Devdiscourse

AI is a double-edged sword for digital privacy

In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...
Devdiscourse

AI systems can create competing ‘algorithmic worlds’ from same data

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

GeoCue to Unveil Four New LP360 Software Add-ons at Geo Week 2026

Denver, CO, Feb. 17, 2026 (GLOBE NEWSWIRE) -- GeoCue will unveil four new add-ons for its LP360 Drone point cloud processing software at Geo Week 2026 in Denver: AI Ground+, AI Forestry, AI Utilities ...
Science Daily

Mysterious RNA led scientists to a hidden layer of cancer

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

Research Ignited Students Publish Academic Papers and Build AI Models in Expanded PhD-Led Program

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study

Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Psychology Today

AI Foundation Model Predicts Diseases From Brain Scans

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Frontiers

Research on interpretable machine learning models for diagnosis and staging of mild cognitive impairment

Background: Mild cognitive impairment (MCI) is a critical prodromal stage of Alzheimer’s disease (AD), further categorized into early MCI (EMCI) and late MCI (LMCI). Early and accurate diagnosis is ...
C&EN

PI3K-Seeker: A Machine Learning-Powered Web Tool to Discover PI3K Inhibitors

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Phosphatidylinositol 3-kinases (PI3Ks) play a crucial role in human metabolism, and ...
Scientific Research Publishing

Mohammad, G. B., Shitharth, S., & Kumar, P. R. (2021). Integrated Machine Learning Model for URL Phishing Detection. International Journal of Grid and Distributed Computing, 14 ...

ABSTRACT: Using Machine Learning to detect malicious URLs can save millions of people’s data every year and protect them from cyber attackers. This carries major financial consequences, particularly ...