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xAI is a company working on building artificial intelligence to accelerate human scientific discovery. We are guided by our mission to advance our collective understanding of the universe. Our team is led by Elon Musk, CEO of Tesla and SpaceX. Collectively our team contributed some of the most widely used methods in the field, in particular the ...
Jul 12, 2023 · xAI and Musk’s history with artificial intelligence. The team at xAI, led by Musk, includes former employees of prominent AI companies OpenAI and DeepMind, as well as Microsoft and Tesla.
Nov 1, 2023 · XAI has the potential to be extremely beneficial to the AI research community. This subsection explores several prospective areas of research where explainable models are currently being used. Applications of XAI. Meske et al. [49] described the theoretical impact of explainability on AI trust and how XAI may be utilized in a medical setting ...
Jun 1, 2020 · XAI draws as well insights from the Social Sciences [12] and considers the psychology of explanation. Fig. 1 displays the rising trend of contributions on XAI and related concepts. This literature outbreak shares its rationale with the research agendas of national governments and agencies.
Explainable AI (XAI) refers to the ability of an artificial intelligence (AI) system or model to provide clear and understandable explanations for its actions or decisions. In other words, XAI is about making AI transparent and interpretable to humans. In many cases, AI models are trained using complex algorithms and large datasets, which can ...
The price of Xai (XAI) is $0.3598 today with a 24-hour trading volume of $29,284,231. This represents a -2.06% price decline in the last 24 hours and a -22.83% price decline in the past 7 days. With a circulating supply of 280 Million XAI, Xai is valued at a market cap of $99,693,124 . Track the latest Xai price, market cap, trading volume ...
Dec 5, 2023 · Explainable artificial intelligence (XAI) refers to a collection of procedures and techniques that enable machine learning algorithms to produce output and results that are understandable and reliable for human users. Explainable AI is a key component of the fairness, accountability, and transparency (FAT) machine learning paradigm and is ...
