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AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...
Archives of social media websites, including Reddit, Twitter, and Hackernews. Text extracted and normalized from WARCs ~100,000,000 posts Json NLP, sentiment, linguistics 2022 [96] [97] J. Baumgartner SEC Filings: EDGAR | Company Filings Text extracted. csv NLP CNAE-9 Dataset Categorization task for free text descriptions of Brazilian companies.
Publications, books and book chapters, preprints and conference proceedings (linked to data sets, funding, publications, patents, clinical trials, and policy documents). Based on CrossRef. Contains citation-based indicators and Altmetric attention scores. Free & Subscription Digital Science & Research Solutions Ltd
In The Christian Science Monitor, author Barbara Spindel states the "lucid", "clear-eyed" and "fascinating" book does a good job documenting that artificial general intelligence is nowhere near, and believes that "many readers will be reassured to know that we will not soon have to bow down to our computer overlords." Spindel expresses surprise ...
The book is intended to explain how computers reason and perceive, and introduce the field of artificial intelligence. It describes the field, both as a branch of engineering and as a science, providing a computational perspective. Ideas for representing knowledge, using knowledge, and building practical systems are provided.
Leading textbook company Pearson has outfitted its digital textbooks—specifically 50 science titles, such as Intro to Biology and Intro to Chemistry—with generative AI study tools. As of this ...
Our team of economists at RAND took this opportunity to analyze what happened in the retail sector pre- and post-2020. Using AI, we analyzed these information-dense SEC disclosures dating back to ...
Data is typically distinguished in spatial data and time-series data, the former can be things like images, maps, graphs, etc. the latter can be e.g. stock-price or a voice recording. Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial.