Balint Pasztor

Balint Pasztor, CEO of Diffuse Drive and former robotics engineer at Bosch, tackles the intricate challenges of data scarcity in AI. He explains how synthetic data can revolutionize the training of autonomous systems, condensing years of data collection into mere hours. Balint dives into the significance of edge cases for safety, the workings of diffusion models for realistic data generation, and a unique three-step approach to optimize AI performance. His insights are essential for anyone interested in the future of robotics and autonomous technology.