As is now customary around this time of year, we’ll be running back the clock with our second annual AI Rewind Series! Joined by a few friends of the show, we’ll be reviewing the papers, tools, use cases and other developments that made a splash in 2019 in key fields like Machine Learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning and Ethical AI.
As always, we’d love to hear your thoughts on this series, including anything we might have missed. Drop your thoughts, feedback or favorite papers via twitter @samcharrington, or via a comment below.
TWIML Presents: AI Rewind 2019
TWIML Talk #334Trends in Machine Learning & Deep LearningZach Lipton, CMU
TWIML Talk #335Trends in Reinforcement LearningChelsea Finn, Stanford University
TWIML Talk #336Trends in Fairness and Ethical AITimnit Gebru, Google
TWIML Talk #337Trends in Natural Language ProcessingNasrin Mostafazadeh, Elemental Cognition
TWIML Talk #338Trends in Computer VisionAmir Zamir, Swiss Federal Institute of Technology