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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.
Just like Watson AI computer with the similar name, Watsonx was named after Thomas J. Watson, IBM's founder and first CEO. [1] On February 13, 2024, Anaconda partnered with IBM to embed its open-source Python packages into Watsonx. [7] Watsonx is currently used at ESPN's Fantasy Football App for managing players' performance. [8]
The project was proposed by Noam Slonim in 2011 as the IBM Research next Grand Challenge, following Deep Blue and the victory of Watson in Jeopardy! [6] [7] It was exposed for the first time in a closed media event at June 18, 2018, in San Francisco, under the leadership of Ranit Aharonov and Slonim, both from the IBM Research lab in Haifa ...
"Watson will help promote IBM's business intelligence, data analytics and data-warehousing software sales. It's all the software you want to use as a business solution," says Louis Miscioscia, an ...
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If it wasn't already clear that AI-powered voice assistants are ready for the workplace, it is now. IBM is not only launching Watson for Cybersecurity, a cognitive computing service that parses ...
IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [ 4 ] [ 5 ] and an initial paper was published 4 days later. [ 6 ] Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, [ 7 ] IBM opened the source code of some ...
IBM Corp announced on Tuesday that some of its Watson artificial intelligence services will now work on rival cloud computing providers as it seeks to win over customers that want greater ...
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