Pattern Recognition

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Pattern recognition is a field of study within artificial intelligence and machine learning that focuses on the identification and analysis of patterns or regularities in data. It involves developing algorithms and models that can recognize and classify patterns in various types of data, such as images, text, sound, or numerical data. Pattern recognition techniques are widely used in applications like image recognition, speech recognition, data mining, and predictive analytics. The goal of pattern recognition is to enable computers to automatically identify and understand patterns, leading to automated decision-making and intelligent data analysis.

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CESMII 2023: Dataspaces have arrived in U.S.

Catena-X, the open data ecosystem in the automotive sector, made a significant impact at the 2023 CESMII Annual Member Meeting. Collaborating with CESMII, Catena-X showcased its innovative approach to smart manufacturing, focusing on regulatory compliance, data-driven super-apps, and decentralized technology. The Catena-X Association's dialogue with CESMII led to discussions about expanding their open-source software core in the U.S. The joint exploration of a C-X Hub U.S. with CESMII marked a successful step in accelerating Catena-X's activities in the U.S., as reflected in their recent engagements and presentations.

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Chris S. Langdon

Nov 20, 2023

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CESMII 2023: International Manufacturing-X (IM-X) – “Make data work”

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Chris S. Langdon

Nov 06, 2023

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Dataspaces tour through Europe: T-Systems in Naples and Vienna

Join the forefront of innovation with Telekom Data Intelligence Hub's cutting-edge dataspaces solutions, in partnership with IDSA. Explore the transformative potential of sovereign data sharing through cross-country collaborations, paving the way for a new era of digital possibilities.

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Nina Popanton

Oct 30, 2023