Join us at this event to gain valuable insights into static program analysis, a crucial technique for software engineers and programmers to improve software quality and performance. Learn how static analysis can help you understand, verify, and optimize your programs, with a focus on numerical static analysis and popular abstractions. Don't miss this opportunity to... Read more
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This is a weekly session of the CIT Summer Series, with Dr. Rami Abielmona presenting Distilling AI: The Hitchhiker's Guide : In this talk, I will present real-world AI/ML Big Data solutions involving unique learning algorithms that allow one to process vast amounts of critical information combined with knowledge acquired from specific domains. These unique... Read more |
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Event Details We've all seen how ChatGPT and GitHub Copilot can generate code and help programmers. In this talk, we will take a look back at some of the history of programming language tooling and then forward at some cutting-edge research in large language models to prognosticate about what the act of programming might look... Read more |
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This is a weekly session of the CIT Summer Series, with Nael Abu-Ghazaleh presenting Security challenges and opportunities at the Intersection of Architecture and ML/AI : Machine learning is an increasingly important computational workload as data-driven deep learning models are becoming increasingly important in a wide range of application spaces. Computer systems, from the architecture... Read more |
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Virtual Event Details Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community structure in large social networks; protecting our elections from cyber-threats, and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale... Read more
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This is a weekly session of the CIT Summer Series, with David A. Bader presenting Solving Global Grand Challenges with High Performance Data Analytics : Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community structure in large social networks; protecting our elections from cyber-threats, and... Read more |
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Virtual Event Details It was once widely believed that computers would enhance the speed, reliability, and applicability of human deductive reasoning in the physical and social sciences, much as motorized vehicles (e.g., cars, trains, airplanes) have enhanced the speed, reliability, and applicability of human manual abilities in transportation. Yet, 60 years later, computers can be... Read more
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This is a weekly session of the CIT Summer Series, with David A Fisher presenting Why Software Fails and Why AI cannot Help : It was once widely believed that computers would enhance the speed, reliability, and applicability of human deductive reasoning in the physical and social sciences, much as motorized vehicles (e.g., cars, trains,... Read more |
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