Invited Speakers/Panelists

Yoshua Bengio is Full Professor in the Department of Computer Science and Operations Research at Université de Montreal, as well as the Founder and Scientific Director of Mila and the Scientific Director of IVADO. Considered one of the world’s leaders in artificial intelligence and deep learning, he is the recipient of the 2018 A.M. Turing Award with Geoff Hinton and Yann LeCun, known as the Nobel prize of computing. He is a Fellow of both the Royal Society of London and Canada, an Officer of the Order of Canada, and a Canada CIFAR AI Chair.

Since age 15 or so, the main goal of professor Jürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. His lab's Deep Learning Neural Networks based on ideas published in the "Annus Mirabilis" 1990-1991 have revolutionised machine learning and AI. By the mid 2010s, they were on 3 billion devices, and used billions of times per day through users of the world's most valuable public companies, e.g., for greatly improved (CTC-LSTM-based) speech recognition on all Android phones, greatly improved machine translation through Google Translate and Facebook (over 4 billion LSTM-based translations per day), Apple's Siri and Quicktype on all iPhones, the answers of Amazon's Alexa, and numerous other applications. He is recipient of numerous awards, author of over 350 peer-reviewed papers, and Chief Scientist of the company NNAISENSE, which aims at building the first practical general purpose AI.

Director of the Max Planck Institute for Intelligent Systems in Tübingen, Germany, Professor Schölkopf has built a strong reputation within the machine learning community for his work on causality, a key ingredient to metacognition.

Known for her research on memory, Professor Ghetti's expertise includes meta-memory - a pioneering subfield in the development of human metacognition.

Jiangying Zhou became a DARPA program manager in the Defense Sciences Office in November 2018, having served as a program manager in the Strategic Technology Office (STO) since January 2018. Her areas of research include machine learning, artificial intelligence, data analytics, and intelligence, surveillance and reconnaissance (ISR) exploitation technologies. She previously oversaw the Competency-Aware Machine Learning initiative, which was aimed at exploring automated agents that are aware of their own abilities and failings.