Skip to 0 minutes and 6 seconds From Ada Lovelace’s pioneering work in the 1840s until the first decade of this century, we have relied on expert computer programmers to design and write software. Now, a whole new branch of computer science called machine learning is allowing computers to create their own software by learning from data. This allows us to solve problems that were previously too complex for humans to code. Our researchers here in the Department of Computer Science at the University of York are pushing the boundaries in machine learning for computer vision, natural language processing and robotics. They are also developing new ways to verify the safety and security of autonomous systems whose software relies on machine learning.
Skip to 0 minutes and 58 seconds These technologies will have a direct impact on the way we lead our lives in the future. In this course, we will introduce you to deep learning, a form of machine learning that has provided performance breakthroughs across a whole host of areas. As well as fundamental theory and techniques, you will see how it can be used in applications such as face recognition, self-driving cars and robotics. We will also consider ethical implications such as learning from personal or biased data and trusting your safety to a learnt system that no human can understand. Join us for a journey into the world of deep learning and gain an insight into tomorrow’s intelligent systems.
