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. This agent will be designed to integrate and interpret complex patient data using tools such as neural networks for analyzing patient imaging data; language models for analyzing patients' clinical and lab
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Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in
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measured in an artificial neural network is a good predictor of the visual attractiveness of stimuli as evaluated by human subjects
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compositions. Initially, supervised learning models such as random forests, gradient boosting, and neural networks will be used to predict composition outcomes based on both literature scrapping and in-house
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learning, graph neural networks, generative models). Interest in interdisciplinary research and/or real-world applications. Responsibilities Develop and lead a research program at the AI–Chemistry interface
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establishedDogra Lab (https://mann.usc.edu/faculty/dogra/ )at USC invites applications for two Postdoctoral Scholar Research Associates at the intersection of artificial intelligence (AI), mechanistic modeling, and
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 1 month ago
be based on Recurrent Neural Network (RNN), reservoir in particular, but could also use emerging hybrid models in-between Transformers and reservoirs [14] that we create in the team. A reservoir [3] is
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details. We are very passionate about applying ML algorithms and develop AI applied research and innovation solutions using from classic ML to novel transformer neural networks. We test and measure the
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The newly established Dogra Lab (https://mann.usc.edu/faculty/dogra/ ) at USC invites applications for two Postdoctoral Scholar – Research Associates at the intersection of artificial intelligence
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exciting research direction. Join Us! Modern deep learning is progressing fast. Yet even the most advanced neural networks are paired with crucial limitations, such as making arbitrarily bad predictions