Red Hat Research Quarterly
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
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.
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. By Vikram Nitin, Anne Mulhern, Baishakhi Ray, and Sanjay Arora Rust, a programming language that did not exist just 10 years ago, is now well known and […]
Red Hat Research focuses on accelerating the practical applications for artificial intelligence and machine learning by combining academic approaches and industry use cases. Rather than focusing purely on advancing AI/ML techniques, we identify research collaborations where they can play a central role in solving computing problems. The AI/ML projects we’ve highlighted in past issues drive […]
We may not have all the answers, but we’re homing in on the essential questions about the future of AI and machine learning. If you’ve somehow managed to escape the last nine months of breathless headlines and wild speculation about ChatGPT and what it means for humanity, you are lucky indeed. It’s not as though […]