ACM AI/ML TechTalk Series
Check out the ACM AI/ML TechTalk Series with three distinguished AI/ML researchers. Fei-Fei Li, Director of the Stanford Artificial Intelligence Lab (SAIL) and Chief Scientist of AI/ML at Google Cloud, presents the key ideas and cutting edge advances in the quest for visual intelligence in computers, focusing on work done to develop ImageNet over the years in "ImageNet: Where Have We Been? Where Are We Going?"
In "Using Machine Learning to Study Neural Representations of Language Meaning," Tom Mitchell, E. Fredkin University Professor and former Chair of the Machine Learning Department at Carnegie Mellon University (CMU), discusses his machine learning approach to studying how the human brain uses neural activity to create and represent meanings of words, phrases, sentences, and stories.
ACM Fellow Eric Horvitz, Technical Fellow and Director of Microsoft Research Labs, shares reflections on promising directions with fielding AI solutions in the open world, where systems need to grapple with uncertainty and incompleteness and to work effectively with people in “AI, People, and the Open World.”
ACM offers lifelong learning resources including online books from Safari, online courses from Skillsoft, TechTalks on the hottest topics in computing and IT, and more.
Why I Belong to ACM
Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.