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

The Death of Work: Leading Effective Engineering Teams

The current climate in the industry has engineering leaders across the globe leading through massive change: team efficiency, location, budget constraints, and more. How are teams excelling in these environments and what can we do to support them? We'll talk about anti-patterns, and positive support we can offer to help people do their best work, backed by 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.

12 February 2025 :

Unlock Hugging Face: Simplify AI with Transformers, LLMs, RAG, Fine Tuning with Wei-Meng Lee

23 January 2025 :

Testing the System: A Holistic Approach to Security in Systems Development with Scott Tilley

12 December 2024 :

Research to Reality: Building Production Ready LLM Apps Users Can Trust with Rush Shahani

ACM TechTalks

Building Reliable AI Agents and LLM Apps Using LangChain and LangGraph

Register now for the next free ACM TechTalk, "What's Differrent about LLM Apps," presented on Thursday, May 8 at 12:00 PM ET/17:00 UTC by Mayo Oshin, an AI engineer and early pioneer of LangChain, and Nuno Campos, Software Engineer at LangChain. Marlene Mhangami, Senior Developer Advocate at Microsoft and Vice-Chair of the ACM Practitioner Board, will moderate the questions and answers session following the the talk. Continue the discussion on ACM's Discourse Page.

ACM TechTalks

Empirical Software Design: When & Why

View the recent ACM TechTalk, "Empirical Software Design: When & Why," presented by software engineer Kent Beck. Margaret-Anne Storey, a professor of computer science and a Canada Research Chair in human and social aspects of software engineering, 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

Unlock Hugging Face: Simplify AI with Transformers, LLMs, RAG, Fine Tuning with Wei-Meng Lee

Testing the System: A Holistic Approach to Security in Systems Development with Scott Tilley

Research to Reality: Building Production Ready LLM Apps Users Can Trust with Rush Shahani

Building Reliable AI Agents and LLM Apps Using LangChain and LangGraph

Empirical Software Design: When & Why