한국 연구자 및 교육자를 위한 컨퍼런스 세션

Don't miss this keynote from NVIDIA founder and CEO Jensen Huang. He'll share how NVIDIA's accelerated computing platform is driving the next wave in AI, digital twins, cloud technologies, and sustainable computing.

We'll show how Samsung has accelerated its optical proximity correction (OPC) workloads using NVIDIA GPUs and the newly adopted NVIDIA cuLitho. With increasing lithography complexity in semiconductor manufacturing, GPU acceleration through cuLitho has enabled Samsung to achieve significant performance improvements, enhancing both speed and efficiency in critical OPC processes.

Join us for a dynamic panel discussion with esteemed executives from top universities. We'll explore the transformative power of AI in higher education. Discover how these leading institutions are harnessing AI to enhance accessibility, innovate teaching methods, and future-proof their curricula. Dive into real-world case studies, emerging trends, and best practices for integrating AI into academia. This session is a must-attend for educators, administrators, and tech enthusiasts eager to shape the future of learning.

High-bandwidth memory (HBM) plays a key role in enabling high performance computing and generative AI, and is expected to see significant advancements in the coming years. We'll share HBM’s technical attributes, applications, and future implications so you can better understand the value of HBM, and how SK hynix leads the world in HBM technology and market.

This panel explores the transformative potential of artificial intelligence and accelerated computing in deciphering the complex drivers of urban climate change, and how it can help mitigate it. As cities, home to 4.4 billion people, grapple with increasing environmental challenges, including extreme heat waves driven by a combination of climate change and the urban heat island effect, these cutting-edge technologies offer unprecedented capabilities to analyze vast datasets, model intricate urban systems, and generate actionable insights for policymakers and urban planners. We'll delve into how AI-powered tools are revolutionizing climate modeling and weather forecasting, enabling high-resolution simulations of urban microclimates and their interactions with the built environment. Experts will discuss the application of generative AI, digital twins, and machine learning algorithms in processing and interpreting diverse data sources, including satellite imagery, internet-of-things sensor networks, and social media feeds, to provide a comprehensive understanding of urban heat islands, air pollution patterns, and energy consumption dynamics. We'll highlight accelerated computing's role in dramatically reducing computation time and energy consumption for climate simulations and show how it enables more frequent and detailed analyses of urban climate phenomena. We'll also cover innovative projects leveraging these technologies, such as digital twins of cities and AI-driven urban planning tools that optimize for climate resilience. Panelists will discuss the challenges and opportunities in implementing AI and accelerated computing solutions, including data privacy concerns, the need for interdisciplinary collaboration, the critical role of compute infrastructure, and strategies for ensuring equitable access to these technologies. We'll finish by exploring the potential of these technologies to inform evidence-based climate adaptation strategies and contribute to sustainable development goals.

Education often feels like a half-built bridge, struggling to connect what’s taught with how it’s used. Enter Evoke AI — a game-changer that transforms lessons from theory into vibrant, real-world experiences. Imagine a classroom where concepts aren’t just explained — they’re lived; where every student’s unique needs are met, and learning sparks true curiosity. Powered by NVIDIA’s technology, Evoke AI turns abstract ideas into interactive scenarios, making learning engaging and relevant. It’s not just about flashy tech; it’s about bridging gaps between theory and practice, teachers and students. Evoke AI empowers educators without replacing them, freeing up time by handling routine tasks so teachers can focus on building real connections. It caters to diverse learning needs, enhancing the joy of teaching and learning alike. Join us in making education not just smarter, but truly transformative.

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.

We present the PolymathicAI approach to building foundation models for scientific applications, with a focus on bridging the traditional boundaries between data modalities and scientific domains. See our results on building foundational surrogate models for fluids, trained on a wide diversity of different physical systems, as well as our research on multimodal foundation models to bridge different scientific data types, with a concrete example from the field of astrophysics.

Humanoid robotics hardware is seeing a major acceleration in progress. It's reasonable to expect commercially viable humanoid hardware to exist within three years. The question is, how do we build the AI that can make these robots helpful? Humanoids have high dimensional action spaces and high dimensional multimodal observation space, posing challenges to existing paradigms. We'll explore these challenges in more depth and highlight some promising paths forward.

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

Sakana AI is releasing a new reasoning benchmark. This benchmark is currently extremely hard, even for the best reasoning models. We believe that this will push AI progress forward. We'll also present brief overviews of other research projects at Sakana AI.

Cardiac MRI is the gold-standard imaging technique for evaluating many heart conditions, yet it encounters challenges like manual analysis, complexity, and the need for specialized training, which can affect its effectiveness and accessibility. Discover how Northwestern University and Quantiphi are revolutionizing cardiac MRI analysis through the integration of MONAI and the Triton Inference Server. We'll showcase a MONAI-based cardiac segmentation model designed to provide faster and more accurate results, ultimately enhancing patient outcomes.