How Small is Big Enough? Open Labeled Datasets and the Development of Deep Learning
We investigate the emergence of Deep Learning as a technoscientific field, emphasizing the role of open labeled datasets. Through qualitative and quantitative analyses, we evaluate the role of datasets like CIFAR-10 in advancing computer vision and object recognition.
Aug 18, 2024
AI research in Canadian hospitals: The development of metropolitan competencies
This study explores the deployment of artificial intelligence in Canadian hospitals from 2000 to 2021, focusing on metropolitan areas.
Aug 18, 2024