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].
View Our Recent TechTalk
The Impact of ML/AI on Networking and the Internet Over the Last Decade
In the past decade, it's indisputable that the fields of Machine Learning (ML) and Artificial Intelligence (AI) have advanced remarkably. Over the last 15 years, we've witnessed an explosion of ML algorithms and architectures, which have been widely adopted across various industries, including Healthcare, Vision, and Industrial Automation. The year 2023, with the advent of Generative AI, stands out as a landmark in AI's history, marking probably the most significant disruption in the past 40 years. The integration of Generative AI and Large Language Models into every facet of the technology industry signals the dawn of a new era.
In the realm of Networking and the Internet, the adoption of ML/AI has been unequivocal. Numerous products incorporating ML/AI have been developed and implemented on a large scale. These innovations address diverse needs, from detecting unusual network activities to making predictions and forecasting in a new Predictive Internet era. This has implications across multiple technologies like WiFi, Security, LAN, WAN, and the broader Internet, culminating in solutions widely utilized by customers today. The challenges encountered during the deployment years also offer valuable insights.
This talk aims to provide a comprehensive overview of how ML/AI has been applied in Networking, specifically in areas like Anomaly Detection, Predictive Networking, and Cognitive Networks. The concluding section will offer a glimpse into the future, highlighting upcoming products that incorporate Generative AI, potentially ushering in a new chapter for AI applications in Networking.
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.
Mae Milano TechTalk
View the recent ACM TechTalk, "Programming Distributed Systems," presented on Wednesday, March 13 at 12:00 PM ET/17:00 UTC by Mae Milano, Assistant Professor at Princeton University. Ethan Cecchetti, Assistant Professor at the University of Wisconsin, moderated the questions and answers session following the talk. Continue the discussion on ACM's Discourse Page.
Vinod Khosla TechTalk
View the recent ACM TechTalk, "Fireside Chat with Entrepreneur and Venture Capitalist Vinod Khosla. Stephen Ibaraki, member of the ACM Practitioner Board and Chair of the ACM Professional Development Committee, moderated the questions and answers session following the talk.