-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
-
-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
-
results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include artificial intelligence (as an exact phrase) and robot, and excludes machine. Gives higher relevance
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
-
distribution of the RSV remains stable across both samples. We then propose a statistical technique to efficiently represent (compress) the RSV such as satellite images into simple objects that can be used
-
Guidelines for full criteria. For assistance, please contact: KingAwards@hria.org Want to be added to the King Trust distribution list? HRiA manages a variety of biomedical research grant programs. Sign up
-
an atlas of prokaryotic immune strategy in the global oceans University of Southern California, laboratory of Jed Fuhrman 2018 B. Cael, Ph.D. Testing a distributional theory for the sinking flux of marine