Elizabeth Bondi-Kelly and Alex Peahl receive Google grant to develop AI-powered reproductive health chatbot
The funding will support Bondi-Kelly and Peahl’s development of MI-OB-Now, a multi-agent AI system that improves access to reproductive health information.Accounting for bias in medical data helps prevent AI from amplifying racial disparity
Some sick Black patients are likely labeled as “healthy” in AI datasets due to inequitable medical testing.Dhruv Jain receives Google funding for enhanced sound awareness for deaf and hard-of-hearing individuals
The grant will support Jain’s work to develop a comprehensive auditory scene understanding system.Real-time visual description program for people with low vision wins Best Paper at UIST 2024
CSE authors were recognized for their development of WorldScribe, a program that generates live visual descriptions to assist people who are blind or have low vision. $1.2 million NSF funding for U-M research on surgical training
The researchers will apply computational methods to assess and enhance surgical training and patient outcomes.Maggie Makar receives Google Research Scholar award for work on causally motivated AI models
The award will support Makar’s work to develop machine learning models that leverage causal reasoning to detect and manage chronic pain.Leveraging artificial intelligence for early detection of lung cancer
Predictive models developed by an interdisciplinary U-M research team have improved early lung cancer detection beyond traditional measures, with the potential to save lives.You’re just a stick figure to this camera
The anonymity could reduce unnecessary surveillance in an age of smart devices.CSE researchers receive Social Impact Award at NAACL 2024
The award recognizes the importance of their research on cultural biases in large language models.Forecasting 'forever chemicals' in U.S. waterways with AI
In collaboration with the Environmental Working Group, researchers at U-M have received a Graham Sustainability Institute Catalyst Grant to develop AI tools that can predict PFAS contamination in water sources across the U.S.Leveraging AI to improve video-based surgical learning
New tool can help surgeons quickly search videos and create interactive feedback, saving time while improving educational value for trainees.Maggie Makar receives NSF CAREER Award to develop machine learning models backed by causal reasoning
Makar’s research will leverage causal mechanisms to build more robust machine learning models.Harnessing tech to shape the future of pandemic defense
The Computing Community Consortium, including CSE Prof. Rada Mihalcea, has released a new workshop report on the role of computing in preventing and mitigating the effects of pandemics. Widely used AI tool for early sepsis detection may be cribbing doctors’ suspicions
When using only data collected before patients with sepsis received treatments or medical tests, the model’s accuracy was no better than a coin toss.Hearing emotion: Redefining mental health monitoring via voice-based mood detection
Researchers at U-M have received a $3.6 million NIH grant to support their development of new digital phenotyping tools to better detect and measure symptoms of bipolar disorder via audio monitoring. Clinicians could be fooled by biased AI, despite explanations
Regulators pinned their hopes on clinicians being able to spot flaws in explanations of an AI model's logic, but a study suggests this isn't a safe approach.CSE researchers present new findings and tech at UIST 2023
CSE researchers have 2 papers and 4 demos appearing at the conference, covering new tech that improves accessibility, enhances user experience, and helps surgeons-in-training.Dhruv Jain receives NIH grant to improve health education for people with sensory disabilities
Prof. Jain and his collaborators in Michigan Medicine will develop best practices to increase health literacy and access to information for patients with disabilities.Nikola Banovic receives NSF CAREER Award to advance explainable AI
Prof. Banovic aims to use human-AI interaction to explain and justify AI decisions to end users.New apps for visually impaired users provide virtual labels for controls and a way to explore images
With VizLens, users can touch buttons while their phones read out the labels, and Image Explorer provides a workaround for bad or missing alt textWith language models on the rise, how can Natural Language Processing be used for good?
A research team led by Prof. Rada Mihalcea and PhD student Zhijing Jin has created a method for identifying and categorizing research that uses NLP to address social problems.Dhruv Jain named Google Scholar to design accessible technologies for deaf and hard of hearing people
Jain is working to design next-generation accessible technologies to give DHH people better awareness of their surroundings.Jenna Wiens receives U-M Sarah Goddard Power Award for outstanding research and advocacy for women in academia
The award recognizes U-M faculty and staff who have significantly contributed to the betterment of current challenges faced by women.Prof. Emily Mower Provost receives NSF grant for research in personalized emotion recognition
The project aims to create new and personalized speech emotion recognition approaches and to use these approaches to investigate how changes in emotion are related to changes in mental health.Six new projects funded by LG AI Research
The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.Rada Mihalcea receives Distinguished Faculty Achievement Award
Mihalcea is being recognized for her contributions to computational linguistics and her efforts to broaden participation in the field of computer science.Paper by U-M researchers selected for Best Paper in IEEE Transactions on Affective Computing
The research on automatic speech emotion recognition is one of the five papers featured in the collection.Rada Mihalcea named new council member for CRA Computing Community Consortium
Mihalcea has been appointed as one of six new members on the Council, which works to catalyze computing research activity. Her term begins July 1.Paper recognized for lasting impact on natural language processing
AAAI recognized Prof. Rada Mihalcea's 2006 paper which devised a way to semantically compare short texts.