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The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
The origin of IBM's dictation machines began with a tube tester company called Radiotechnic Laboratories, founded in the late 1920s in Evanston, IL.Charles Peirce bought the company in 1938 and in an attempt to find new revenue sources, they began making wire recorders for the US Army in 1940.
IBM engineers designed Watson to show how computer systems can analyze and process natural language, and reach predictions or answers. And much like humans, Watson relies heavily on context.
IBM VoiceType (formerly IBM Personal Dictation System) IBM ViaVoice – Embedded version still maintained by IBM. [10] No longer supported for versions above Windows Vista. [11] Untested above macOS 10.4 or on Macintoshes with an Intel chipset. [12] Quack.com; acquired by AOL; the name has now been reused for an iPad search app.
AI technology in data analysis tools such as IBM Watson or Google's Looker Studio can help you make sense of your business data. These tools use machine learning algorithms to identify patterns ...
IBM Watson: Cross-platform: SaaS: Free, commercial (varies by plan) 3.0: No: 50+ Both rule-based and statistical models developed by IBM Research. Neural machine translation models available through the Watson Language Translator API for developers. [4] [5] Microsoft Translator: Cross-platform (web application) SaaS: No fee required: Final: No ...
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