LECTURES

Deep Learning for Self-Driving Cars : Lecture 5

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Preparing Our Economy for the Impact of Automation & AI: Robert Reich

Professor Reich comes to Google to discuss the impact of automation & artificial intelligence on our economy. He also provides a recommendation on how we can ensure future technologies benefit the entire economy, not just those at the top. Robert Reich is the Chancellor’s Professor of Public Policy at the University of California, Berkeley and Senior Fellow at the Blum Center for Developing Economies. He served as Secretary of Labor

Deep Learning for Self-Driving Cars : Lecture 4

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep Learning for Self-Driving Cars : Lecture 3

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep Learning for Self-Driving Cars : Lecture 2

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Introduction to Deep Learning and Self-Driving Cars from MIT

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Dr. Harry Shum on the future of AI at the 2017 Future Forum

Before computers can solve our greatest challenges, they must understand us. How can we make the leap from computers that perceive and identify objects or just words to a future where they comprehend and interpret the larger context of our world? How will the task-oriented bots of today evolve to agents that connect with us emotionally and improve our lives and our society? Artificial Intelligence will be the pivotal technology –

The Long-Term Future of Artificial Intelligence

Professor Stuart J. Russell (University of California, Berkeley) delivered a public lecture on Friday 15th May 2015 at the Centre for the Study of Existential Risk on the long-term future of Artificial Intelligence. The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be

The State of Artificial Intelligence

Professor Jennifer Neville, Associate Professor and Miller Family Chair of Computer Science and Statistics at Purdue University, talked about the history and future of artificial intelligence and about machine dialog systems called “Chatbots.” Professor Neville focuses her research on machine learning and data mining. Professor Neville’s research focuses on data mining and machine learning techniques for relational data. In relational domains such as social network analysis, citation analysis, epidemiology, fraud

Deep Learning Lectures at the University of Oxford by Nando de Freitas

Deep Learning Courses were taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. Slides are available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Deep Learning Lecture 1: Introduction Deep Learning Lecture 2: linear models Deep Learning Lecture 3: Maximum likelihood and information Deep Learning Lecture 4: Regularization, model complexity and data complexity (part 1) Deep Learning Lecture 5: Regularization, model complexity and data complexity (part 2) Deep