PCMag

Google's Project Genie Tool Lets You Build Virtual Worlds for Training or Just Fun

Powered by Google's Genie 3 model, the world-building AI tool is designed to help train AI agents in 3D scenarios, but it ...
IEEE

Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies

Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
CMSWire

7 AI Competencies Marketers Must Master in 2026

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
IEEE

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
Frontiers

Explainable machine learning for stroke risk prediction: a comparative study with SHAP-based interpretation

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...
Frontiers

Recent trends in machine learning and deep learning-based prediction of G-protein coupled receptor-ligand binding affinities

Department of Natural Sciences, Bowie State University, Bowie, MD, United States Accurately predicting protein-ligand binding affinity is key in drug discovery. Machine Learning and Deep Learning ...
GitHub

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
BMJ Open

Generating actionable insights to support point-of-care suicide risk decision-making in a safety-net healthcare system: a machine learning approach to predicting dynamic risk ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...