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Merative L.P., formerly IBM Watson Health, is an American medical technology company that provides products and services that help clients facilitate medical research, clinical research, real world evidence, and healthcare services, through the use of artificial intelligence, data analytics, cloud computing, and other advanced information technology.
Analysis Group, Inc. (AG), founded in 1981 by economists Bruce E. Stangle and Michael F. Koehn, [1] [2] is an economic consulting firm based in North America. It provides economic, financial, and strategic analysis and expert testimony to law firms, corporations, and government agencies.
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.
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Pushpak Bhattacharyya is a computer scientist and a professor at Computer Science and Engineering Department, IIT Bombay.He served as the director of Indian Institute of Technology Patna from 2015 to 2021. [1]
NXIVM (/ ˈ n ɛ k s i ə m / NEK-see-əm) was a cult led by Keith Raniere, a convicted racketeer and sex offender. [3] NXIVM is also the name of the defunct company that Raniere founded in 1998, which provided seminars ostensibly about human potential development, [4] and served as a front organization for criminal activity by Raniere and his close associates.
Treebanks are necessarily constructed according to a particular grammar. The same grammar may be implemented by different file formats. For example, the syntactic analysis for John loves Mary, shown in the figure on the right, may be represented by simple labelled brackets in a text file, like this (following the Penn Treebank notation):
Neural networks are typically trained through empirical risk minimization.This method is based on the idea of optimizing the network's parameters to minimize the difference, or empirical risk, between the predicted output and the actual target values in a given dataset. [4]