Terrence Joseph Sejnowski is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience.
Paul Smolensky is Krieger-Eisenhower Professor of Cognitive Science at the Johns Hopkins University and a Senior Principal Researcher at Microsoft Research, Redmond Washington.
Microsoft Research (MSR) is the research subsidiary of Microsoft. It was created in 1991 by Richard Rashid, Bill Gates and Nathan Myhrvold with the intent to advance state-of-the-art computing and solve difficult world problems through technological innovation in collaboration with academic, government, and industry researchers. The Microsoft Research team has more than 1,000 computer scientists, physicists, engineers, and mathematicians, including Turing Award winners, Fields Medal winners, MacArthur Fellows, and Dijkstra Prize winners.
The Krasnow Institute for Advanced Study brings together researchers from many disciplines to study the phenomenon known as the mind. A unit of George Mason University, the Krasnow Institute also serves as a center for doctoral education in neuroscience. Research at the institute is funded by agencies such as the National Institutes of Health, the National Science Foundation and the Department of Defense.
Jennifer Tour Chayes is Associate Provost of the Division of Computing, Data Science, and Society and Dean of the School of Information at the University of California, Berkeley. Before joining Berkeley, she was a Technical Fellow and Managing Director of Microsoft Research New England in Cambridge, Massachusetts, which she founded in 2008, and Microsoft Research New York City, which she founded in 2012.
The Lagrange-CRT Foundation Prize is an annual International award created by the CRT Foundation with the scientific coordination of the ISI Foundation. The prize is awarded for scientific research in the field of complexity sciences, its applications and dissemination. The Lagrange Prize is awarded in Turin, Italy.
Robert David Kleinberg is an American theoretical computer scientist and professor of Computer Science at Cornell University.
Pushmeet Kohli is a computer scientist at Google DeepMind where he heads the "Robust and Reliable AI" and "AI for Science" teams. Before joining DeepMind, he was partner scientist and director of research at Microsoft Research and a post-doctoral fellow at the University of Cambridge. Kohli's research investigates applications of machine learning and computer vision. He has also made contributions in game theory, discrete algorithms and psychometrics.
This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence, its sub-disciplines, and related fields. Related glossaries include Glossary of computer science, Glossary of robotics, and Glossary of machine vision.
Kronecker graphs are a construction for generating graphs for modeling systems. The method constructs a sequence of graphs from a small base graph by iterating the Kronecker product. A variety of generalizations of Kronecker graphs exist.
The Open Neural Network Exchange (ONNX) [] is an open-source artificial intelligence ecosystem of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector. ONNX is available on GitHub.
Yee-Whye Teh is a professor of statistical machine learning in the Department of Statistics, University of Oxford. Prior to 2012 he was a reader at the Gatsby Charitable Foundation computational neuroscience unit at University College London. His work is primarily in machine learning, artificial intelligence, statistics and computer science.
Salman A. Avestimehr is a Dean's professor at the Electrical & Computer Engineering and Computer Science Departments of University of Southern California, where he is the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning and the director of the Information Theory and Machine Learning (vITAL) research lab. He is also the CEO and Co-Founder of FedML. Avestimehr's contributions in research and publications are in the areas of information theory, machine learning, large-scale distributed computing, and secure/private computing and learning. In particular, he is best known for deterministic approximation approaches to network information theory and coded computing. He was a general co-chair of the 2020 International Symposium on Information Theory (ISIT), and is a Fellow of IEEE. He is also co-authors of four books titled “An Approximation Approach to Network Information Theory”, “Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management”, “Coded Computing”, and “Problem Solving Strategies for Elementary-School Math.”
Jian Ma is an American computer scientist and computational biologist. He is the Ray and Stephanie Lane Professor of Computational Biology in the School of Computer Science at Carnegie Mellon University. He is a faculty member in the Computational Biology Department. His lab develops machine learning algorithms to study the structure and function of the human genome. During his Ph.D. and postdoc training, he developed algorithms to reconstruct the ancestral mammalian genome. His research group has recently pioneered a series of new machine learning methods for 3D epigenomics and spatial genomics. He received an NSF CAREER award in 2011. In 2020, he was awarded a Guggenheim Fellowship in Computer Science. He is an elected Fellow of the American Association for the Advancement of Science. He leads an NIH 4D Nucleome Center to develop machine learning algorithms to better understand the cell nucleus.
Heather J. Kulik is an American computational materials scientist and engineer who is an associate professor of chemical engineering at the Massachusetts Institute of Technology. Her research considers the computational design of new materials and the use of artificial intelligence to predict material properties.
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. Lakkaraju is known for her work on explainable machine learning. More broadly, her research focuses on developing machine learning models and algorithms that are interpretable, transparent, fair, and reliable. She also investigates the practical and ethical implications of deploying machine learning models in domains involving high-stakes decisions such as healthcare, criminal justice, business, and education. Lakkaraju was named as one of the world's top Innovators Under 35 by both Vanity Fair and the MIT Technology Review.
A graph neural network (GNN) is a class of artificial neural networks for processing data that can be represented as graphs.
Lauren O'Connell is an American chemist who is an assistant professor in the Department of Biology at Stanford University. Her research considers how animals handle challenges in their environment. She received a L'Oréal-USA For Women in Science fellowship in 2015.
Yixin Chen is a computer scientist, academic, and author. He is a professor of computer science and engineering at Washington University in St. Louis.
Jeanne M. VanBriesen is an American civil engineer who is Vice Provost and the Duquesne Light Company Professor at Carnegie Mellon University. Her research considers the realization of sustainable natural and engineered water systems. She is a Fellow of the American Society of Civil Engineers, Environmental and Water Resources Institute, Association of Environmental Engineering and Science Professors and American Association for the Advancement of Science.
