Results 211 to 220 of about 68,198 (256)

AI in biocuration: challenges, opportunities, and a roadmap for sustainable integration. [PDF]

Bioinform Adv
Arnaboldi V, Schriml LM, Jeffryes M, Li P, Bello S, Sternberg P, Bult C, Cook CE.   +7 more
europepmc   +1 more source

Artificial Intelligence (AI) Supported Decision-Making in Intensive Care Units: Implications for Nursing and Medical Practice. [PDF]

Cureus
Bose S, Prakash A, Prusty AK, Verma R, Padmavathy K, Iragamreddy VR.   +5 more
europepmc   +1 more source

Human-Machine Collaboration in the Teaching of Proof

, 2023
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Human-machine collaboration

Proceedings of the 2026 3rd International Conference on Informatics Education and Computer Technology Applications
This chapter examines the conceptual framework of artificial intelligence (AI) systems in the organisational context in terms of human-machine collaboration in three dimensions: supportive, collaborative, and autonomous AI models. A literature review integrates theoretical approaches on employee perceptions, acceptance and resistance processes, and the
Junhao Cheng, Mingyang Xiao, Yicheng Guan   +2 more
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Human-Machine Collaboration for Face Recognition

Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 2020
Despite advances in deep learning and facial recognition techniques, the problem of fault-intolerant facial recognition remains challenging. With the current state of progress in the field of automatic face recognition and the in-feasibility of fully manual recognition, the situation calls for human-machine collaborative methods.
Saurabh Ravindranath, Rahul Baburaj, Vineeth N. Balasubramanian, NageswaraRao Namburu, Sujit Gujar, C. V. Jawahar   +5 more
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Human–machine collaboration in transcription

Journal of AI, Robotics & Workplace Automation, 2022
As automatic speech recognition (ASR) has improved, it has become a viable tool for content transcription. Prior to the use of ASR for this task, content transcription was achieved through human effort alone. Despite improvements, ASR performance is as yet imperfect, especially in more challenging conditions (eg multiple speakers, noise, nonstandard ...
Corey Miller, Migüel Jetté, Dan Kokotov   +2 more
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cBDI: Towards an Architecture for Human–Machine Collaboration

International Journal of Social Robotics, 2016
Effective human–machine collaboration is a long standing problem within rehabilitation robotics. Machines that affect peer-to-peer interaction hold promise. Agents can serve as the basis for such machines. Belief–desire–intention (BDI) paradigm is used to achieve human-like intelligence. However, the BDI model does not emulate human-like qualities such
Adity Saikia, Shyamanta M. Hazarika
openaire   +1 more source