/NLP **Industry:** All Industries **Language** : English | **August 1, 2023 | 10:00 - 11:30 a.m. PDT \(1:00 - 2:30 p.m. EDT | 07:00 - 08:30 p.m. CEST\)** | |----------------|----------------------------------------------|--------------------------| ### How to Write a CUDA Program | **Speaker:** Stephen Jones | **Title:** CUDA Architect | **Company** : NVIDIA | |------------------------|-----------------------|------------------| Join one of the architects of NVIDIA® CUDA® for a step-by-step walkthrough of exactly how to approach writing a GPU program: how to begin, what to think about, what to avoid, and what to watch out for. Building on the background laid down in the speaker's previous GTC talks "How GPU Computing Works" and "How CUDA Programming Works" \(although there is no requirement to have seen them\), we'll start from first principles to apply everything we know about parallel and GPU programming to create a CUDA application from scratch. **Level:** 101/Getting Started **Topic:** Accelerated Computing and Dev Tools—Programming Languages/Compilers **Industry:** All Industries **Language:** English | **August 3, 2023 | 10:00 - 11:30 a.m. PDT \(1:00 - 2:30 p.m. EDT | 07:00 - 08:30 p.m. CEST\)** | |----------------|----------------------------------------------|--------------------------| ### CUDA: New Features and Beyond | **Speaker:** Stephen Jones | **Title:** CUDA Architect | **Company** : NVIDIA | |------------------------|-----------------------|------------------| The CUDA platform is the foundation of the GPU computing ecosystem. Every application and framework that uses the GPU does so through its libraries, compilers, runtimes, and language—which means CUDA is growing as fast as its ecosystem is evolving. Join this engineering-focused talk, presented by one of the architects of CUDA, to learn about what's new and what's coming next for both the platform and GPU computing as a whole. **Level:** Beginner Technical **Topic:** Accelerated Computing and Dev Tools—Programming Languages/Compilers **Industry:** All Industries **Language** : English | **September 27, 2023** | **10:00-11:30 a.m. PDT \(1:00-2:30 p.m. EDT | 07:00-08:30 p.m. CEST\)** | |--------------------|------------------------------------------|------------------------| ### How to use Generative AI to Build Content for Real-World Applications | **Speaker:** Zenodia Charpy | **Title:** Senior Deep Learning Data Scientist | **Company:** NVIDIA | |-------------------------|--------------------------------------------|-----------------| Explore a human-centric approach to co-creating a variety of applications using generative AI models. We’ll start with the ability of new language models to co-author documents, co-communicate in interactive conversations, and co-generate synthetic data. Then, you’ll learn how to integrate diffusion models' image-generation capability anchored in a real-world artist's co-design and co-created image-generation process. Next, we’ll demonstrate a mixture of generative AI skillsets in an avatar, telling a story supported by applications that we discussed previously. Finally, we’ll see how to deploy some of these applications into the cloud as microservices. **Level:** Beginner Technical **Topic:** Graphics—AI Applications, Art **Industry:** All Industries **Language** : English Keep up with the latest on AI with a wide selection of free sessions ranging from "how to" introductory topics to expert implementation guides. 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