Search results
Results from the WOW.Com Content Network
Cannon's algorithm; Chandra–Toueg consensus algorithm; Chandy–Lamport algorithm; Chang and Roberts algorithm; Cole–Vishkin algorithm; Commitment ordering; Comparison of streaming media software; Conflict-free replicated data type; Content delivery network; Cristian's algorithm
Download as PDF; Printable version; ... Glossary of artificial intelligence; List of datasets for machine-learning research. ... Number of records: 100s, 1000s ...
An algorithm is fundamentally a set of rules or defined procedures that is typically designed and used to solve a specific problem or a broad set of problems.. Broadly, algorithms define process(es), sets of rules, or methodologies that are to be followed in calculations, data processing, data mining, pattern recognition, automated reasoning or other problem-solving operations.
15.ai, a real-time artificial intelligence text-to-speech tool developed by an anonymous researcher from MIT. [70] Amazon Polly, a speech synthesis software by Amazon. [71] Festival Speech Synthesis System, a general multi-lingual speech synthesis system developed at the Centre for Speech Technology Research (CSTR) at the University of ...
Examples of artificial intelligence algorithms applied to real-world problems. For technologies used in these applications see: Category:Artificial intelligence; Category:Classification algorithms; Category:Machine learning
He has also authored multiple books on artificial intelligence and its potential promise and peril. In December 2012 Kurzweil was hired by Google in a full-time director of engineering position to "work on new projects involving machine learning and language processing". [ 54 ]
Generalized Hebbian algorithm; Generative artificial intelligence; Generative pre-trained transformer; Generative topographic map; Google Neural Machine Translation; Graph neural network; Grossberg network; Group method of data handling; Growing self-organizing map
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 ...