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                <text>Faculty Publications</text>
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              <text>Davidson, Benny Godwin J.; Muttungal, Peter V.; Tur, Anna</text>
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              <text>Cognitive computing: merging modalities for human like artificial intelligence</text>
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              <text>Multimodal Learning Using Heterogeneous Data;pp.217-221</text>
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              <text>&lt;a href="https://doi.org/10.1016/B978-0-443-27528-9.00006-1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/B978-0-443-27528-9.00006-1&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105032961118?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105032961118?origin=resultslist&lt;/a&gt;</text>
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              <text>Davidson B.G.J., School of Business, University of the Fraser Valley, Abbotsford, BC, Canada; Muttungal P.V., Department of Psychology, Christ University, Karnataka, Bangalore, India; Tur A., Acsenda School of Management, Vancouver, BC, Canada</text>
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              <text>Artificial intelligence (AI) has transformed with cognitive computing, which integrates different modalities such as vision, language, and reasoning to mimic human thought processes. Cognitive computing systems can recognize patterns, understand natural language, and make complex decisions by integrating these modalities. As a result of the interaction between machines, neural networks, and natural language processing, large amounts of data are analyzed, learning continuously from their interactions. As a result of this multimodal integration, the system is able to comprehend and interpret human communication with greater accuracy and context knowledge. Cognitive computing has made significant advances by processing and synthesizing information from a variety of sources, enabling a more holistic understanding of complicated situations. For instance, these systems can better understand context when visual data is combined with textual information. Using cognitive computing to analyze medical images, patients' histories, and clinical notes, healthcare professionals can find it especially helpful in diagnosing patients and planning treatment. As a result of cognitive computing, we can create systems that not only perform specific tasks but also mimic human cognitive functions, so that we can make better decisions. Human-like AI has the potential to revolutionize various industries with intelligent, context-aware solutions that increase productivity and decision-making. The advancement of cognitive computing has made it possible for humans and machines to communicate more intuitively and efficiently, bridging the gap between them.  2026 Elsevier Inc. All rights reserved.</text>
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              <text>Artificial Intelligence; Cognitive process; human-centered computing; humancomputer interaction; natural language processing</text>
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              <text>ISBN: 978-044327528-9; 978-044327529-6;</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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