Newly discovered principle reveals how adversarial training can perform robust deep learning
In machine learning, adversarial examples usually refer to natural inputs plus small, specially crafted perturbations that can fool the model into making mistakes. In recent years, adversarial examples have been repeatedly discovered in deep learning…
Teaching a robot to see and navigate with simulation
The ability to see and navigate is a critical operational requirement for robots and autonomous systems. However, building a real-world autonomous system that can operate safely at scale is a very difficult task. The partnership…