How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
IEEE

Enhancing Semi-Supervised Brain Tumor Segmentation via Dual-Uncertainty Guided 2.5-D CNN–Transformer and Voxel-Wise Contrastive Learning

Abstract: Data annotation in medical image segmentation is time-consuming and expensive. Semi-supervised learning (SSL) presents a viable solution. However, unlike organ segmentation, current ...
IEEE

A Semi-Supervised Self-Boosting Learning Method for InSAR Phase Denoising

Abstract: Interferogram denoising is critical in interferometric synthetic aperture radar (InSAR) data processing, directly impacting the accuracy and reliability of final products. Current ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Scientific Research Publishing

Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data ()

de Filippis, R. and Al Foysal, A. (2026) Cross-Population Transfer Learning for Antidepressant Treatment Response Prediction: A SHAP-Based Explainability Approach Using Synthetic Multi-Ethnic Data.