AI set to transform personality testing, new research finds

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...
News-Medical.Net

Machine learning model predicts liver cancer risk with high accuracy

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Tech Xplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
Tech Xplore on MSN

AI can flag high-risk motorists before getting on the road, scientists say

Scientists at the University of Sharjah have developed a new machine learning model capable of predicting whether a driver is likely to be involved in an accident before getting behind the wheel. Road ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Frontiers

Machine learning prediction of acute myocardial infarction incidence using regional meteorological data

Acute myocardial infarction (AMI) is significantly influenced by meteorological conditions; however, leveraging meteorological data to predict AMI incidence remains challenging. This study aimed to ...
Yahoo

'When is it enough?': Lawmakers advance bill criminalizing using the bathroom of another gender

Add Yahoo as a preferred source to see more of our stories on Google. The House Judiciary, Rules and Administration committee voted 10-5 Wednesday to advance a bill that would create criminal ...
IEEE

OEF-LULC: An Optimized and Explainable AI-Based Framework for Land Use Land Cover Classification

Abstract: Deep learning has made significant contributions for agriculture and environmental monitoring. However, it is often viewed as “unexplainable black box”, which limits its adoption and trust.
Scientific Research Publishing

Buolamwini, J., & Gebru, T. (2018). Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. Proceedings of Machine Learning Research, 81, 77-91.

ABSTRACT: The ubiquitous use of biometric technology in contemporary society, from unlocking smartphones to enforcing border control and law, has raised concerns regarding its impact on minority ...
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...