MIT graduate student Alex Kachkine once spent nine months meticulously restoring a damaged baroque Italian painting, which left him plenty of time to wonder if technology could speed things up. Last ...

The second blog was “Three Ways Curvy ILT Together with PLDC Improves Wafer Uniformity,” from April 18, 2025. In 2024, the eBeam Initiative Luminaries Survey found that the number one concern in ...

This paper introduces GeneA-SLAM2, an RGB-D SLAM system for dynamic environments. It eliminates dynamic object interference via depth statistical information and enhances keypoint distribution ...

It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn normal patterns from your metrics and identify deviations. The system includes scripts for data ...

To address this challenge, we propose radiometric resolution and scale-aware masked autoencoder (RSMAE), a novel framework ... image sizes for masked image modeling (MIM), enabling the model to learn ...

The outcome of this study suggests that the imaging and machine learning model might function well using data from different scanners. The Masked Autoencoder (MAE) is an effective self-supervised ...

Abstract: Federated Learning (FL) has emerged as a promising paradigm for collaborative and privacy-preserving model training in medical imaging ... an integrated learning framework where a masked ...