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

Edit

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....
Edit

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....
Edit

Linus Torvalds on 'Hilarious' AI Hype

Slashdot 19 Apr 2024
Linus Torvalds, discussing the AI hype, in a conversation with Dirk Hohndel, Verizon's Head of the Open Source Program Office ... We have tools that do kernel rewriting, with very complicated scripts, and pattern recognition. AI can be a ... Just be careful, Torvalds warns of "AI BS."...
Edit

AI in Life Sciences: How technological advancements are shaping healthcare in 2024

Pharmiweb 19 Apr 2024
In 2024, the intersection of artificial intelligence (AI) and life sciences is revolutionizing healthcare delivery and patient outcomes ... The Role of AI in Life Sciences ... In healthcare, AI enhances diagnostics through image and pattern recognition algorithms, aiding in the early detection of diseases such as cancer and cardiovascular conditions....
Edit

The dual edges of AI in scientific research

Khaleejtimes 17 Apr 2024
By applying a neural network-based classifier, they were able to identify exoplanets from subtle signals in the telescope’s data, showcasing AI's ability to enhance signal detection and pattern recognition in vast datasets....
Edit

Optimizing business operations through AI

B & FT Online 16 Apr 2024
Through continuous data analysis and pattern recognition, AI-driven systems are empowering businesses to react promptly and decisively, minimizing potential risks and safeguarding valuable assets ... AI systems possess distinctive capabilities such as data analysis and pattern ......
Edit

How Spotify AI plans to know what's going on inside your head, and find the right track for it

NBC Bay Area 15 Apr 2024
Works of curation that are clearly made by actual people with actual preferences remain Ratliff's preference. Even a good playlist, he says, might have been made without much intention and conscience, but just a developed sense of pattern recognition, "whether it's patterns of obscurity or patterns of the broadly known," he said....
Edit

Chinese scientists design large-scale photonic chiplet for artificial general intelligence

People Daily 13 Apr 2024
... computing and efficient real-world AI applications. The rapid development of AI imposes stringent energy efficiency and area efficiency requirements on next-generation computing ... It can only handle simple AI tasks, such as digit classifications or small-scale pattern recognition....
×