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Indigo AI and Computational Intelligence | Erin Mills Town Centre
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Modern AI techniques are spectacular, but they face important challenges: (1) they rarely provide an adequate estimate of how accurate their results are, and (2) they largely lack reasoning abilities. A natural way to resolve these challenges is to combine AI techniques with more traditional Computational Intelligence (CI) techniques -- techniques that can handle both accuracy and reasoning. Such combination is the main focus of this book. It contains both theoretical state-of-the-art papers on AI, CI, and combined techniques (including possible use of quantum computing), and applications covering finance, recommender systems, traffic analysis, etc. Several papers describe medical applications: to genomics, gerontology, medical image processing (X-ray, Computer
Tomography, etc.), and psychiatry. The book can be recommended to students, researchers, and practitioners who want to study, apply, and further develop the new techniques.
Modern AI techniques are spectacular, but they face important challenges: (1) they rarely provide an adequate estimate of how accurate their results are, and (2) they largely lack reasoning abilities. A natural way to resolve these challenges is to combine AI techniques with more traditional Computational Intelligence (CI) techniques -- techniques that can handle both accuracy and reasoning. Such combination is the main focus of this book. It contains both theoretical state-of-the-art papers on AI, CI, and combined techniques (including possible use of quantum computing), and applications covering finance, recommender systems, traffic analysis, etc. Several papers describe medical applications: to genomics, gerontology, medical image processing (X-ray, Computer
Tomography, etc.), and psychiatry. The book can be recommended to students, researchers, and practitioners who want to study, apply, and further develop the new techniques.
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