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  2. 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]

  3. Neural network (machine learning) - Wikipedia

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

    This model paved the way for research to split into two approaches. One approach focused on biological processes while the other focused on the application of neural networks to artificial intelligence. In the late 1940s, D. O. Hebb [14] proposed a learning hypothesis based on the mechanism of neural plasticity that became known as Hebbian ...

  4. Outline of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Outline_of_artificial...

    He has also authored multiple books on artificial intelligence and its potential promise and peril. In December 2012 Kurzweil was hired by Google in a full-time director of engineering position to "work on new projects involving machine learning and language processing". [ 54 ]

  5. What Really Is Intelligence (& Where Does AI Fit into the ...

    www.aol.com/really-intelligence-where-does-ai...

    Intelligence is neither a fixed trait nor a commodifiable product—it is a process of ethical orientation, an unfolding dialogue between the subject’s intentionality and the systems it engages.

  6. In 2024, artificial intelligence was all about putting AI ...

    www.aol.com/2024-artificial-intelligence-putting...

    There was a “shift from putting out models to actually building products,” said Arvind Narayanan, a Princeton University computer science professor and co-author of the new book “AI Snake ...

  7. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices.

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