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Concurrent Object-Oriented Programming with Bertrand Meyer
The future of programming is parallel. We have run out of ways to make processors faster, and instead we have to use many of them. Programming techniques and languages have not followed. In the words of a report by the National Research Council, parallel programming still requires “heroic programmers.” This webinar is focused on making parallel and concurrent programming accessible, even to the non-heroes among us. In fact, programming of any kind used to be the preserve of heroes, but progress in software technology made it possible to produce quality programs on a routine basis using well-documented engineering techniques such as (among others) OO principles. We will see how to extend this modern engineering approach to concurrent systems through the SCOOP mechanism (Simple Concurrent Object-Oriented Programming), an incremental extension to accepted OO techniques including Design by Contract.
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.
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.
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Register now for the next free ACM Learning Webinar, "Designing an ML-Minded Product and a Product-Minded ML System," presented live on Wednesday, January 23 at 12 PM ET/9AM PT. Grace Huang, data science manager at Pinterest, leads the discussion. Ankur Teredesai, co-founder and CTO of KenSci, will moderate the talk and questions from the audience. Continue the discussion and check out further resources on ACM's Discourse Page.
View the most recent ACM Learning Webinar, "Break Into AI: A Q&A with Andrew Ng on Building a Career in Machine Learning," on demand. Andrew Ng, a globally recognized leader in AI, leads the discussion. Juan Miguel de Joya, in-house consultant for AI and Emerging Technologies at the UN ITU, moderated the talk and questions from the audience. Continue the discussion and check out further resources on ACM's Discourse Page.