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March 17 - March 21, 2024
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https://www.nvidia.com/gtc/
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March 17 - March 21, 2024
The In-Person GTC Experience Is Back
Come connect with a dream team of industry luminaries, developers, researchers, and business strategists helping shape what’s next in AI and accelerated computing.
From the highly anticipated keynote by NVIDIA CEO Jensen Huang to over 900 inspiring sessions, 200+ exhibits, 20+ technical workshops, and tons of unique networking events, GTC delivers something for every technical level and interest area. Whether you join us in person or virtually, you’re in for an incredible experience at the conference for the era of AI. Register today.
Robotics and the Role of AI: Past, Present, and Future
Advances in artificial intelligence have enabled breakthroughs in several fields, including computer vision and natural language processing in both academia and industry. In this fireside conversation, NVIDIA’s senior director of robotics research, Dieter Fox, will be joined by Marc Raibert, the executive director of The AI Institute, to discuss how artificial intelligence has impacted robotics, from the traditional controls era to today.
Robotics in the Age of Generative AI
Generative AI is taking automated common-sense reasoning, task planning, and perception to a new level. It is also revolutionizing synthetic data generation, human-computer interaction, and multimodal understanding. Collectively, these are some of the key capabilities required for robots to understand our world and provide humanity with accessible, versatile physical assistance for day-to-day tasks. The key missing ingredient is for generative AI to also understand physical interaction. I’ll sketch a future in which embodied AI is a natural extension of the revolution that large multimodal models are ushering, and its implications for the future of collaborative robotics and human-centered AI at large.
Human-Level Performance with Autonomous Vision-Based Drones
Autonomous drones play a crucial role in search-and-rescue, delivery, and inspection missions, and promise to increase productivity by a factor of 10. However, they’re still far below human pilots in terms of speed, versatility, and robustness. What does it take to fly autonomous drones as agile as, or even better than, human pilots? Autonomous, agile navigation through unknown, GPS-denied environments poses several challenges for robotics research in perception, learning, planning, and control. I’ll show how the combination of both model-based and machine learning methods, united with the power of new, low-latency sensors (such as event cameras), can allow drones to achieve unprecedented speed and robustness by relying solely on onboard computing. This can result in better productivity and safety of future autonomous aircraft.
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https://www.nvidia.com/gtc/
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