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Automatic summarization is the process of shortening a set of data computationally, to create a subset (a summary) that represents the most important or relevant information within the original content. Artificial intelligence algorithms are commonly developed and employed to achieve this, specialized for different types of data.
Brent Spiner portrayed the benevolent AI Data in Star Trek: The Next Generation. Optimistic visions of the future of artificial intelligence are possible in science fiction. [12] Benign AI characters include Robbie the Robot, first seen in Forbidden Planet on 1956; Data in Star Trek: The Next Generation from 1987 to 1994; and Pixar's WALL-E in ...
Thankfully, researchers at the Allen Institute for Artificial Intelligence have developed a new model to summarize text from scientific papers, and present it in a few sentences in the form of TL ...
Artificial intelligence characters in video games (1 C, 20 P) V. Fictional virtual assistants (7 P) Pages in category "Fictional artificial intelligences"
Google said Friday it has made “more than a dozen technical improvements” to its artificial intelligence systems after its retooled search engine was found spitting out erroneous information.
This is important to helping our readers understand the context of the analysis and impact of the work. However, if the plot description is overly-detailed, covering the point-by-point details of the work, be bold and rewrite the description to the level more appropriate to a paper-free encyclopedia ; or tag it with {{ plot }} .
Character.ai was established in November 2021. [1] The company's co-founders, Noam Shazeer and Daniel de Freitas, were both engineers from Google. [7] While at Google, the co-founders both worked on AI-related projects: Shazeer was a lead author on a paper that Business Insider reported in April 2023 "has been widely cited as key to today's chatbots", [8] and Freitas was the lead designer of ...
It is important to strike a balance between accuracy – how faithfully the explanation reflects the process of the AI system – and explainability – how well end users understand the process. This is a difficult balance to strike, since the complexity of machine learning makes it difficult for even ML engineers to fully understand, let ...
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