AMLD2018 - Łukasz Kidziński, Stanford University: How to resurrect artists and cure diseases?
AMLD2018 - Alexandra Gunderson, Arundo Analytics: Leveraging data science in heavy industry
AMLD2018 - Patrick Barbey, Innovaud: VAUD Startups Spotlight
AMLD2018 - Martin Vetterli, EPFL: Trust in the Digital Age
AMLD2018 - Eyal Toledano, Zebra Medical Vision: Transforming Medical Imaging through AI
AMLD2018 - Olga Russakovsky, Princeton University: The human side of computer vision
AMLD2018 - Pascal Fua, EPFL: Mapping the Brain: Machine Learning to the Rescue
AMLD2018 - Joanna Bryson, Bath & Princeton Universities: There is no AI ethics
AMLD2018 - Kevin Schawinski, ETH Zurich: Exploring the universe with AI
AMLD2018 - Christopher Bishop, Microsoft Research: Model Based Machine Learning
AMLD2018 - Raia Hadsell, DeepMind: Deep reinforcement learning in complex environments
AMLD2018 - Claudiu Musat, Swisscom: Natural Language Processing in the Enterprise - one year after
AMLD2018 - AI Music Generation Challenge
AMLD2018 - Yosef Akhtman, Gamaya: Environmental AI: High Flying, Far Walking and DL
AMLD2018 - Panel: AI in the Real World - Jeremiah Harmsen, Olga Russakovsky, Claudiu Musat
AMLD2018 - Panel: AI & Society - Joanna Bryson, Martin Vetterli, Raia Hadsell, Christopher Bishop
AMLD2018 - Soumith Chintala, Facebook: Dynamic Deep Learning: a paradigm shift in AI research
AMLD2019 - Track summary
European Union Directives: The Journey to the 7th AMLD
5 5 22 Efficient AI Arundo
