ACM TechTalks

ACM members and non-member alike are welcome to attend our popular series of free TechTalks by expert industry professionals, distinguished ACM award laureates, and visionary researchers from industry and academia. Focused on keeping our global audience of busy practitioners at the forefront of technical trends, professional development, and emerging technologies, the TechTalks are also popular with students and educators. Recent talks have covered topics in Artificial Intelligence and Machine Learning, Big Data and Data Science, Blockchain, Computer Vision, Deep Learning, JavaScript, Microservices, Python, Quantum Computing, and more. Registration is free and the TechTalks can be attended both live and on-demand, on desktop and mobile devices. Check this page frequently for upcoming events as well as our on-demand archive. To subscribe to our TechTalk announcements, email learning@acm.org.

View Our Recent TechTalk

 

"Recommender Systems: Beyond Machine Learning" with Joseph Konstan

Recommender systems help users find items of interest and help websites and marketers select items to promote. Today's recommender systems incorporate sophisticated technology to model user preferences, model item properties, and leverage the experiences of a large community of users in the service of better recommendations. Yet all too often better recommendations—at least by traditional measures of accuracy and precision—fail to meet the goal of improving user experience. This talk will take a look at successes and failures in moving beyond basic machine learning approaches to recommender systems to emphasize factors tied to user behavior and experience. Along the way, we will explore approaches to combining human-centered evaluation with data mining and machine learning techniques.

ACM Learning Center TechTalk Archive

ACM award winners, leading researchers, industry veterans, thought leaders, and innovators address today and tomorrow's hottest topics and issues in computing for busy practitioners, as well as educators, students, and researchers. Check out our archive of these ACM TechTalks, free for members and non-members alike.

TechTalks on Artificial Intelligence & Machine Learning

Talks from some of the leading visionaries and bleeding-edge researchers in AI/ML: Fei-Fei Li on visual intelligence in computers and ImageNet; Eric Horvitz on AI solutions in the open world; and Tom Mitchell on using ML to study how the brain creates and represents language.

PyTorch: A Modern Library for Machine Learning

Please Note: This event has been postponed until further notice.

Register now for the next ACM TechTalk, "PyTorch: A Modern Library for Machine Learning," presented on Thursday, November 21 by Adam Paszke, co-author and maintainer of PyTorch. Erik Meijer, Director of Engineering at Facebook, Founder and CEO of Applied Duality, and member of the ACM Queue Editorial Board, will moderate the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

Image of Adam Paszke

Rust: In It for the Long Haul

View the most recent ACM TechTalk, "Rust: In It for the Long Haul," presented on Friday, November 1 by Carol Nichols, co-author of The Rust Programming Language book and co-founder of Integer 32, the world’s first Rust-focused consultancy. Jake Goulding, co-founder of Integer 32 and member of the Rust Infrastructure Team, moderated the Q&A. Continue the discussion on ACM's Discourse Page.

Image of Carol Nichols