Recognition: Computers think only in terms of numbers, not text. This means that any NLP solution needs to convert text into numbers so computers can understand them. Understanding: Once the text has ...

1. Automating Data Analysis and Pattern Recognition AI, particularly machine learning algorithms, can analyze vast amounts of data faster and more efficiently than traditional statistical software.

About Samuel Greengard is a business and technology writer based in West Linn, Oregon. He is author of The Internet of Things (MIT Press) and Virtual Reality (MIT Press).

According to a comprehensive comparison of algorithms, it is safe to say that Deep Learning is the way to go fortext classification. Natural Language Processing Algorithms for Machine Translation ...

You can’t, however, feed and pet an orange. How it translates to NLP. Algorithms based on distributional semantics have been largely responsible for the recent breakthroughs in NLP.

--GBT Technologies Inc., is evaluating the use of advanced NLP algorithm model to enhance its AI based healthcare advisory system human interaction experience. The Text-To-Text Transfer ...

Proximal algorithms are useful for obtaining solutions to difficult optimization problems, especially those involving nonsmooth or composite objective functions. A proximal algorithm is one whose ...

A team of researchers has unveiled a novel statistical algorithm, capable of identifying potential disease genes in a more accurate and cost-effective way. A new study, affiliated with UNIST has ...