Hsiang-Tsung Kung is a Taiwanese-born American computer scientist. He is the William H. Gates professor of computer science at Harvard University. His early research in parallel computing produced the systolic array in 1979,which has since become a core computational component of hardware accelerators for artificial intelligence,including Google's Tensor Processing Unit (TPU). Similarly,he proposed optimistic concurrency control in 1981,now a key principle in memory and database transaction systems,including MySQL,Apache CouchDB,Google's App Engine,and Ruby on Rails. He remains an active researcher,with ongoing contributions to computational complexity theory,hardware design,parallel computing,routing,wireless communication,signal processing,and artificial intelligence.
A language model is a probabilistic model of a natural language. In 1980,the first significant statistical language model was proposed,and during the decade IBM performed ‘Shannon-style’experiments,in which potential sources for language modeling improvement were identified by observing and analyzing the performance of human subjects in predicting or correcting text.
Automatic image annotation is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image. This application of computer vision techniques is used in image retrieval systems to organize and locate images of interest from a database.
Michael S. Lew is a scientist in multimedia information search and retrieval at Leiden University,Netherlands. He has published over a dozen books and 150 scientific articles in the areas of content based image retrieval,computer vision,and deep learning. Notably,he had the most cited paper in the ACM Transactions on Multimedia,one of the top 10 most cited articles in the history of the ACM SIGMM,and the most cited article from the ACM International Conference on Multimedia Information Retrieval in 2008 and also in 2010. He was the opening keynote speaker for the 9th International Conference on Visual Information Systems,the Editor-in-Chief of the International Journal of Multimedia Information Retrieval (Springer),the co-founder of influential conferences such as the International Conference on Image and Video Retrieval,and the IEEE Workshop on Human Computer Interaction. He was also a founding member of the international advisory committee for the TRECVID video retrieval evaluation project,chair of the steering committee for the ACM International Conference on Multimedia Retrieval and a member of the ACM SIGMM Executive Committee. In addition,his work on convolutional fusion networks in deep learning won the best paper award at the 23rd International Conference on Multimedia Modeling. His work is frequently cited in both scientific and popular news sources.
Vasant G. Honavar is an Indian-American computer scientist,and artificial intelligence,machine learning,big data,data science,causal inference,knowledge representation,bioinformatics and health informatics researcher and professor.
The following outline is provided as an overview of and topical guide to artificial intelligence:
James Ze Wang is a Chinese-American computer scientist. He is a distinguished professor of the College of Information Sciences and Technology at Pennsylvania State University. He is also an affiliated professor of the Molecular,Cellular,and Integrative Biosciences Program;the Computational Science Graduate Minor;and the Social Data Analytics Graduate Program. He is co-director of the Intelligent Information Systems Laboratory. He was a visiting professor of the Robotics Institute at Carnegie Mellon University from 2007 to 2008. In 2011 and 2012,he served as a program manager in the Office of International Science and Engineering at the National Science Foundation. He is the second son of Chinese mathematician Wang Yuan.
Evgeniy Gabrilovich is a research director at Facebook Reality Labs where he conducts research on neuromotor interfaces. Prior to that,he was a Principal Scientist/Director at Google,specializing in Information Retrieval,Machine Learning,and Computational Linguistics,and a Fellow of the Institute of Electrical and Electronics Engineers (IEEE),and an ACM Fellow. In 2010,he received the Karen Spärck Jones Award from the British Computer Society Information Retrieval Specialist Group.
Learning to rank or machine-learned ranking (MLR) is the application of machine learning,typically supervised,semi-supervised or reinforcement learning,in the construction of ranking models for information retrieval systems. Training data may,for example,consist of lists of items with some partial order specified between items in each list. This order is typically induced by giving a numerical or ordinal score or a binary judgment for each item. The goal of constructing the ranking model is to rank new,unseen lists in a similar way to rankings in the training data.
Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised,semi-supervised or unsupervised.
Jeffrey Adgate "Jeff" Dean is an American computer scientist and software engineer. Since 2018,he has been the lead of Google AI. He was appointed Alphabet's chief scientist in 2023 after a reorganization of Alphabet's AI focused groups.
An AI accelerator,deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications,including artificial neural networks and machine vision. Typical applications include algorithms for robotics,Internet of Things,and other data-intensive or sensor-driven tasks. They are often manycore designs and generally focus on low-precision arithmetic,novel dataflow architectures or in-memory computing capability. As of 2024,a typical AI integrated circuit chip contains tens of billions of MOSFETs.
Yunhao Liu is a Chinese computer scientist. He is the Dean of Global Innovation Exchange (GIX) at Tsinghua University.
Shih-Fu Chang is a Taiwanese American computer scientist and electrical engineer noted for his research on multimedia information retrieval,computer vision,machine learning,and signal processing.
Ihab Francis Ilyas is a computer scientist who works in data science. He is currently a professor of computer science in the David R. Cheriton School of Computer Science at the University of Waterloo. He also led the Knowledge Platform team at Apple Inc. Ihab is the holder of the Thomson Reuters-NSERC Industrial Research Chair in Data Cleaning at the University of Waterloo.
Xu Li is a Chinese computer scientist and co-founder and current CEO of SenseTime,an artificial intelligence (AI) company. Xu has led SenseTime since the company's incorporation and helped it independently develop its proprietary deep learning platform.
Song-Chun Zhu is a Chinese computer scientist and applied mathematician known for his work in computer vision,cognitive artificial intelligence and robotics. Zhu currently works at Peking University and was previously a professor in the Departments of Statistics and Computer Science at the University of California,Los Angeles. Zhu also previously served as Director of the UCLA Center for Vision,Cognition,Learning and Autonomy (VCLA).
Hsiao-Wuen Hon is a Taiwanese-US researcher in speech technology,and coauthor of the book Spoken Language Processing. He is Corporate Vice President of Microsoft and Chairman of Microsoft's Asia-Pacific R&D Group.
Mi Zhang is a computer scientist at Ohio State University,where he is an Associate Professor of Computer Science and Engineering and the director of AIoT and Machine Learning Systems Lab. He is best known for his work in Edge AI,Artificial Intelligence of Things (AIoT),machine learning systems,and mobile health.
Yixin Chen is a computer scientist,academic,and author. He is a professor of computer science and engineering at Washington University in St. Louis.
