Results 21 to 30 of about 1,581,448 (326)
Communicative Learning: A Unified Learning Formalism
Engineering, 2023 In this article, we propose a communicative learning (CL) formalism that unifies existing machine learning paradigms, such as passive learning, active learning, algorithmic teaching, and so forth, and facilitates the development of new learning methods ...
Luyao Yuan, Song-Chun Zhu
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Deep learning in bladder cancer imaging: A review
Frontiers in Oncology, 2022 Deep learning (DL) is a rapidly developing field in machine learning (ML). The concept of deep learning originates from research on artificial neural networks and is an upgrade of traditional neural networks.
Mingyang Li +3 more
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Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models [PDF]
arXiv.org, 2023 In this perspective paper, we first comprehensively review existing evaluations of Large Language Models (LLMs) using both standardized tests and ability-oriented benchmarks.
Yuxi Ma, Chi Zhang, Song-Chun Zhu
semanticscholar +1 more source
TRCCBP: Transformer Network for Radar-Based Contactless Continuous Blood Pressure Monitoring
Sensors, 2023 Contactless continuous blood pressure (BP) monitoring is of great significance for daily healthcare. Radar-based continuous monitoring methods typically extract time-domain features manually such as pulse transit time (PTT) to calculate the BP.
Xikang Jiang +5 more
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Asymptotically Unambitious Artificial General Intelligence
, 2020 General intelligence, the ability to solve arbitrary solvable problems, is supposed by many to be artificially constructible. Narrow intelligence, the ability to solve a given particularly difficult problem, has seen impressive recent development ...
Cohen, Michael K +2 more
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Managing the risks of artificial general intelligence: A human factors and ergonomics perspective
Human Factors and Ergonomics in Manufacturing & Service Industries, 2023 Artificial General Intelligence (AGI) is the next and forthcoming evolution of Artificial Intelligence (AI). Though there could be significant benefits to society, there are also concerns that AGI could pose an existential threat.
P. Salmon +9 more
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Computable Artificial General Intelligence [PDF]
arXiv.org, 2022 Artificial general intelligence (AGI) may herald our extinction, according to AI safety research. Yet claims regarding AGI must rely upon mathematical formalisms -- theoretical agents we may analyse or attempt to build.
Michael Timothy Bennett
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The risks associated with Artificial General Intelligence: A systematic review
Journal of experimental and theoretical artificial intelligence (Print), 2021 Artificial General intelligence (AGI) offers enormous benefits for humanity, yet it also poses great risk. The aim of this systematic review was to summarise the peer reviewed literature on the risks associated with AGI. The review followed the Preferred
S. Mclean +5 more
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Residual Convolutional Neural Network for Cardiac Image Segmentation and Heart Disease Diagnosis
IEEE Access, 2020 Deep learning (DL) has been widely used in biomedical image segmentation and automatic disease diagnosis, leading to state-of-the-art performance. However, automated cardiac disease diagnosis heavily relies on cardiac segmentation maps from cardiac ...
Tao Liu +4 more
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From Machine Learning to Artificial General Intelligence: A Roadmap and Implications
Mesopotamian Journal of Big Data, 2023 The prospect of developing artificial general intelligence (AGI) with the same comprehensive capabilities as the human mind presents humanity both tremendous opportunities and dire risks. This paper explores the potential applications and implications of
Omar Ibrahim Obaid
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