Tech Xplore

Solving the 'Whac-a-mole dilemma': A smarter way to debias AI vision models

In today's hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to ...
ITWeb

Myth: AI and machine learning will automatically fix your data problems

In today’s data-driven world, organisations are investing heavily in analytics, platforms and emerging technologies to unlock value from their data. Yet despite this investment, many still struggle to ...
Forbes

Google's Head Of Learning Says AI Can't Solve Education's Real Problem

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Ben Gomes argues the most important thing in education is something no algorithm can ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
Scientific Research Publishing

Comparative Analysis of Neural Networks and Naive Bayes for Multilingual Text Identification ()

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
Law

Training Alone Is Not Enough: Lessons From 'Recentive' and USPTO AI Examples on Patent Eligible Machine-Learning Claims

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...
IEEE

Comparative Analysis of the Bernoulli and Multinomial Naive Bayes Classifiers for Text Classification in Machine Learning

Abstract: The purpose of the report is a comparative analysis of the Bernoulli and Multinomial Naive Bayes classifiers in text classification for machine learning. The conducted research demonstrates ...
IEEE

Laplace Naive Bayes classifier in the classification of text in machine learning

Abstract: The purpose of this publication is to compare the accuracy of a new algorithm based on the Naive Bayesian classifier using the Laplace distribution and named the Laplace Naive Bayes ...