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GTC is packed with breakthroughs in AI, graphics, accelerated computing, data center, and more. Choose from hundreds of sessions that deep dive into a wide range of industry use cases—from self-driving cars to medical research—and explore the most transformative technologies of our time. 

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Search sessions from the previous GTC on topics you care about. Get ready for what’s to come.

Session catalog for next GTC will be open week of September 20.


Modern Artificial Intelligence 1980s-2021 and Beyond

This talk will cover modern AI featuring very deep neural networks, with emphasis on Metalearning since 1987, "the miraculous year of deep learning".

Deep Learning Demystified

This talk will cover demystifying AI, machine learning, and deep learning. Better understand the key challenges organizations face in adopting this new approach and how to address them, and learn about the latest tools and technologies, along with training resources, that can help deliver breakthrough results.

A Vision for the Future of ML Frameworks

This talk will recap machine learning frameworks through the lens of a few variables and factors, and then project the future for ML frameworks as a distribution over these variables. Finally, we'll float a few ideas of how the future might look like, based on some general bets.

Conversational AI Demystified

This session will give an overview of the conversational AI landscape and discuss how an organization can start developing these applications.

Accelerated ETL, Training, and Inference of Recommender Systems

Watch this session to learn about the NVIDIA Merlin framework for accelerating recommender systems on GPUs, consisting of NVTabular for ETL, HugeCTR for training, and Triton for inference serving.

The Energy-Based View of Self-Supervised Learning

Watch this session to learn about one of the hottest sub-topics of machine learning in recent times—Self-Supervised Learning (SSL).


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De-Risking AI in 2021 and Beyond with New Approaches to Infrastructure

This session will explore new approaches that accelerate the ROI of AI with end-to-end AI experimentation and workflow, streamlined management of users, jobs, data sets, and more.

Solving the AI Infrastructure Dilemma in 2021

Tune in to explore how IT leaders and their technical infrastructure teams simplify the design, delivery, and use of AI infrastructure that’s based on proven best practices from thousands of deployments.

A Vision for the Next Decade of Computing

Arm President Rene Haas discusses the forces pushing these advances and how Arm’s global developer ecosystem will react to drive the next wave of compute.

Accelerating AI At-Scale with Selene DGXA100 SuperPOD and Parallel Filesystem Storage

Learn about the behavior of data-intensive workloads on the Selene DGXA100 SuperPOD deployment and DDN’s A3I storage. This talk will showcase the impact of using a parallel filesystem to optimize the data path and maximize GPU utilization for high-performance AI workloads.

Leaders in AI Panel Discussion: AI Journey from Concept to Scale

We invited leaders in AI to discuss how AI has impacted their organization and business. We'll explore what drove them to adopt an AI vision and update their strategies, as well as how it impacted their business. Map out your own path to AI by hearing how other industry leaders went through their own AI journey from concept to scale.

Final Report–National Security Commission on Artificial Intelligence

NSCAI Commissioner Christopher Darby will provide an overview of NSCAI’s final report to Congress. This report argues AI is core to U.S. national security and competitiveness and outlines steps the United States government must take to ensure it retains AI leadership.


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Rethinking Drug Discovery in the Era of Digital Biology

Hear about a new approach to drug development that uses high-quality data and ML models to design transformative therapies that help more people, more quickly, and at a lower cost.

Accelerating the AI Healthcare Era

Computing is an essential part of the AI healthcare era, from expediting in-silico drug development to the creation of AI models at a global scale to deploying AI skills where our healthcare professionals need them.

Genomes on GPUs: From Big Data to Fast Results

GPU-based parallel processing of sequencing data is now addressing the myriad of bottlenecks that occur across the computational genomics workflow.

Panel With Healthcare Giants: The State of Healthcare AI Startups

Hear from GE, Nuance, AWS, and Dell on the latest healthcare AI startups trends to watch, challenges in AI adoption, deployment-at-scale best practices, and healthcare ecosystem support.

Gatortron - The Biggest Clinical Language Model

Learn about the largest clinical language model to-date, trained using clinical notes available from the University of Florida health system trained on records from more than 50 million interactions with 2 million patients.

AI in Medical Imaging and Smart Devices

Join Terrence Chen—CEO of U.S., United Imaging Intelligence—to learn about medical AI solutions covering a full spectrum of imaging modalities, as well as applications in the whole imaging workflow.


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Convergence of AI and HPC to Solve Grand Challenge Science Problems

This talk will discuss the award-winning work that was recognized at the recent SC20 event with the Gordon Bell for COVID competition, and provide insight into how the methods were applied and their future plans.

A Deep Dive into the Latest HPC Software

Watch this session that covers topics of interest to HPC developers, targeting traditional HPC modeling and simulation, HPC+AI, scientific visualization, and high-performance data analytics.

Present and Future of Accelerated Computing Programming Approaches

Watch this panel of experts as they debate the ultimate answer for the future parallel programmer.

High-Fidelity Physics in Omniverse: Validation and Verification of Realistic Muscle Simulations

This presentation targets developers and practitioners alike in the fields of physics-based simulations and computer graphics.

Fusing HPC and AI on the Exascale for Matter Under Extreme Conditions

This presentation will show what building blocks are necessary to fuse exascale HPC and AI in a streaming fashion.

Introducing Cloud-Native Supercomputing: Bare-Metal, Secured Supercomputing Architecture

This session will introduce the new supercomputing architecture, and include first-applications performance results.


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Human-Inspired Inductive Biases for Causal Reasoning and Out-of-Distribution Generalization

Although this talk will rest on a series of recent papers on these topics (i.e., on learning causal and/or modular structure with deep learning), much of it will be forward-facing and suggest open research questions in the hope of stimulating novel investigations and collaborations.

How to Represent Part-Whole Hierarchies in a Neural Net

Learn the single idea about representation that allows advances made by several different groups to be combined into an imaginary system called GLOM.

The Energy-Based View of Self-Supervised Learning

Watch this session to learn about one of the hottest sub-topics of machine learning in recent times—Self-Supervised Learning (SSL).

Modern Artificial Intelligence 1980s-2021 and Beyond

This talk will cover modern AI with very deep neural networks, with emphasis on Metalearning since 1987 and "the miraculous year of deep learning".

Accelerated Data Science in the Classroom: Teaching Analytics and Machine Learning with RAPIDS

This session introduces a novel yet reproducible approach to teaching data-science topics in a graduate data science course.

Realizing the Vision of an AI University

This lively panel will equip you with all you need to know on the importance of developing a vision and mission for AI at your university and how to deploy these successfully.


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BMW's Approach to a Holistic Digital Twin Using NVIDIA's Omniverse

The need for digital twins is unquestioned, What stands between lighthouse projects and a truly holistic approach to integrating all existing data stores and CAD systems is the need for a common platform. Hear about BMW's ongoing progress in harmonizing access to these silos using NVIDIA Omniverse™.

Using GPUs for High-Throughput, High-Fidelity Flow Simulations

This talk will discuss recent experience from the acceleration of Cascade Technologies’ flow solver, charLES, using GPUs, and its application to problems of industrial relevance.

Bridging the Sim2Real Gap: Simulation Tuning for Training Deep Learning Robotic Perception Models

This session will dive into how NVIDIA is bridging the gap between simulation and reality with domain randomization, photorealistic simulation, and accurate physics imitation with Isaac Sim™.

Accelerating Visual Inspection of Vehicle Underbody for Faulty Detection through Deep Learning

Watch this session to learn how AI technology accelerated by GPU can be implemented in in-process visual inspection of the automotive industry.


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Introduction to RTX Technology and the Omniverse Platform

This session will introduce NVIDIA RTX™ technology at a very high level (shaders, RT cores and Tensor cores), then introduce the Omniverse platform.

Omniverse Physics

This session introduces the simulation capabilities of Omniverse. In particular, we'll show how Omniverse uses technologies like NVIDIA® PhysX® 5, Blast, and Flow to provide spectacular real-time rigid-body and fluid dynamics.

Introduction to USD

This session introduces Universal Scene Description (USD), an open-source software from Pixar Animation Studios that's used as the core representation of the 3D world within NVIDIA's Omniverse platform.

Making of Marbles RTX

In this video, we will go over the making of the Marbles RTX demo, from both an artistic and technical standpoint.


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