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Bench Talk for Design Engineers

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Bench Talk for Design Engineers | The Official Blog of Mouser Electronics


Reinforcement Learning Is Advancing AI Applications
En febrero 25, 2021 en All, EIT 2020: The Intelligent Revolution por Michael Matuschek
Michael Matuschek
Reinforcement learning and its sub-genres of feature learning, artificial neural networks, and deep learning represent new potentials—and challenges—for AI applications aiming to achieve artificial intelligence on a human level.
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3190
Tagged With: ai, applications, artificial neural networks, data, deep learning, feature learning, input, learning, reinforcement, reinforcement learning, variables
Augmenting Intelligence: Enabling Neural Networks
En agosto 15, 2018 en All, Computing, EIT 2018: Generation Robot, Empowering Innovation, Medical, Robotics, Sensors por Paul Golata
Paul Golata
Artificial neural networks (ANNs) are a connected system of nodes that transmit nerve impulses, much like human neurons do. ANNs have made significant inroads, helping technologists develop new solutions in machine vision, human speech recognition, and medical diagnostics.
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8847
Tagged With: AI, ANN, Artificial intelligence, Artificial neural network, Cognitive mapping, Deep learning, Field-programmable gate arrays, FPGA, Human speech recognition, Integrative biorobotics, Intel, Machine learning, Machine vision, Neural coding, Neural decoding, Neural networks, Neuroinformatics, Reinforcement learning, Silicon neurons

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