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  2. Explainable artificial intelligence - Wikipedia

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

    XAI counters the "black box" tendency of machine learning, where even the AI's designers cannot explain why it arrived at a specific decision. [6] [7] XAI hopes to help users of AI-powered systems perform more effectively by improving their understanding of how those systems reason. [8] XAI may be an implementation of the social right to ...

  3. Right to explanation - Wikipedia

    en.wikipedia.org/wiki/Right_to_explanation

    The field of Explainable AI seeks to provide better explanations from existing algorithms, and algorithms that are more easily explainable, but it is a young and active field. [ 18 ] [ 19 ] Others argue that the difficulties with explainability are due to its overly narrow focus on technical solutions rather than connecting the issue to the ...

  4. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    In the more general multiple regression model, there are independent variables: = + + + +, where is the -th observation on the -th independent variable.If the first independent variable takes the value 1 for all , =, then is called the regression intercept.

  5. What Elon Musk is really building inside his ChatGPT ... - AOL

    www.aol.com/finance/elon-musk-really-building...

    Solve problems and you get both the answers and confirmation that your AI can think for itself, unlike models such as OpenAI’s GPT-4 that essentially regurgitate their training material.

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

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

    Either way, xAI isn’t Musk’s first AI rodeo. A cofounder of OpenAI, Musk left the company in 2018. ... OpenAI has raised $11.3 billion, according to Crunchbase, and it’s a star-studded cap ...

  7. 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.

  8. Quantum machine learning - Wikipedia

    en.wikipedia.org/wiki/Quantum_machine_learning

    The need for models that can be understood by humans emerges in quantum machine learning in analogy to classical machine learning and drives the research field of explainable quantum machine learning (or XQML [98] in analogy to XAI/XML). These efforts are often also referred to as Interpretable Machine Learning (IML, and by extension IQML). [99]

  9. Elon Musk’s xAI startup could help Tesla with FSD, Optimus ...

    www.aol.com/finance/elon-musk-xai-startup-could...

    A proposal that has been shown to investors calls for Tesla to license xAI’s AI models to help power Full Self-Driving (FSD), which is the company’s driver-assistance software, as well as a ...