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Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
Auctiva is an eBay auction management system. It was founded in 1998. One of the original members of the eBay Developer Council, Auctiva has provided sellers and merchants with tools designed to help increase their sales volume on eBay. Jeff Schlicht, who founded Auctiva, wrote a program to automate the task of placing listings on eBay.
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [52] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [53]
Photologging/hosting Free registration/Pro service Yes Yes Yes [6] 112,000,000 (May 2015) [7] Since 20 May 2013, 1TB free, 200MB per image, all photos display, original files downloadable. Starting January 8 of 2019, free accounts will be limited to 1000 images. The 1TB limit for Pro accounts will be removed. [8] Fotki: Estonia [9] / Fotki, Inc.
Use case analysis is a technique used to identify the requirements of a system (normally associated with software/process design) and the information used to both define processes used and classes (which are a collection of actors and processes) which will be used both in the use case diagram and the overall use case in the development or redesign of a software system or program.
Another variant of the approach above, mainly use for data-intensive, data-centric software programs, is the keeping of all versions of the software under a free and open-source software license, but refraining from providing update scripts from a n to an n+1 version. Users can still deploy and run the open source software.
One notable development is the integration of machine learning algorithms into imaging software, enabling automated analysis and interpretation of medical images. For instance, Rajpurkar et al. (2017) demonstrated the effectiveness of deep learning algorithms in pneumonia detection on chest X-rays, showcasing the potential of machine learning ...