The Nvidia BB8, named after the adorable robot from the newest 'Star Wars' film, is a self-driving car that drives just like humans. While other autonomous vehicles drive based on rules of programming assigned by the scientists who designed them, the Nvidia BB8 uses a neural network to learn from human drivers and adopt their techniques.
The Nvidia BB8 (or, more accurately, its deep learning technology) began learning how to drive in Nvidia's parking lots. After successfully learning to navigate courses consisting of orange traffic cones, the system advanced to the point where it could successfully and drive on real roads.
Driving is hugely variable, with people adapting to conditions on the fly, but the Nvidia BB8 has been able to keep up with unforeseen scenarios like roads without lane markings and construction zones.
Why This Trend Is Growing
- Machine Learning Cars
- The Nvidia BB8 uses machine learning to drive like humans, presenting an opportunity for disruptive innovation in the autonomous vehicle industry.
- Neural Network Learning
- The deep learning technology of the Nvidia BB8 enables it to learn from human drivers, opening up disruptive innovation possibilities in the field of artificial intelligence.
- Adapting to Unforeseen Scenarios
- The ability of the Nvidia BB8 to navigate unforeseen situations like roads without lane markings and construction zones suggests potential disruptive innovation in the development of robust self-driving systems.
Industries Being Reshaped
- Automotive
- The self-driving capabilities and machine learning technology of the Nvidia BB8 hold disruptive innovation potential in the automotive industry.
- Artificial Intelligence
- The neural network learning approach of the Nvidia BB8 presents disruptive innovation opportunities in the field of artificial intelligence.
- Technology
- The advancement of machine learning cars like the Nvidia BB8 has disruptive innovation implications in the technology industry.
