ACM TechTalks

ACM members and non-members 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

Machine Learning for Algorithm Design with Maria Florina Balcan

The classic textbook approach to designing and analyzing algorithms assumes worst-case instances of the problem, about which the algorithm designer has absolutely no information at all. Unfortunately, for many problems such worst-case guarantees—either for solution quality or running time or other performance measures—are often weak. Consequently, rather than using off the shelf algorithms that have weak worst-case guarantees, practitioners often employ a data-driven algorithm design approach; specifically, given an application, they use machine learning and instances of the problem from the specific domain to learn a method that works best in that domain. Historically, such algorithmic techniques have come with no performance guarantees. In this talk, I will describe our recent work that helps put data-driven algorithm design on firm foundations. I will describe both specific case studies and general principles applicable broadly to a variety of combinatorial problems.

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.

The Essence of Software (Or Why Systems Often Fail by Design, and How to Fix Them)

Register now for the free ACM TechTalk, "The Essence of Software (Or Why Systems Often Fail by Design, and How to Fix Them)", presented on Wednesday, December 1 at 12:00 PM ET/9:00 AM PT, by Daniel Jackson,  ACM Fellow and Professor of Computer Science at MIT. George Fairbanks, Software Engineer at Google, will moderate the qestions and  answers session following the talk. Continue the discussion on ACM's Discourse Page.

Image of Daniel Jackson

Getting Started with Kubernetes

View the recent ACM TechTalk, "Getting Started with Kubernetes," presented by Nigel Poulton, Kubernetes and Docker trainer and author.  Dominic Holt,  CEO of Harpoon Corp and a member of the ACM Professional Development Committee, moderated the qestions and  answers session following the talk. Continue the discussion on ACM's Discourse Page.

Image of Nigel Poulton