Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...

Why static context don’t scale autonomy - durable agents require a living system that retains precedent, adapts as the business changes, and operates reliably.

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Google Research on November 7, 2025, introduced a new machine learning paradigm called Nested Learning, designed to solve catastrophic forgetting in AI models. This long-standing problem causes models ...

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 ...

State Key Laboratory of Materials-Oriented Chemical Engineering, National Engineering Research Center for Special Separation Membrane, College of Chemical Engineering, Nanjing Tech University, Nanjing ...

1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...

1 Department of Medical Ultrasound, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China 2 Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi ...

Introduction: Accurate wheat yield estimation is crucial for efficient crop management. This study introduces the Spatio–Temporal Fusion Mixture of Experts (STF-MoE) model, an innovative deep learning ...