The Basics of AI and Deep Learning.One of the Godfathers of Deep Learning and World-renowned Authority on AI Research
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How Does AI Think?
You can’t have a discussion about AI without talking about deep learning. This lecture takes us through the basics of deep learning, which helped bring about the AI revolution, as we learn from one of the godfathers of AI, Yoshua Bengio.
In lecture one, “The Birth of Deep Learning,” we learn the basic principles of deep learning, of the which the roots can be traced back to our knowledge of human neural networks.
Lecture two, “A Machine That Reasons,” introduces us to generalization in deep learning, one of the artificial neural networks' ways of learning. What gives AI the ability to carry out a new task that it is unfamiliar with?
The third lecture, “Optimizing Artificial Neural Networks,” gives us an understanding of how AI effectively processes and learns from vast amounts of data. In lecture four, “A Machine That Creates,” we learn about some of the AI research that followed the birth of deep learning. How can AI technology create new images, defeat one of the world's masters of Baduk, and even understand and respond to what people say? Where is AI today? Where will AI lead us?
For the final lecture, “A Good AI,” we evaluate artificial intelligence as a tool used for the purpose of advancing humanity. We also find out why Yoshua Bengio raised his voice about the ethical use of AI in the 2017 Montreal Declaration.
Professor of Computer Science at Université de Montréal Director of the MILA, Montreal Institute for Learning Algorithms Turing Award (2018) Fellow of the Royal Society of Canada (2017) Fellow of the Royal Society of London (2020) Officer of the Order of Canada (2017) Killam Prize (2019) Legion d’honneur (2022)
Yoshua Bengio is a Canadian researcher of AI and professor of computer science at the Universite de Montreal. He is one of the early developers of deep learning, the core technology of AI, and is referred to as one of the four godfathers of AI, along with Geoffrey Hinton, Yann LeCun, and Andrew Ng. After reading a paper from Hinton in 1985, he turned his attention to neural networks research. He received the Turing Award in 2018 together with Hinton and LeCun for their contributions to the development of deep learning.
He continues to work in the field of AI at MILA, the Montreal Institute for Learning Algorithms, which he founded some 30 years ago. He is at the forefront of advocating for the ethical use of AI, one of the biggest issues surrounding the development and implementation of AI today.
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