Red Hat Research Quarterly

Sanjay Arora

About the author

Sanjay Arora works at Red Hat’s AI Center of Excellence and is mainly interested in the application of machine learning to low-level systems.

Articles by this author

When good models go bad: Minimizing dataset bias In AI

Sanjay Arora is a data scientist at Red Hat and a member of the Greater Boston Research Interest Group with particular interests in AI and machine learning. For RHRQ he interviewed Kate Saenko, a faculty member at Boston University and consulting professor for the MIT-IBM Watson AI Lab, about managing bias in machine learning datasets and the problems that remain unsolved.

Yuga: A tool to help Rust developers write unsafe code more safely

Some bugs in unsafe Rust arise from errors that are so easy to make that they are easily overlooked. Researchers have developed a new analyzer to find them. Rust, a programming language that did not exist just 10 years ago, is now well known and being adopted widely for a variety of projects, from static […]