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High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for unsupervised learning can also be difficult and costly to produce ...
The project aims to use deep learning to improve early detection of pancreatic cancer by training computers to recognize it in CT scans and magnetic resonance images. [ 14 ] [ 15 ] Yuille and collaborators are attempting to develop algorithms to interpret CT and MR images of the pancreas and distinguish between a normal pancreas and a pancreas ...
Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. [1] Google Brain, a deep learning project part of Google X attempting to have intelligence similar or equal to human-level. [2] Human Brain Project, ten-year scientific research project, based on exascale ...
Liang Zhao is a computer scientist and academic. He is an associate professor in the Department of Computer Science at Emory University. [1]Zhao's research focuses on data mining, machine learning, and artificial intelligence, with particular interests in deep learning on graphs, societal event prediction, interpretable machine learning, multi-modal machine learning, generative AI, and ...
The author-topic model by Rosen-Zvi et al. [13] models the topics associated with authors of documents to improve the topic detection for documents with authorship information. HLTA was applied to a collection of recent research papers published at major AI and Machine Learning venues. The resulting model is called The AI Tree.
Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability.She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science at Harvard University.
Reza Zadeh (Persian: رضا زاده) is an American computer scientist and technology executive working on machine learning. He is adjunct professor at Stanford University, CEO of Matroid, [1] [2] and a founding team member at Databricks. [3] His work focuses on machine learning, distributed computing, and discrete applied mathematics.
Soatto's research focuses on computer vision, machine learning and robotics.He co-developed optimal algorithms for structure from motion (SFM, or visual SLAM, simultaneous localization and mapping, in robotics; Best Paper Award at CVPR 1998), characterized its ambiguities (David Marr Prize at ICCV 1999), also characterized the identifiability and observability of visual-inertial sensor fusion ...