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limited to) performance tracing for improved scalability, energy efficiency and fault tolerance in ML training / inference. We seek to improve our AI and machine learning work by bringing in tools to assist
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of Physics and Astronomy. AIPAD tackles the above questions by developing two innovative AI algorithms: The first algorithm will infer full SEP pitch-angle distributions (PADs) for spacecraft measurements
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, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design
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) technique and static chambers, in combination with the novel continuous surface and subsurface measurements of 13C stable isotope and concentration to infer CH4-related processes in the peat profile
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neurons in vitro, including scRNA-seq, scATAC-seq, high-content imaging, and smFISH. Integration of multimodal single-cell and spatial data. Inference of gene regulatory networks, developmental trajectories