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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 ...
Explainable Artificial Intelligence in the context of black box machine learning models: Saliency maps are a prominent tool in XAI, [6] providing visual explanations of the decision-making process of machine learning models, particularly deep neural networks. These maps highlight the regions in input images, text, or other types of data that ...
Algorithms, particularly those utilizing machine learning methods or artificial intelligence (AI), play a growing role in decision-making across various fields. Examples include recommender systems in e-commerce for identifying products a customer might like and AI systems in healthcare that assist in diagnoses and treatment decisions. Despite ...
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 ...
Asked in July whether he intended xAI to make products for the general public or for business customers, Musk vaguely answered that his team’s goal was “to make useful AI, I guess,” with ...
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 ...
Professor Williams is an Artificial Intelligence researcher with transdisciplinary expertise in Cognitive Science, Disruptive Technologies, Digital Transformation, Business and Law. She is listed among Robohub's "Top 25 Women in Robotics", [ 4 ] [ 5 ] and celebrated on the First International Day of Women and Girls in Science.
Company is planning to host Twitter Spaces discussion on Friday where listeners can ask questions