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Conferences, Lectures, & Seminars
Events for September
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Equalizing Hollywood: Using AI to Make Professional Grade Art & Content That Sells & Impacts
Wed, Sep 18, 2024 @ 02:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Stephen Gibler, Adjunct Professor, USC School of Cinematic Arts
Talk Title: Equalizing Hollywood: Using AI to Make Professional Grade Art & Content That Sells & Impacts
Abstract: In “Equalizing Hollywood,” discover how AI is democratizing the creation of professional-grade art and content. This talk explores innovative AI tools that empower creators to produce high-quality work that not only sells but also makes a significant impact. Learn about the transformative potential of AI in leveling the playing field in the entertainment industry. Join us to see how technology is shaping the future of Hollywood and beyond.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Stephen Gibler has been a producer in Los Angeles for over a decade, running production for over 50 projects, including eight feature films, over a dozen commercials, 30 new media projects, 5 reality TV shows, and one of the largest immersive art museums in China ’The Silos’. He has collaborated with renowned figures in the film industry, such as James Ivory, Jackie Earle Haley, Haley Joel Osment, Molly Ringwald, Drake Doremus, and many others while also working with brands such as Amazon, Lancome, Head & Shoulders, Fiverr, AMC, and so forth. Stephen now serves as an adjunct professor at USC’s School of Cinematic Arts and is the founder of AI Tech Startup, Logline AI, aiming to use AI to accelerate the creative process in filmmaking.
Host: CAIS
More Info: https://cais.usc.edu/events/usc-cais-seminar-with-stephen-gibler/
Location: Room TBD
Audiences: Everyone Is Invited
Contact: Thomas Lord Department of Computer Science
Event Link: https://cais.usc.edu/events/usc-cais-seminar-with-stephen-gibler/
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A Code Generation Framework To Replicate Software Design Concepts
Mon, Sep 30, 2024 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Prof. George Heineman, Associate Professor, Computer Science - Worcester Polytechnic Institute
Talk Title: A Code Generation Framework To Replicate Software Design Concepts
Abstract: In 1998, Philip Wadler used the term Expression Problem (EP) to describe a common situation that occurs when devising software that must evolve, specifically with regard to the structure of the data types and the operations over these data types. Over time, software engineers extend systems by adding new data types and/or new operations, and the goal is to avoid changing existing code as part of the extension. Dozens of researchers have investigated approaches to EP using a variety of programming languages. The papers from the research literature often contain only small code fragments and the lack of a common benchmark makes it difficult to compare different approaches with each other. We designed EpCoGen, a code generation framework, to replicate the results of numerous papers using a rich benchmark domain of mathematical expressions. While it was not our intention, in completing this project, we devised a novel CoCo approach to EP based on Covariant Conversions. This result would not have been possible without the meticulous effort in both developing a comprehensive benchmark and trying to replicate existing results from the literature. We generate fully coded solutions in Java, Scala and Haskell, with accompanying test cases, for nine different approaches to EP using a language-independent code generation framework (CoGen) that can be expanded to include additional languages and approaches.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: George Heineman is an Associate Professor of Computer Science at WPI in Worcester, Massachusetts. His research interests include component-based software engineering, modularity, code generation, and algorithms. He is the author of Algorithms in a Nutshell (2ed, O’Reilly Media, 2016), Learning Algorithms (O’Reilly Media, 2021), and an online training video course, Coding Interview Preparation: Learn to Solve Algorithms Problem to Land Your Next Software Role (O’Reilly Media, 2024). George is also an avid puzzler with a lifelong interest in logical and mathematical puzzles. He is the inventor of Sujiken® puzzles (a variation of Sudoku), Trexiken puzzles (a variation of Ken-Ken®) and the online https://wordygame.net, if you are ready to try a more challenging word puzzle than Wordle.
Host: Nenad Medvidovic, Department Chair - USC Thomas Lord Department of Computer Science
Location: TBD
Audiences: Everyone Is Invited