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Central to the YouTube Automation business model are various streams of income, predominantly anchored by the YouTube Partner Program (YPP). In this program, channels generate revenue through advertisements displayed on their videos, with the income determined by the Cost Per Mille (CPM) metric that indicates the cost advertisers are willing to ...
In January 2023, Crash Course announced that they would be offering college courses on YouTube, in continued partnership with ASU and Google. The course content would be available online for free, with the full online course available through ASU for US$25 , which would be led by ASU faculty and include direct interaction.
GUVI (named as an acronym of Grab Your Vernacular Imprint) is an online platform to learn computer programming based in India.It offers free and paid coding courses to students and working professionals in Indian languages such as Hindi, Telugu, Kannada, Swahili, Bengali, Tamil, and in English.
Sorted into folders by class of events as well as metadata in a JSON file and annotations in a CSV file. 1,059 Sound Classification 2014 [146] [147] J. Salamon et al. AudioSet 10-second sound snippets from YouTube videos, and an ontology of over 500 labels. 128-d PCA'd VGG-ish features every 1 second. 2,084,320
Automation engineers are responsible for creating detailed design specifications and other documents, developing automation based on specific requirements for the process involved, and conforming to international standards like IEC-61508, local standards, and other process specific guidelines and specifications, simulate, test and commission ...
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Autonomous automation – autonomous software agents to adapt the controllers of computer controlled industrial machinery and processes; Banking automation; Broadcast automation; Building automation – advanced functionality provided by the control system of a building. A building automation system (BAS) is an example of a distributed control ...
It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms. The embodiment of the robot, situated in a physical embedding, provides at the same time specific difficulties (e.g. high-dimensionality, real time constraints for collecting data and learning) and opportunities for guiding ...