IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference. Her talk title, bio, and abstract are below. Read more “Dr. Yelena Yesha Featured Speaker at FLAIRS Conference 5/15-18”
Daniel Messinger, Jacquelyn Moffitt, et al. published a chapter (21) in Oxford Academic’s The Oxford Handbook of Emotional Development titled “Early Interaction: New Approaches.” The chapter focuses on new developments in behavior imaging, objective quantification of human action, and computational approaches to the study of early emotional interaction and development.
In early 2020, in-person data collection dramatically slowed or was completely halted across the world as many labs were forced to close due to the COVID-19 pandemic. Developmental researchers who assess looking time (especially those who rely heavily on in-lab eye-tracking or live coding techniques) were forced to re-think their methods of data collection. Read more “Remote Data Collection During a Pandemic: A New Approach for Assessing and Coding . . .”
The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. If you missed this talk with Assistant Professor of Interactive Media, Ching-Hua Chuan, PhD. watch now as Dr. Chuan shares her research interests, which include artificial intelligence, machine learning, and music information retrieval with a focus on human-centered computing. Read more “Catch the Replay: Meet a Data Scientist Ching-Hua Chuan”
“Take10: Towards a Novel Ecosystem for Transparent Integration of AI in Clinical Flow” is a presentation by Dr. Yelena Yesha and Dr. Pierre-François d’Haese on the basis of a novel ecosystem developed between the West Virginia University Rockefeller Neuroscience Institute and the University of Miami Institute for Data Science and Computing (IDSC). Read more “Drs. Yelena Yesha and Pierre-François d’Haese Speak at FDA AI/ML Meeting 11/29”
“Take10: Towards a Novel Ecosystem for Transparent Integration of AI in Clinical Flow” is a presentation by Dr. Yelena Yesha and Dr. Pierre-François d’Haese on the basis of a novel ecosystem developed between the West Virginia University Rockefeller Neuroscience Institute and the University of Miami Institute for Data Science and Computing (IDSC). Read more “Drs. Yelena Yesha and Pierre-François d’Haese Speak at FDA AI/ML Meeting 11/29”
Applications are invited for three 4-year PhD research assistantships available in the Department of Computer Science. These research assistantships are funded by the University of Miami Center for Accelerated Real-time Analytics (UM CARTA), a prestigious international research center funded by the National Science Foundation’s Industry/University Cooperative Research Centers (I/UCRC) program. Read more “Applications Invited for Paid UM CARTA PhD Research Assistantships”
Several hundred pain clinicians, neurosurgeons, and neuromodulation industry professionals assembled in Orlando, Florida, July 15-17 for the 2021 Mid-Year meeting of NANS, the North American Neuromodulation Society. The event, which augmented the society’s January 2021 web conference, was the first in-person neuromodulation meeting for many attendees since the onset of the coronavirus pandemic. Read more “Dr. Yesha speaks at NANS Neuromodulation Society Meeting 7/15-17”
The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data—here referred to as Adaptive CDS—present unique challenges and considerations. Although Adaptive CDS represents an expected progression from earlier work, the activities needed to appropriately manage and support the establishment and evolution of Adaptive CDS require new, coordinated initiatives and oversight that do not currently exist. Read more “Recommendations for the Safe, Effective Use of Adaptive CDS in the US Healthcare System”
Can you do UX Research on machine learning systems? Can you get feedback from real users before the AI has been built? Can you even test a machine learning system before you have a production-ready model? Read more ““ML + UX: Building Machine Learning Products for People” Lecture”