AI Innovation Institute

When a patient is diagnosed with cancer, a period of fear and confusion inevitably follows. The patient and their doctor may share similar questions: What are the next steps? Which treatment should be pursued? What does the future hold? 

With the use of deep learning, artificial intelligence can help address these difficult questions for doctors and patients, and may ultimately help determine a course of action and treatment options, according to the recent study, “Survival Analysis of Localized Prostate Cancer with Deep Learning.” 

You are driving a car down a city street, when you see a child playing with a ball by the side of the road. When the ball suddenly shoots across the road, you slam on the brakes—anticipating that the child may run out in the street chasing the ball.

Action anticipation, the task of predicting the next action in a sequence, is an important problem in computer vision. For instance, accurately predicting the actions of other cars in a driving sequence is essential to building safe self-driving vehicles. Typically, video frames are used to train AI systems for action anticipation, but language models are another type of data that can be helpful here. 

Part eight of our AI Researcher Profile Series invites Professor Klaus Mueller of the Department of Computer Science to discuss his extensive work with Artificial Intelligence, and how he uses it to produce a human-machine relationship that enables the machine, but empowers the human. 

AI Institute: What sparked your interest in Artificial Intelligence? 

Yejin Choi, former Assistant Professor from 2010-2014 in Stony Brook’s Department of Computer Science, was one of the 25 recipients awarded the $800,000 “genius grant” from the MacArthur Foundation. 

Hand analysis has played a significant role in Computer Vision applications. For instance, there are machine learning algorithms that can identify sign language hand gestures and assist people who are deaf. While many Computer Vision works study hands and human bodies separately, they seldom capture them together. 

Since its beginning, the COVID-19 pandemic has been a major topic of discussion on social media.  People will often tweet claims about COVID-19 with cited sources making them appear to be truthful, but are the claims being made always true?

With the COVID-19 pandemic, anti-Asian sentiment, especially Sinophobia, has become a big topic of discussion in the realm of social media. As a result, studies have focused on anti-Asian sentiment data during the pandemic. However, they fail to include anti-Asian sentiment data before the pandemic. This brings about the misconception that anti-Asian sentiment has only recently come to be. In reality, it has been around for decades. 

This is a repost of an article written by Alissa Pabon on the Stony Brook University Department of Computer Science website. 

A beloved professor at Stony Brook University’s Department of Computer Science has been named a Fulbright Scholar for the 2022-2023 academic year.

Distinguished Professor Steven Skiena joins the ranks of prestigious world leaders and academics with a Fulbright Scholar Award, a prestigious fellowship that grants scholars an opportunity to conduct their research overseas.