Take a closer look at the transformative technologies that are helping us take on the world’s greatest challenges–together.
Explore sessions transforming government and society
Join GTC to hear from industry and public sector leaders on how AI can benefit the government and society at large, lessons learned through early implementations, and where AI is headed.
Scaling AI in Government: A Look Ahead
> Suzette Kent | Former Chief Information Officer, US Federal Government
> Jack Shanahan | Retired Lieutenant General, Inaugural Director | Joint Artificial Intelligence Center
> Dawn Meyerriecks | Deputy Director for Science and Technology | Central Intelligence Agency
> Kristen Seaver | Former CIO, USPS
Join this session to learn about the strategic and tactical insights for scaling AI in government. Get a broad perspective from DOD, intel, and civilian agency leaders on, how to create successful AI initiatives and scale mission-critical solutions powered by AI.
Transforming Lockheed Martin By Applying AI Across The Board
> Justin Taylor | VP of AI, Lockheed Martin
Across the enterprise, nearly every business function is benefiting from AI-driven automation—from HR for talent matching and IT for help tickets, to quality for optimized assessments and engineering for accelerated product testing. In production operations, Lockheed Martin has already shifted to AI-based scheduling as they further automate their factories. A great example of applying AI directly for mission execution can be seen in the collaboration with NVIDIA and Lockheed Martin on their Cognitive Mission Manager program to fight and reduce the frequency of wildfires.
Featured Speakers
Fireside Chat: Driving Economic Innovation through Sovereign AI Infrastructure
Brendan Dalton
CIO, Australia's National Scientific and Industrial Research Organization
Featured Sessions
Global Public Sector
Join these sessions to learn how NVIDIA is implementing national AI strategies, as well as redefining how to approach cybersecurity, citizen services, smart cities, public health, and more.
-
The Role of AI in Smart and Sustainable Urbanization
> Shilpa Kolhatkar | Global Head of AI Nations Business Development, NVIDIA
> Amen Mashariki | Principal Scientist, NVIDIA
> Donnel Baird | CEO, Blocpower
> Dr. Oualid Ali | President, Future Cities Council
> Dan Zarrilli | Special Advisor, Climate & Sustainability, Columbia University in the City of New York
Learn how AI is playing a big role in making urbanization smarter, but also more sustainable.
-
Global Public Sector Climate Action
> Geoffrey Levene | Director Worldwide AI Initiatives , NVIDIA
> Victor Ohuruogo | Senior Africa Regional Manager , UN Foundation
> John Kamara | Founder, Adalabs, AI Center of Excellence
Learn about scientists who are receiving RTX 5000 mobile data science workstations, Deep Learning Institute (DLI) credits, and support from NVIDIA's Solution Architect team to accelerate workflows and help solve some of the most urgent climate change problems of our times.
-
The Making of Smart Cities
> Guy Elad, CIO and Director of Operations | Tel Aviv Municipality
> Ken Smith, Parking and Mobility Director | City of Omaha
> Clayton Garner | CIO, City of San Jose
> Michael Sherwood | CIO, City of Las Vegas
> Asfand Siddiqui | Senior Transport Engineer, CalTrans
> Brandy Stanley | Parking Services Manager, City of Las Vegas
Discover how our partners are managing smart infrastructure with NVIDIA Metropolis.
AI for Government
Hear from world-class speakers and experts from companies like Lockheed Martin, HPE, Marine AI, and more. Get the tools and resources you need to get started in AI and HPC.
-
Understanding Wildfire Behavior Using Machine Learning and Omniverse
> Lydia Carroll | AI Research Engineer, Lockheed Martin
> Jacob Sprague | AI/ML Software and Systems Architect, Lockheed Martin
Learn how researchers in wildfire protection are using NVIDIA Omniverse Enterprise to develop an environment for predicting fire behavior.
-
Cybersecurity: Real-Time AI Enabled SOAR for Edge Networks
> Vivian Richards | Senior Solutions Engineer, Splunk
> Jeffrey Winterich | DoD Account Chief Technologist, HPE
In this talk, we’ll demonstrate a solution that combines Splunk’s Cybersecurity and SOAR suite with NVIDIA Morpheus running on HPE’s Edgeline GPU-accelerated converged edge platform. See how this solution provides AI-enabled real-time monitoring and remediation of an edge network.
-
GPU-Accelerated Feature Extraction and Image Similarity in Pure Python
> Kevin Green | Senior Lead Technologist, NGA
> Matt Penn | Senior Data Scientist, NVIDIA
In this talk, we discuss an automated GPU-accelerated computer vision application in pure Python that can extract dynamically grayscale, rotation, and affine-invariant features and conduct image similarity. This can be used to rapidly geolocate an aerial image within a much larger reference aerial image from image pixel data only.
-
High-Performance Sensor Architectures at the Edge
> Ben Luke | Software Engineering Manager, Lockheed Martin Rotary Mission Systems (RMS)
> Zoe Ryan | Solutions Architect, NVIDIA
Get an outline of a deployment architecture that promotes the GPU to a networked device, bringing data center high-performance, high data-rate GPU processing to the edge using the NVIDIA data processing unit.
-
Developing Effective Inference Models for Autonomous Marine Navigation and Object Detection
> Don Scott | Chief Technology Officer, Marine AI
> Oliver Thompson | Engineer, Marine AI
The MarineAI team will show how they’re using inference models deployed on NVIDIA Jetson edge devices developed using the DeepStream SDK for navigation hazard object detection and classification, as well as novel ocean research.
AI for Climate Science
Join these sessions to learn how AI is transforming the way we tackle challenges related to our changing climate.
-
Building Digital Twins of the Earth in Omniverse
> David Matthew Hall | Senior Data Scientist, NVIDIA
Learn how we built a real-time weather twin and coupled it with Omniverse to produce an atmospheric river demo, as well as the steps needed to download, install, and begin building your own AI-accelerated digital twins of the Earth in the Omniverse environment.
-
Big Data in Climate and Earth Sciences: Challenges and Opportunities for Machine Learning
> Vipin Kumar | Regents Professor, University of Minnesota
Learn about challenges involved in analyzing massive datasets, as well as opportunities they present for advancing both machine learning and environmental sciences.
-
Scalable Data-Driven Global Weather Predictions at High Spatial and Temporal Resolutions
> John Taylor | Program Leader, CSIRO
Find out how data-driven methods are now in a position to drive the next wave of breakthroughs in weather and climate science.
-
Fourier Neural Operators and Transformers for Extreme Weather and Climate Prediction
> Anima Anandkumar | Director of ML Research, NVIDIA
> Karthik Kashinath | Senior AI Developer Technologist, AI-HPC, NVIDIA
> Farah Hariri | Senior Solutions Architect, NVIDIA
> Thorsten Kurth | Senior Software Engineer, NVIDIA
> Morteza Mardani | Senior AI Researcher, NVIDIA
> Jaideep Pathak | Deep Learning Engineer, NVIDIA
Learn about results on extreme weather prediction using AFNO and PINO at scale and how scaling, optimization, and performance challenges were addressed on three large supercomputing systems.
-
Mitigating Risk of Natural Disaster with GPU-Accelerated Analytics
> Mike Flaxman | Product Manager, OmniSci
> Abhishek Damera | Data Scientist, OmniSci
Learn how to reduce the risk of natural disaster by using machine learning models.
-
Developing Digital Twins for Weather, Climate, and Energy
> Karthik Kashinath | Senior AI Developer Technologist, AI-HPC, NVIDIA
> Akshay Subramaniam | Senior AI Developer Technology Engineer, NVIDIA
Learn how high-fidelity digital twins will allow climate scientists, researchers, and non-expert users to unfold the wealth of information in climate simulations and AI model predictions.
Join the GTC community by attending live sessions at our next event. Join our list to get all the details.