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

Developing Vascular Digital Twins to Shift from Reactive to Proactive Care

The emergence of digital twin technology is transforming healthcare by shifting the paradigm from reactive to proactive care. These sophisticated, personalized virtual models of human physiology are especially impactful in simulating vascular systems, enabling the noninvasive diagnosis and treatment of conditions like stenosis. However, practical deployment in clinical settings faces significant challenges, such as managing vast datasets, computational complexity, and the need for real-time processing. This talk will focus on how high-performance computing addresses these obstacles through the development of the Longitudinal Hemodynamic Mapping Framework (LHMF). Unlike current models limited to single-heartbeat simulations, LHMF enables continuous, long-term hemodynamic analysis, simulating over 4.5 million heartbeats with negligible error. I will present its deployment on both traditional and cloud-based platforms, demonstrating its scalability and clinical relevance.

Furthermore, the integration of continuous physiological data from wearable technologies with digital twin models offers new possibilities for monitoring disease progression over time. This synergy, combined with advances in virtual reality, enhances clinician interaction with complex models, facilitating early disease detection and personalized treatment planning. By leveraging advanced computational methods and digital health innovations, digital twins have the potential to revolutionize healthcare, driving a proactive approach that improves patient outcomes.

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.

2 October 2024 :

Lessons Learned from Building GitHub Copilots with Eddie Aftandilian

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

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

Lessons Learned from Building GitHub Copilots with Eddie Aftandilian

Introduction to Retrieval Augmented Generation with Abhinav Kimothi

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

Rush Shahani TechTalk

Christine Robson TechTalk