General Intelligence (GI) is revolutionizing the concept of autonomous driving with a groundbreaking approach centered around reinforcement learning. and Autonomy 2.0 approach. This innovative strategy is poised to redefine self-driving vehicles, making them not only more cost-effective but also more technically scalable and robust than current systems. Our unique approaches are not just groundbreaking; they are revolutionizing the industry. Multitask Learning: Inspired by the Human Brain: We draw inspiration from the human brain's remarkable ability to multitask, and we've implemented this concept into our autonomous driving technology. Our one-shot network seamlessly performs a range of essential scene-understanding tasks, including 2D detections, semantic segmentation, and monocular depth estimation. What sets us apart is our real-time capability, achieving over 60 frames per second (fps) on consumer-grade GPU hardware. This innovation not only enhances performance but also addresses the critical challenges of computation and cost, making our technology both efficient and accessible. Data-Driven Simulator: Scaling Safely and Cost-Efficiently: In an industry where understanding software requires logging millions of miles on real roads—a costly and inherently risky endeavor—we're changing the game with our Data-Driven Simulator. This advanced simulation technology offers an unprecedented level of fidelity, allowing us to comprehensively test the entire software stack. By reducing our reliance on real-world road testing, we're not only making development faster but also significantly safer. Our commitment to efficiency, safety, and innovation is paving the way for a world where self-driving technology is both accessible and transformative.
