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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [2] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 3 ] [ 4 ] based on the input ...
Generative AI may not be coming for your job, but it’s certainly coming to your job. Worldwide, 75% of knowledge workers now use gen AI in their work, according to a recent Microsoft/LinkedIn ...
Opportunity International is leading the creation of 3 generative-AI based apps for high-poverty communities
The future of generative AI is uncertain, but it's here to stay. There is legal uncertainty around AI and its role in licensing and copyrights. In January 2023, three artists filed a lawsuit ...
Aircraft simulators use AI for training aviators. Flight conditions can be simulated that allow pilots to make mistakes without risking themselves or expensive aircraft. Air combat can also be simulated. AI can also be used to operate planes analogously to their control of ground vehicles. Autonomous drones can fly independently or in swarms. [338]
In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".
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