Pattern recognition

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning. Pattern recognition systems are in many cases trained from labeled "training" data (supervised learning), but when no labeled data are available other algorithms can be used to discover previously unknown patterns (unsupervised learning).

The terms pattern recognition, machine learning, data mining and knowledge discovery in databases (KDD) are hard to separate, as they largely overlap in their scope. Machine learning is the common term for supervised learning methods and originates from artificial intelligence, whereas KDD and data mining have a larger focus on unsupervised methods and stronger connection to business use. Pattern recognition has its origins in engineering, and the term is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. In pattern recognition, there may be a higher interest to formalize, explain and visualize the pattern, while machine learning traditionally focuses on maximizing the recognition rates. Yet, all of these domains have evolved substantially from their roots in artificial intelligence, engineering and statistics, and they've become increasingly similar by integrating developments and ideas from each other.

Latest News for: Pattern recognition AI

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United Arab Emirates University Tackles Weather with Cutting-Edge AI

The Arabian Post 10 May 2024
Researchers at MBZUAI are exploring a multitude of approaches, leveraging AI’s strengths in data analysis and pattern recognition ... With water scarcity becoming a growing concern in many regions, MBZUAI’s AI models are being designed to analyze data on precipitation levels, reservoir capacities, and irrigation patterns....
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Health Insurance Market: Exploring the Insights into Share, Dynamics, Trends, and Segments

Pharmiweb 10 May 2024
Artificial intelligence (AI) and machine learning (ML)  . AI and machine learning algorithms are currently utilized for the analysis of vast amounts of data, the recognition of patterns, and the generation of data-driven predictions in various fields such as claims management, fraud detection, and customer service....
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How to mitigate AI legal risks by asking the right questions – Ottawa Business Journal

Ottawa Business Journal 01 May 2024
Understanding AI hallucinations and bias ... Rather than prioritizing accuracy, they instead focus on pattern recognition ... Priadka explained that pattern recognition is why AI ‘hallucinations’ occur ... Pattern recognition is also a possible culprit behind potential biases in the context of recruitment or performance reviews....
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Breaking: AI Could Transform Cancer Treatment by Predicting Immunotherapy Success

The Signal 30 Apr 2024
how artificial intelligence (AI) is poised to predict immunotherapy success ... By analyzing large datasets of past patient outcomes, AI can uncover patterns that traditional methods may miss—patterns linked to how well someone might respond to immunotherapy ... AI excels at pattern recognition but benefits most when used to assist, not replace, doctors....
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