Addresses the critical challenges of ensuring AI systems are safe, secure, robust, and aligned with human values, including ethical considerations and preventing unintended consequences.
AI's bizarre logic
“The Waymo driver is more than 13 times safer than a human driver when it comes to serious injury causing collisions in the cities where we operate.”
“Our generation was born too late to explore the earth and too early to explore the stars. But we are born just in time to solve robotics.”
Dmitri Dolgov, a pioneer in autonomous vehicle technology for over two decades, shared Waymo's journey from its ambitious beginnings to its current exponential growth, emphasizing the critical role of persistence, a unique AI architecture, and an unwavering commitment to safety.
NVIDIA's Jim Fan, a leading voice in embodied AI, laid out a compelling vision for the future of robotics, drawing a 'Great Parallel' to the rapid advancements seen in large language models (LLMs). His presentation, 'Robotics' End Game,' detailed a strategic shift in model architecture, data acquisition, and simulation, predicting a future where robots achieve unprecedented levels of dexterity and autonomy.