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IEEE Intelligent Systems [1] is a bimonthly peer-reviewed academic journal published by the IEEE Computer Society and sponsored by the Association for the Advancement of Artificial Intelligence (AAAI), British Computer Society (BCS), and European Association for Artificial Intelligence (EurAI).
The publications of the Institute of Electrical and Electronics Engineers (IEEE) constitute around 30% of the world literature in the electrical and electronics engineering and computer science fields, [citation needed] publishing well over 100 peer-reviewed journals. [1]
Fakhreddine (Fakhri) Karray is a Tunisian-Canadian artificial intelligence scientist, electrical and computer engineer, author, and academic.He served as the Loblaws Research Chair of Artificial Intelligence at the University of Waterloo's (UWaterloo) Department of Electrical and Computer Engineering, and as the inaugural co-director of the Waterloo AI Institute at UWaterloo. [1]
IEEE Transactions on Pattern Analysis and Machine Intelligence; IEEE Transactions on Software Engineering; ... Journal of Artificial Intelligence Research;
CALO, a DARPA-funded, 25-institution effort to integrate many artificial intelligence approaches (natural language processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an AI assistant that learns to help manage your office environment. [7]
2011 — IEEE Transactions on Fuzzy Systems Outstanding Paper Award from the IEEE Computational Intelligence Society [21] 2014 — Best Paper Herbert Simon Award of International Journal of Information Technology & Decision Making [citation needed] 2016 — Andrew P. Sage Best Transactions Paper Award [22]
Stuart J. Russell – co-author, with Peter Norvig, of Artificial Intelligence: A Modern Approach, now the leading college text in the field. Murray Shanahan – author of The Technological Singularity, a primer on superhuman intelligence. Eliezer Yudkowsky – founder of the Machine Intelligence Research Institute
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks.Their creation was inspired by biological neural circuitry. [1] [a] While some of the computational implementations ANNs relate to earlier discoveries in mathematics, the first implementation of ANNs was by psychologist Frank Rosenblatt, who developed the perceptron. [1]