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Can the g Factor Play a Role in Artificial General Intelligence Research? [PDF]
, 2018 In recent years, a trend in AI research has started to pursue human-level, general artificial intelli-gence (AGI). Although the AGI framework is characterised by different viewpoints on what intelligence is and how to implement it in artificial systems ...
Frixione, Marcello, Serpico, Davide
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Unifying and Merging Well-trained Deep Neural Networks for Inference Stage
, 2018 We propose a novel method to merge convolutional neural-nets for the inference stage. Given two well-trained networks that may have different architectures that handle different tasks, our method aligns the layers of the original networks and merges them
Chan, Yi-Ming +4 more
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World Journal of Advanced Research and ReviewsThe pursuit of Artificial General Intelligence (AGI) has captivated researchers and industry leaders alike, promising a future where machines possess human-like cognitive abilities. However, this ambitious endeavor is fraught with multifaceted challenges
Sedat Sonko +4 more
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Playing Smart - Artificial Intelligence in Computer Games [PDF]
, 2003 : With this document we will present an overview of artificial intelligence in general and artificial intelligence in the context of its use in modern computer games in particular. To this end we will firstly provide an introduction to the terminology of
Anderson, Eike F.
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Multi‐Robot Collaborative Complex Indoor Scene Segmentation via Multiplex Interactive Learning
CAAI Transactions on Intelligence TechnologyIndoor scene semantic segmentation is essential for enabling robots to understand and interact with their environments effectively. However, numerous challenges remain unresolved, particularly in single‐robot systems, which often struggle with the ...
Jinfu Liu +5 more
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Medical TeacherGenerative Artificial Intelligence (GenAI) caught Health Professions Education (HPE) institutions off-guard, and they are currently adjusting to a changed educational environment.
K. Masters +3 more
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npj Digital MedicineLarge language models (LLMs) exhibit a vulnerability arising from being trained to be helpful: a tendency to comply with illogical requests that would generate false information, even when they have the knowledge to identify the request as illogical ...
Shan Chen +8 more
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Creativity Studies, 2023 Marcus and Davis’s Rebooting AI: Building Artificial Intelligence We Can Trust (2019) describes the narrowness of current artificial intelligence, posits constituents of human intelligence it contends artificial intelligence (AI) must reproduce to ...
Joaquin Trujillo
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A deep learning approach to remotely assessing essential tremor with handwritten images
Scientific ReportsEssential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life.
Yumeng Peng +11 more
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Solving Tree Problems with Category Theory
, 2018 Artificial Intelligence (AI) has long pursued models, theories, and techniques to imbue machines with human-like general intelligence. Yet even the currently predominant data-driven approaches in AI seem to be lacking humans' unique ability to solve wide
BC Pierce +14 more
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