Results 11 to 20 of about 1,765,605 (361)
Sensors, 2022 With the rapid concurrent advance of artificial intelligence (AI) and Internet of Things (IoT) technology, manufacturing environments are being upgraded or equipped with a smart and connected infrastructure that empowers workers and supervisors to ...
Chen Li +4 more
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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Engineering, 2020 Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task.
Yixin Zhu +11 more
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Proactive Edge Caching in Vehicular Networks: An Online Bandit Learning Approach
IEEE Access, 2022 Proactively caching content at the network edge is particularly effective in high-mobility vehicular networks, where intermittent connection is the major challenge for seamless content transmission.
Qiao Wang, David Grace
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Philosophy, Ethics, and Humanities in Medicine, 2021 Background Living labs are realistic environments designed to create links between technology developers and end-users (i.e. mostly older adults). Research in LLH (Living labs in health) covers a wide range of studies from non-interventional studies to ...
Guillaume Sacco +7 more
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Challenges and Opportunities for Autonomous UAV Inspection in Solar Photovoltaics [PDF]
E3S Web of ConferencesThis work focuses on identifying the applications, critical challenges and future opportunities of autonomous unmanned aerial vehicles (UAV) in solar photovoltaics (PV) inspection.
Olayiwola Olufemi, Camara Fanta
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Patching interpretable And‐Or‐Graph knowledge representation using augmented reality
Applied AI Letters, 2021 We present a novel augmented reality (AR) interface to provide effective means to diagnose a robot's erroneous behaviors, endow it with new skills, and patch its knowledge structure represented by an And‐Or‐Graph (AOG).
Hangxin Liu, Yixin Zhu, Song‐Chun Zhu
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IEEE Access, 2020 Recurrent neural networks have received vast amount of attention in time series prediction due to their flexibility in capturing dependencies on various scales.
Henry Daniel Chacon +2 more
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Measuring autonomy and emergence via Granger causality [PDF]
, 2010 Concepts of emergence and autonomy are central to artificial life and related cognitive and behavioral sciences. However, quantitative and easy-to-apply measures of these phenomena are mostly lacking.
Anil K. Seth +3 more
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A Critique of Alfred R Mele’s Work on Autonomous Agents: From Self-Control to Autonomy [PDF]
, 2018 The book, Autonomous Agents: From Self-Control to Autonomy (1995), by Alfred R. Mele, deals primarily with two main concepts, “self-control” and “individual autonomy,” and the relationship between them.
Das, Pujarini
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KI - Künstliche Intelligenz, 2014 This position paper describes ongoing work at the Universities of Liverpool, Sheffield and Surrey in the UK on developing hybrid agent architectures for controlling autonomous systems, and specifically for ensuring that agent-controlled dynamic reconfiguration is viable. The work outlined here forms part of the Reconfigurable Autonomy research project.
Dennis, L.A. +6 more
openaire +3 more sources