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

Lessons Learned from Building GitHub Copilots

In recent years, AI developer tools have progressed from research projects to critical parts of the developer toolset. Today, there are over 1.8 million paid subscribers to GitHub Copilot, Google reports that 50% of their code is written with AI assistance, and TabNine estimates that 5% of all code is written by AI. These numbers will only increase as these tools continue to improve and gain further traction among developers.

Researchers in the machine learning, programming languages, and software engineering communities continue to push the boundaries of what is possible, but turning promising research results into tools that are useful at scale is hard. It involves determining the right use cases, designing the right UX, evaluating and improving quality, and many other factors.

In this talk, I will discuss how to bridge the demo-to-real-world gap via lessons learned from building several AI developer tools at GitHub, including the original GitHub Copilot, Copilot for Docs, and Copilot Workspace.

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.

12 September 2024 :

Introduction to Retrieval Augmented Generation with Abhinav Kimothi

20 August 2024 :

Software Product Management: From Opinions to Data Driven Experimentation with Jan Bosch

27 June 2024 :

From ML Engineering to AI Engineering with Chip Huyen

ACM TechTalks

Rush Shahani TechTalk

Register now for the next free ACM TechTalk, "Research to Reality: Building Production-Ready LLM Apps Users Can Trust," presented on Thursday, December 12 at 2:00 PM ET/19:00 UTC by Rush Shahani, CTO and Co-Founder of Persana AI. Oana Olteanu, ML Engineer at SignalFire, will moderate the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.

ACM TechTalks

Christine Robson TechTalk

View the recent ACM TechTalk, "Product Management in the AI Era," presented by Christine Robson, Product Manager Director for AI Data at Google. Eve Andersson, Senior Director, Google 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

Introduction to Retrieval Augmented Generation with Abhinav Kimothi

Software Product Management: From Opinions to Data Driven Experimentation with Jan Bosch

From ML Engineering to AI Engineering with Chip Huyen

Rush Shahani TechTalk

Christine Robson TechTalk