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  2. Explainable artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Explainable_artificial...

    The use of explainable artificial intelligence (XAI) in pain research, specifically in understanding the role of electrodermal activity for automated pain recognition: hand-crafted features and deep learning models in pain recognition, highlighting the insights that simple hand-crafted features can yield comparative performances to deep ...

  3. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    Regression methods continue to be an area of active research. In recent decades, new methods have been developed for robust regression, regression involving correlated responses such as time series and growth curves, regression in which the predictor (independent variable) or response variables are curves, images, graphs, or other complex data ...

  4. Artificial intelligence engineering - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.

  5. Instrumental variables estimation - Wikipedia

    en.wikipedia.org/wiki/Instrumental_variables...

    The idea was that a regression analysis could produce a demand or supply curve because they are formed by the path between prices and quantities demanded or supplied. The problem was that the observational data did not form a demand or supply curve as such, but rather a cloud of point observations that took different shapes under varying market ...

  6. Extreme learning machine - Wikipedia

    en.wikipedia.org/wiki/Extreme_learning_machine

    Extreme learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning with a single layer or multiple layers of hidden nodes, where the parameters of hidden nodes (not just the weights connecting inputs to hidden nodes) need to be tuned.

  7. Let’s talk about why Elon Musk needs $6 billion for xAI - AOL

    www.aol.com/finance/let-talk-why-elon-musk...

    Elon Musk is reportedly looking to raise up to $6 billion for xAI, his nascent ChatGPT competitor, according to a Financial Times report dropped on Friday morning. Though by afternoon, Musk had ...

  8. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    DARPA established the XAI ("Explainable Artificial Intelligence") program in 2014 to try to solve these problems. [260] Several approaches aim to address the transparency problem. SHAP enables to visualise the contribution of each feature to the output. [261] LIME can locally approximate a model's outputs with a simpler, interpretable model. [262]

  9. Elon Musk's xAI nears $10 billion deal to rent Oracle's AI ...

    www.aol.com/news/elon-musks-xai-nears-10...

    The deal would make xAI one of Oracle's largest customers, the report said, as Musk looks to raise funds for xAI in an attempt to rival the AI offerings of OpenAI and Google. XAI was reportedly in ...

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