Seminar DAISY - Fabio Porto

 

In this talk, I introduce Gypscie, a cross-platform AI artifact management system. By providing a unified view of all AI artifacts, the Gypscie platform simplifies the development and deployment of AI applications. This unified view is realized through a knowledge graph that captures application semantics and a rule-based query language that supports reasoning over data and models. Model lifecycle activities are represented as high-level dataflows that can be scheduled across multiple platforms, such as servers, cloud platforms, or supercomputers. Finally, Gypscie records provenance information about the artifacts it produces, thereby enabling explainability.
Our qualitative comparison with representative AI systems shows that Gypscie supports a broader range of functionalities across the AI artifact lifecycle. Our experimental evaluation demonstrates that Gypscie can successfully optimize and schedule dataflows on AI platforms from an abstract specification.

Dr. Fabio Porto holds a PhD in Computer Science from PUC-Rio, Brazil, (2001) with a sandwich program at Inria, Rocquencourt . He is a senior researcher at the National Laboratory of Scientific Computing, where he leads the Artificial Intelligence Institute (IIA), and the Data Extreme Lab (DEXL).  He is the recipient of the Inria International chair (2024-2028). He was the General Chair of VLDB 2018 and SBBD 2015, and has served as a reviewer for major conferences and journals, including TKDE, VLDB, SIGMOD, and ICDE. He was a visiting Research Professor at NUS, Singapore, in 2020.  His research interests focus on designing data-centric approaches to support the convergence of databases, ML, and AI models. Dr Porto is a member of ACM and SBC.