Education is a unique area for application of artificial intelligence (AI). In this article, the augmentation perspective and the concept of hybrid intelligence are introduced to frame our thinking about AI in
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System FailureBesmira Nushi , Ece Kamar , Eric Horvitz HCOMP 2018 | July 2018Published by AAAI下载BibTex As machine learning systems move from computer-science laboratories into the open world...
In 2022, 460 million people in China worked remotely and more than 350 million people took advantage of online education. Hybrid models of work, education, entertainment, and social networking that utilize both online and in-person interactions have become normal since the beginning of COVID-19. ...
Deep learning-aided decision support for diagnosis of skin disease across skin tones. Nat. Med. 30, 573–583 (2024). Article CAS PubMed PubMed Central MATH Google Scholar Chang, K. J. et al. Rearrange anatomy inputs like LEGO bricks: applying InSSS-P and a mobile-dense hybrid network...
decisions. The lack of user-friendly ML tools that could help the unaccustomed workforce easily apply ML methods further aggravates the situation. The above-mentioned workforce challenges ensure that a transition towards ML-aided or hybrid solutions in fiber-optic networks is going to be a lengthy ...
Articles Comparing human and AI expertise in the academic peer review process: towards a hybrid approach Shai Farber Pages 871-885 | Received 22 Apr 2024, Accepted 11 Dec 2024, Published online: 20 Jan 2025 Cite this article https://doi.org/10.1080/07294360.2024.2445575 CrossMark Full Articl...
Artificial Intelligence (AI) is now everywhere, including in the classroom. Thus, it is crucial for teachers not only to be able to use AI, but also to und
An FL-based hybrid deep learning technique is employed in this work. To the best of our knowledge, this research is the first study to successfully identify theft detection using FD, as described above. Table 1. A detailed literature review of federated learning and non-federated learning based...
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System FailureBesmira Nushi , Ece Kamar , Eric Horvitz HCOMP 2018 | July 2018Published by AAAIDownload BibTex As machine learning systems move from computer-science laboratories into the open world, the...
The grey-box or hybrid model, utilises the advantageous characteristics of both the white-box and black-box models, and can be developed in different ways. For example, Lin et al. [164] created a model using Modelica to describe the dynamic behaviour of a HVAC system. However, some elemen...