Has the gender madness fever finally broken among America’s youth? Eric Kaufmann, a professor of politics at the University of Buckingham, compiled a report for the Centre for Heterodox Social Science ...

What is it with lawyers and AI? We don’t know, but it feels like an inordinate number of them keep screwing up with AI tools, apparently never learning from their colleagues who get publicly crucified ...

This is the online edition of The Wiretap newsletter, your weekly digest of cybersecurity, internet privacy and surveillance news. To get it in your inbox, subscribe here. ICE is using all manner of ...

Abstract: This paper presents a gender classification model based on face features using logistic regression and K-Nearest Neighbors (KNN) classifier. The dataset contained long hair, forehead breadth ...

The Babylonians used separate combinations of two symbols to represent every single number from 1 to 59. That sounds pretty confusing, doesn’t it? Our decimal system seems simple by comparison, with ...

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...

The project aimed to implement a digital processing algorithm of biomedical signals to estimate the chances of survival for patients admitted to the ICU. A classification model based on artificial ...

Exposure-response (ER) analyses are routinely performed in drug development to evaluate the risk-to-benefit ratio, primarily to inform decisions around dose selection, justification, and confirmation ...