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Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.
Using four $5 infrared detection sensors placed on vehicles, the students developed a system for AI to scan the surroundings and emit a high-pitched sound when an animal’s body heat is detected ...
A scoring rubric typically includes dimensions or "criteria" on which performance is rated, definitions and examples illustrating measured attributes, and a rating scale for each dimension. Joan Herman, Aschbacher, and Winters identify these elements in scoring rubrics: [ 3 ]
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Scale AI is an American data annotation company in San Francisco, California. It provides labeled data used to train AI applications. Background
The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model.
SMILE Global was tested with medical students at Chungbuk National University. Criteria for high-quality questions, criteria rubrics, and examples of high- and low-quality questions were discussed with students first. As the students were already very experienced in using technology, they spent 60% of their time on the inquiry-making task. [2]
AI images and German Wikipedia, results of a meeting; A Battle for Reality, video essay on AI images and Wikipedia; Wikimedia Commons AI, a rejected proposal for a new Wikimedia sister project aimed at establishing a clear distinction between human-generated content and content produced by artificial intelligence