ACM Learning Webinars

ACM members and non-member alike are welcome to attend our popular series of free Learning Webinars 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 webinars 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 webinars 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 webinar announcements, email

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Project Jupyter: From Computational Notebooks to Large Scale Data Science with Sensitive Data with Brian Granger

Project Jupyter is an open-source project that exists to develop software, open standards, and services for interactive and reproducible computing. The main application developed by the project is the Jupyter Notebook, a web-application that allows users to create documents that combine live code with narrative text, mathematical equations, and visualizations. Since its creation in 2011, the Jupyter Notebook has become a widely-used, open standard for developing, sharing, communicating, and reproducing computational work in scientific computing and data science.

In this talk I will give an overview of Project Jupyter and its open-source software and open standards for interactive and exploratory computing. Examples of its usage across a broad range of industries, disciplines and organizations will be used to illustrate the main ideas upon which Jupyter is founded. I will end by sketching our current work on JupyterLab, JupyterHub, and Binder and show how it is leading to 1) new challenges with large scale data science within complex organizations and 2) legal, ethical and technical questions regarding sensitive data.

ACM Learning Center Webinar 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 Learning Webinars, free for members and non-members alike.

Webinars 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.

Concurrent Object-Oriented Programming

Register now for the next ACM Learning Webinar, "Concurrent Object-Oriented Programming," presented live by Bertrand Meyer, CTO of Eiffel Software, on November 15 at 12:00 PM ET. Leave your questions now or anytime before the live event on ACM's Discourse Page.

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Explainable Machine Learning Models for Healthcare AI

View the most recent ACM Learning Webinar, "Explainable Machine Learning Models for Healthcare AI," on demand. This talk was presented by Ankur Teredesai, Dr. Carly Eckert, Muhammad Aurangzeb Ahmad, and Vikas Kumar of KenSci. Continue the discussion and checkout further resources on ACM's Discourse Page.

Image of Ankur Teredesai