Data science and artificial intelligence (AI) have become powerful tools for generating new knowledge, fueling innovation, and dealing with some of society’s most pressing problems. However, “big data” and machine learning tools can perpetuate biases that advantage some people, while disadvantaging others.

Stony Brook Computer Science PhD student alum Aria Rezaei and Professor Jie Gao have been awarded the Best Paper Award at EWSN 2021 for "Application-driven Privacy-preserving Data Publishing with Correlated Attributes."

The International Conference on Embedded Wireless Systems and Networks (EWSN) is an international conference focusing on the latest research related to embedded systems, wireless networking, the ‘Internet of Things’ and Cyber-Physical Systems. EWSN ‘21 featured the theme of “Embedded AI,” reflecting the recent technological advances at the crossroads of embedded systems and the vision of revolutionizing AI capabilities from the cloud to physical devices.

Two Stony Brook alum, Brad Birnbaum and Jeremy Suriel, are paving the way in customer service technologies. The two trailblazers have sold their company, Kustomer, to Facebook for a whopping $1 billion.

A local Stony Brook-based company, Genamint, has just hit it out of the park after catching the attention of baseball card collectors around the country. The startup has just been endorsed by Mets owner, Steven Cohen.

As the battle against COVID-19 continues, Stony Brook has been at the forefront of the pandemic with a convergence approach that includes both medicine and artificial intelligence. In Stony Brook's Institute for AI-Driven Discovery and Innovation, a multidisciplinary team is collaborating to develop a new way to look at image progression for COVID-19 patients, that helps the battle against the pandemic. In turn, Stony Brook faculty in the College of Engineering and Applied Sciences have made significant inroads that examine ways to fight the pandemic.

Jeffrey Ullman of Stanford University is a renowned American computer scientist who just won the 2020 Association for Computing Machinery A.M. Turing Award -- and he has two generations of Stony Brook connections.

Building intelligent natural language processing (NLP) systems to understand text and speech requires teaching computers notions of what individual words mean. Machine learning approaches capture these meanings through word embeddings learned from large text data sets. But these approaches can learn unhealthy biases from training on biased text sources, potentially leading to artificial intelligence systems that discriminate against specific groups.

Part six of our AI Researcher Profile series invites Assistant Professor Yifan Sun of the Department of Computer Science, to speak of her ongoing collaborative research in optimization and machine learning.

AI Institute: Tell me about your position as an Assistant Professor of the Department of Computer Science.

Professor Sun: I am currently working on several interesting projects in continuous optimization, as well as some collaborations with other CS faculty, in particular in natural language processing. I am also teaching the current Machine Learning class (CSE 512). So far it’s been great working with the students and faculty at Stony Brook!