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International Neural Network Society information


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Recurrent neural network

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A recurrent neural network (RNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between...

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Convolutional neural network

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Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel)...

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Paul Werbos

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three two-year Presidents of the International Neural Network Society (INNS). In 1995, he was awarded the IEEE Neural Network Pioneer Award for the discovery...

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Types of artificial neural networks

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types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate...

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Nikola Kasabov

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Pacific Neural Network Assembly (APNNA) Excellent Service Award (2005), the Bayer Science Innovator Award (2007), the International Neural Network Society (INNS)...

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Vladimir Vapnik

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awards recipients". International Neural Network Society. 2005. Retrieved November 28, 2014. IEEE Computational Intelligence Society. "NEC C&C Foundation...

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European Neural Network Society

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The European Neural Network Society (ENNS) is an association of scientists, engineers, students, and others seeking to learn about and advance understanding...

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Michael Hasselmo

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Rhodes scholarship. In 2003, Hasselmo was President of the International Neural Network Society (INNIS); he served on the board prior to and after holding...

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Bart Kosko

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was awarded the 2022 Donald O. Hebb Award for neural learning by the International Neural Network Society. Kosko holds bachelor's degrees in philosophy...

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Deep learning

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methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can...

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History of artificial neural networks

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Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. Their creation was inspired by neural circuitry...

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Kunihiko Fukushima

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Japanese Neural Network Society (JNNS). He also was a founding member on the board of governors of the International Neural Network Society (INNS), and...

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Generative adversarial network

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developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's...

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AI accelerator

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intelligence and machine learning applications, including artificial neural networks and machine vision. Typical applications include algorithms for robotics...

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Lee Giles

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(IEEE), and International Neural Network Society, (INNS). He also received the Gabor Award from the International Neural Network Society recognizing achievements...

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Teuvo Kohonen

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the International Association for Pattern Recognition from 1982 to 1984, and acted as the first president of the European Neural Network Society from...

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Gail Carpenter

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Intelligence Society International Neural Network Society (INNS) IEEE Fellow Award (2013) IEEE Senior Membership Award (2011) IEEE Neural Networks Pioneer...

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Neural operators

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neural networks, marking a departure from the typical focus on learning mappings between finite-dimensional Euclidean spaces or finite sets. Neural operators...

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Ron Sun

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Cognitive Science Society. For his work on human skill learning, he received the 2008 Hebb Award from the International Neural Network Society. In 2013, he...

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Terry Sejnowski

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Prize for his contributions to learning algorithms by the International Neural Network Society in 1999. He became a Fellow of the Institute of Electrical...

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Andrew Barto

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Retrieved September 6, 2022. "Virtual History Interview". International Neural Network Society. 7 January 2022. Retrieved September 6, 2022. "Andrew G....

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Walter Jackson Freeman III

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research in consciousness. Freeman was President of the International Neural Network Society in 1994, and is a Life Fellow of the IEEE. He has authored...

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Neural oscillation

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Neural oscillations, or brainwaves, are rhythmic or repetitive patterns of neural activity in the central nervous system. Neural tissue can generate oscillatory...

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Neural radiance field

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represents a scene as a radiance field parametrized by a deep neural network (DNN). The network predicts a volume density and view-dependent emitted radiance...

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DeepDream

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by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus...

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