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2. Machine learning - Wikipedia

   en.wikipedia.org/wiki/Machine_learning

   v. t. e. Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

3. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

4. Neural network (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Neural_network_(machine...

   e. In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. [ 1 ][ 2 ] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain.

5. List of artificial intelligence films - Wikipedia

   en.wikipedia.org/wiki/List_of_artificial...

   AI robots 1990 RoboCop 2: USA RoboCop, Murphy, RoboCop 2 [1] 1991 Terminator 2: Judgment Day: USA Skynet, the Terminator, T-1000, T-800: 1992 Homewrecker: USA Lucy 1993 RoboCop 3: USA RoboCop, Murphy [1] 1994 Star Trek Generations: USA Data Blankman: USA J-5 1995 Ghost in the Shell: Japan The Puppet Master [2] Mighty Morphin Power Rangers: The ...

6. Convolutional neural network - Wikipedia

   en.wikipedia.org/wiki/Convolutional_neural_network

   v. t. e. A convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [ 1 ]

7. BERT (language model) - Wikipedia

   en.wikipedia.org/wiki/BERT_(language_model)

   Bidirectional encoder representations from transformers (BERT) is a language model introduced in October 2018 by researchers at Google. [ 1 ][ 2 ] It learns to represent text as a sequence of vectors using self-supervised learning. It uses the encoder-only transformer architecture. It is notable for its dramatic improvement over previous state ...

8. Foundation model - Wikipedia

   en.wikipedia.org/wiki/Foundation_model

   Foundation model. A foundation model, also known as large AI model, is a machine learning or deep learning model that is trained on broad data such that it can be applied across a wide range of use cases. [ 1 ] Foundation models have transformed artificial intelligence (AI), powering prominent generative AI applications like ChatGPT. [ 1 ]

9. Boosting (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Boosting_(machine_learning)

   Machine learningand data mining. In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, variance. [1] It is used in supervised learning and a family of machine learning algorithms that convert weak learners to strong ones. [2]