Student Conference Sessions
Enhance your knowledge in AI, robotics, industry innovations, and more, earn training certifications, and learn from industry leaders.
Featured Sessions
Graduate Fellowship Fast Forward Talks [S71166]
Bill Dally | Chief Scientist and SVP of Research | NVIDIA
Bailey Miller | PhD Student | CMU
Nicklas Hansen | PhD Student | UC San Diego
Payman Behnam | PhD Student | Georgia Tech
Reinhard Wiesmayr | PhD Student | ETH Zurich
Songwei Ge | PhD Student | Univ. of Maryland, College Park
Toluwanimi Odemuyiwa | PhD Student | UC Davis
Yiming Li | PhD Student | NY University
Yue Zhao | PhD Student | UT Austin
Zhiqi Li | PhD Student | Nanjing University
Zihao Ye | PhD Student | Univ of Washington
Join a special presentation from our 2024-25 Graduate Fellowship recipients to learn "what's next" from the world of research and academia. Sponsored projects involve a variety of technical challenges, including machine learning, robotics, computer vision, computer graphics, wireless communication systems, high performance computing, autonomous driving, and AI efficiency. We believe that these minds lead the future in our industry and we're proud to support the 2024-25 NVIDIA Graduate Fellows. We'll also announce the 2025-26 Graduate Fellows at this session. For more information on the NVIDIA Graduate Fellowship program, visit www.nvidia.com/en-us/research/graduate-fellowships
The CUDA C++ Developer’s Toolbox [S72572]
Bryce Lelbach | Principal Architect | NVIDIA
Getting the most out of your GPU with CUDA C++ doesn't require writing custom kernels or manually managing storage for everything! Learn about the libraries and techniques that not only make writing CUDA C++ applications easier, but give you better performance. Through examples, we'll explore all aspects of writing modern CUDA C++ software, including heterogeneous memory management, algorithm design, and project setup.
The CUDA Python Developer’s Toolbox [S72448]
Katrina Riehl | Principal Technical Product Manager | NVIDIA
Writing GPU code in Python is easier than ever! Gain valuable insight into the diverse collection of CUDA libraries and frameworks that enable significant performance boosts across various computational tasks. Through practical examples, you'll see popular CUDA Python libraries in action, illustrating their effectiveness in real-world scenarios. We'll share valuable tips and tricks designed to help you maximize the performance of your own Python projects. Whether you’re new to GPU programming or looking to enhance your existing skills, this session will equip you with the knowledge needed to leverage the full potential of the CUDA Python development stack for accelerated computing.
Unlock the Speed of Light for Data Science Workflows With Gemini Coding Assistant [S73027]
Paige Bailey | AI Developer Relations Engineering Lead | Google DeepMind
Boosting your data science workflows has never been easier — just access pre-installed CUDA-X libraries for data processing to accelerate your workflows in Google Colab. Discover and unlock the benefits of accelerated data science with zero code changes; speed up your code by simply switching on the GPU runtime — no need for code refactoring or library installations. For better discoverability, Gemini provides multiple touch points to help Colab users discover and generate code to accelerate their data science workloads
RAPIDS in 2025: Accelerated Data Science Everywhere [S73290]
Nick Becker | Sr. Technical Product Manager | NVIDIA
RAPIDS open source library suite is the foundation for accelerated AI and data science workloads. It supports dataframes, machine learning, graph analytics, vector databases, and LLM-based workflows. In this session, NVIDIA technical leaders will walk data scientists and engineers through new features, zero code change interfaces, powerful optimizations and give a peek at what’s around the corner.
Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.
Advancing AI to Build the Most-Trusted Driver [S72844]
DRAGOMIR ANGUELOV | VP, Head of Research | Waymo
We'll present some of Waymo's latest AI research, with a focus on expanding the capabilities of Waymo's autonomous vehicle stack, and those of the simulator that helps Waymo evaluate their performance and safety.
Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.
Beyond the Camera: Revolutionize Content Creation With Advanced Lip-Sync AI [S71969]
Anshul Khandelwal | Co-Founder, CTO, and SVP Product | Invideo, Inc.
Dive into the world of next-generation content creation as we unveil an innovative lip-sync model designed to break down barriers for millions of creators. We'll take you on a journey through the development of a cutting-edge AI system that's set to transform video production. We'll explore the challenges of processing vast amounts of diverse audio-visual data, the intricacies of our generative adversarial network (GAN)-based architecture with StyleGAN innovations, and the optimization techniques that make this technology scalable for millions of users.
Learn how we tackled common issues in lip-sync technology, from audio-visual misalignment to identity preservation, and discover the potential applications of this model in conjunction with existing B-roll and AI director capabilities. Whether you're an ML engineer, AI researcher, or developer working on large-scale video processing systems, you'll gain valuable insights into the future of AI-assisted content creation.
Building a 3D Image-Based Search System for Medical Images: How Can Foundational Models Help? [S72436]
Ivan Tarapov | Group Manager, Healthcare AI | Microsoft
Alberto Santamaria-Pang | Principal Applied Data Scientist | Microsoft
Dive deep into the transformative potential of foundational multimodal models in the realm of medical imaging. We'll explore how advanced models can be harnessed to build sophisticated 3D medical image search systems that meet the exacting standards of clinical relevance. We'll walk you through the latest tools and technologies available, shedding light on how to effectively implement them in your projects. Learn about the critical search criteria — such as accuracy, speed, and specificity — that are essential for clinical applications, and discover how to configure your system to prioritize these factors. We'll also discuss strategies for managing the costs associated with building and operating these systems, ensuring you can achieve high performance without exceeding your budget. You'll see some hands-on examples and gain actionable insights and practical knowledge that will help you develop cutting-edge 3D image search solutions in the medical field.
How AI is Transforming the Way We Create, Personalize, and Share Content [S73742]
Richard Kerris | VP and General Manager | NVIDIA
AI is transforming media production by changing how we create, handle, and share content. It helps artists and writers generate scripts, music, and visual effects. Natural language processing and transformer models are now used to create dialogue and story outlines, aiding storytellers in crafting narratives. In music, AI helps compose new pieces and improve others. For visual effects, it’s being used for tasks such as rotoscoping, adjusting colors, and creating computer-generated imagery more efficiently.
In the realm of media distribution, AI is optimizing content delivery and personalization. Recommendation systems, powered by AI, analyze user data to suggest content that aligns with individual preferences, thereby enhancing viewer engagement. AI is also instrumental in managing digital rights, detecting copyright infringements, and ensuring compliance with licensing agreements.
As AI continues to evolve, it will further disrupt traditional media production workflows, offering new creative possibilities while also raising important ethical considerations around authenticity and content manipulation. We'll highlight recent advances in technology and software products embracing this new world.
AI Research Careers: From Research to Reality [S73849]
Tomasz Bednarz | Director of Strategic Researcher Engagement | NVIDIA
Oya Celiktutan | Associate Professor, Reader in AI and Robotics | King's College London
Travis Waller | Professor | TU Dresden
Yannis Ioannidis | Professor | University of Athens
Peter Coveney | Professor | University College London
Hear a panel of pioneering AI researchers share their personal journeys and the transformative impact of their work. Get insights into how their research has revolutionized real-world applications of AI, from generative AI and robotics to digital twins to urban planning, and more. Discover the challenges and triumphs of AI research. Discover the pathways to success in AI research, garnering motivation and actionable advice from those who've shaped the field, ensuring that you'll leave inspired and equipped to embark on your own AI research journey.
Insights and Strategies For Scaling Your Startup [S73541]
Alexander Martynau | Inception Community Manager, Nordics and CEE | NVIDIA
Philip Hutchinson | Sr. AI Strategist | appliedAI Institute for Europe
Stephane Requena | CTO | GENCI
Jacob Ramlov | Co-Founder and CAIO | Go Autonomous
Samantha Jérusalmy | Partner | Elaia
We'll explore critical factors driving startup success in today's dynamic landscape, with a particular focus on the transformative potential of AI. Hear a diverse panel of experts share real-life examples of ways startups can reach their full potential and access valuable support. You’ll gain practical knowledge, discover valuable resources, and connect with key players in the startup ecosystem. You’ll learn how to access funding opportunities and hear more about the tools, resources, and programs that are available to help startups across the life cycle.
Reshaping the Future of AI Filmmaking [S72649]
Haohong Wang | General Manager | TCL
In the rapidly evolving world of filmmaking, the fusion of AI and digitization is unlocking extraordinary creative possibilities. We'll first exploreg how AI-driven tools — such as Sora, Runway, Kling, Luma Dream Machine, and others — are revolutionizing traditional filmmaking workflows. Next, we’ll illustrate how digitization enhances both directability and visual quality in AI-assisted productions. Using MineStudio, an innovative AI-based filmmaking pipeline, we’ll demonstrate how advanced AI technologies like gaussian splatting, stable diffusion, and style transfer integrate seamlessly into producing diverse film genres, including comedy, sci-fi, horror, documentary, romance, and animation. We welcome developers passionate about AI-driven filmmaking to engage with and contribute to the MineStudio initiative, fostering innovations that will help shape the future of the industry.
Speech AI Demystified [S73113]
Elena Rastorgueva | Sr. Applied Research Scientist | NVIDIA
Sven Chilton | Deep Learning Developer Advocate | NVIDIA
Speech AI technologies such as automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) automate millions of conversations today. They provide customers with a personalized human-like experience through such applications as Virtual Assistant, Contact Center Agent Assist, and digital avatar. We’ll review a few inspiring use cases and solutions to common challenges faced by enterprises that are getting started with speech AI. Learn techniques for achieving world-class accuracy and customizing for your industry. We’ll also show the latest models, tools, and features in NVIDIA NeMo and Riva, demonstrate sample applications, and illustrate how to build a speech AI pipeline.
Accelerate Robotics Development With Digital Twins: Strategic Insights for Innovators [S73891]
Anthony Rizk | Innovation Lab Engineering Manager | idealworks
Elie Khoury | Engineering Manager Simulation | Idealworks
Explore how Idealworks builds on NVIDIA Isaac and Omniverse to revolutionize robotics through advanced simulation and synthetic data generation. We'll delve into how idealworks applies digital twins in single-robot use cases and advanced research. Learn about the practical use of vSLAM mapping, depth estimation with extended service set networks, and real-time 3D perception using nvblox in Isaac Perceptor. We’ll also discuss the creation of synthetic datasets using Omniverse extensions, accelerating our development cycles. Discover why companies should invest in simulation for industrial robotics development to save time, reduce costs, and streamline development.
Edge Computing 101: Introduction to Smart Edge and Autonomous Robots [S72890]
Chen Su | Sr. Technical Product Marketing Manager | NVIDIA
Discover the potential of NVIDIA's edge AI platform in transforming the future of smart edge and autonomous robotics. This session will provide an overview of the platform's capabilities across embedded edge, industrial edge, and enterprise edge environments. Learn about the best practices and software framework that enable AI-powered robots and intelligent vision systems from advanced sensor processing to real-time decision-making. Explore how these innovative technologies are creating generative physical AI systems and shaping industries across healthcare, retails, robotics, transportation, manufacturing and more.
Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.
Diffusion Models: The Swiss Army Knife for Generative AI in Science [S73269]
Arash Vahdat | Principal Scientist and Research Manager | NVIDIA
Diffusion models have transformed generative AI by enabling breakthroughs in diverse applications, such as images, videos, and speech. We'll show that these versatile frameworks extend beyond traditional domains and hold substantial potential for scientific data modeling. Through case studies spanning molecular generation, protein design, and weather modeling, we'll explore the unique opportunities and challenges involved in leveraging diffusion models to answer complex scientific questions.
Insights From NVIDIA's Kaggle Grandmasters: Winning Techniques for World-Class Model Building [CWE73747]
Jiwei Liu | Senior Data Scientist | NVIDIA
Chris Deotte | Sr. Data Scientist | NVIDIA
David Austin | Senior Data Scientist | NVIDIA
Theo Viel | Senior Data Scientist | NVIDIA
Gilberto Titericz Junior | Senior Data Scientist | NVIDIA
Kazuki Onodera | Senior Deep Learning Data Scientist | NVIDIA
Gain unique insights from NVIDIA's Kaggle Grandmasters, who've competed and earned top honors in hundreds of international data science competitions. The team brings deep expertise in generative AI, computer vision, natural language processing, forecasting, recommender systems, tabular data, signals, and graphs. Discover the latest tools and techniques winning competitions today, hear best practices for GPU acceleration across diverse use cases, and explore how these experts approach complex challenges. Bring your questions and learn directly from data science champions on optimizing model performance for real-world applications.
Important: Connect with the Experts sessions are interactive sessions that give you a unique opportunity to meet, in either a group or one-on-one setting, with the minds behind NVIDIA’s products and research to get your questions answered. Attendees can meet with experts on a first-come, first-served basis.