Over the last few years, there has been increasing debate surrounding the appropriate trademark classification for digital assets. The most recent edition of the Nice Classification (the 12th Edition) ...

A rule-based algorithm was developed using SAS tools to automatically extract and categorize tumor response within progression or no progression categories. 2,970 magnetic resonance imaging, computed ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Earlier this year, Google took the wraps off of AutoML Natural Language, ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers have demonstrated that art data can be automatically classified with ...

Receives Highest Possible Scores in Eleven Criteria, Including Enrichment for Classification, Integrations, Innovation, and Roadmap; Announces Four New AI Security Capabilities at RSA Conference 2026 ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. This article is more than 4 years old. Johannes Gutenberg's printing ...