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  2. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  3. Deep reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Deep_reinforcement_learning

    Deep learning methods, often using supervised learning with labeled datasets, have been shown to solve tasks that involve handling complex, high-dimensional raw input data (such as images) with less manual feature engineering than prior methods, enabling significant progress in several fields including computer vision and natural language ...

  4. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    Glossary of artificial intelligence; ... The transformer is a deep learning architecture that was developed by researchers at Google and is based on the multi-head ...

  5. Neural network (machine learning) - Wikipedia

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

    Topological deep learning, first introduced in 2017, [147] is an emerging approach in machine learning that integrates topology with deep neural networks to address highly intricate and high-order data.

  6. Google DeepMind - Wikipedia

    en.wikipedia.org/wiki/Google_DeepMind

    DeepMind Technologies Limited, [1] trading as Google DeepMind or simply DeepMind, is a British-American artificial intelligence research laboratory which serves as a subsidiary of Alphabet Inc. Founded in the UK in 2010, it was acquired by Google in 2014 [8] and merged with Google AI's Google Brain division to become Google DeepMind in April 2023.

  7. History of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    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]

  8. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow is a software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for training and inference of neural networks. [3] [4] It is one of the most popular deep learning frameworks, alongside others such as PyTorch and PaddlePaddle.

  9. 25 Top AI Stocks That Could Boost Your Portfolio

    www.aol.com/25-top-ai-stocks-could-133000125.html

    Image source: Getty Images. Space and defense tech. 17. BlackSky Technologies (NYSE: BKSY) combines satellite imagery with AI analytics, providing real-time geospatial intelligence for defense ...