Frontiers

Deep Learning for Medical Imaging Applications

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
IEEE

Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion

Abstract: Reconstruction of normalized difference vegetation index (NDVI) time series plays an imperative part in the inference of vegetation dynamics. However, it is challenging for the existing ...

The biological benefits of failure on learning and tools to manage the fallout

Albert Einstein once said, "Failure is success in progress." Indeed, while failure can be frustrating, painful, even ...
IEEE

MoRe-ERL: Learning Motion Residuals Using Episodic Reinforcement Learning

Abstract: We propose MoRe-ERL, a framework that combines Episodic Reinforcement Learning (ERL) and residual learning, which refines preplanned reference trajectories into safe, feasible, and efficient ...

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 ...
ahajournals.org

Abstract 4371736: Residual Learning Networks for Automated Detection of Hypertensive Retinopathy: A Multi-Institutional Validation Study

Introduction: Cardiovascular-retinal pathophysiology represents an emerging frontier in precision medicine, with hypertensive retinopathy (HR) serving as a critical biomarker for systemic vascular ...
The New York Times

How A.I. Can Revive a Love of Learning

Modern technology offers new possibilities for transforming teaching. By Anant Agarwal Anant Agarwal is an education innovator. This personal reflection is part of a series called Turning Points, in ...