Tag: Machine Learning
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SCOOTI: Unlocking Cellular Objectives Through Machine Learning
The new tool, developed by Sriram Chandrasekaran, Associate Professor, Biomedical Engineering, and his PhD student Da-Wei Lin, is called SCOOTI (Single-cell Optimization Objective and Trade-off Inference).
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U-M BME’s Anne Draelos Named a 2024 Sloan Research Fellow in Neuroscience
The grant funding will support Dr. Draelos’ research, which focuses on using real-time adaptive machine learning.
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Individual finger control for advanced prostheses demonstrated in primates
University of Michigan researchers used a computer-generated hand to mirror the motions of the monkeys as they reached for the animated dots—providing data that the team used to train their algorithm for interpreting brain signals.