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 [email protected].

ACM TechTalks

View Our Recent TechTalk

From ML Engineering to AI Engineering

This talk explores the unique challenges of productionizing foundation models compared to traditional machine learning models. Despite sharing some core principles, foundation models introduce new complexities due to their open-ended nature, advanced capabilities, and computational demands. Key changes include shifting from closed-ended to open-ended evaluation, from feature engineering to context construction, and from structured data to unstructured data.

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.

9 July 2024 :

Understanding the LLM Development Cycle: Building, Training, and Finetuning with Sebastian Raschka

8 May 2024 :

Design is Testability with Titus Winters

13 March 2024 :

Programming Distributed Systems with Mae Milano

ACM TechTalks

Abhinav Kimothi TechTalk

Register now for the next free ACM TechTalk, "Introduction to Retrieval Augmented Generation: What Is It and Why Should You Pay Attention," presented on Thursday, September 12 at 12:00 PM ET/16:00 UTC by Abhinav Kimothi, Co-Founder and VP of AI at Yarnit. Marlene Mhangami, Senior Developer Advocate at Microsoft, will moderate the the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

ACM ByteCast

Jan Bosch TechTalk

View the recent ACM TechTalk, "Software Product Management: From Opinions to Data-Driven Experimentation," presented by Jan Bosch, Professor at Chalmers University Technology, Sweden. Will Tracz, former chair of ACM SIGSOFT and member of the ACM Professional Development Committee, moderated the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

ACM TechTalks

View Our Recent TechTalk

ACM Learning Center TechTalk Archive

TechTalks on Artificial Intelligence & Machine Learning

View Latest Learning Center TechTalks

Understanding the LLM Development Cycle: Building, Training, and Finetuning with Sebastian Raschka

Design is Testability with Titus Winters

Programming Distributed Systems with Mae Milano

Abhinav Kimothi TechTalk

Jan Bosch TechTalk