DeepDream
DeepDream is a computer vision program created by Google that uses a convolutional neural network to enhance and modify images, creating surreal visual effects.
artificial intelligence
Nils J. Nilsson
Nils J. Nilsson is a prominent figure in the field of artificial intelligence, known for his research and contributions to AI methodologies.
Multilayer perceptron
A multilayer perceptron (MLP) is a class of feedforward artificial neural network with multiple layers of nodes that processes data in a manner inspired by the human brain.
Question answering
Question answering (QA) is a field of computer science and artificial intelligence focused on building systems that automatically answer questions posed by humans in natural language. It involves retrieving, understanding, and presenting relevant information from various data sources to provide accurate and concise answers.
CICERO (AI for diplomacy)
CICERO is an artificial intelligence system designed to engage in diplomatic negotiation and strategic communication. It combines natural language processing and game-theoretic reasoning to simulate human-like negotiation skills in complex diplomatic scenarios.
Watson (computer)
Watson is an artificial intelligence computer system developed by IBM, designed to process natural language and analyze large volumes of data. It gained prominence after competing on the quiz show Jeopardy! in 2011, showcasing advanced question-answering capabilities.
James L. McClelland
James L. McClelland is a prominent figure in cognitive psychology and artificial intelligence, known for his contributions to connectionist models of cognitive processes.
Arbitrary style transfer
Arbitrary style transfer is a technique in computer vision and neural networks that allows for the application of artistic styles to images.
Swarm intelligence
Swarm intelligence is a concept in artificial intelligence that mimics the collective behavior of decentralized systems, commonly observed in nature.
Double DQN
Double DQN is an advanced variant of the Deep Q-Network algorithm that addresses overestimation bias in Q-learning. It enhances learning accuracy by decoupling action selection from action evaluation.