This paper represents a valuable contribution to our understanding of how LFP oscillations and beta band coordination between the hippocampus and prefrontal cortex of rats may relate to learning.

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

Abstract: Machine learning models can support decision-making in mobile terminals (MTs) deployments, but their training generally requires massive datasets and abundant computation resources. This is ...

Abstract: This paper investigates the problem of distributed resource management in underwater acoustic communication networks (UACNs) involving multiple transmitters and receivers. In this setting, ...

DLRover makes the distributed training of large AI models easy, stable, fast and green. It can automatically train the Deep Learning model on the distributed cluster. It helps model developers to ...

With the aim of bridging the gap between laboratory studies and real-world learning experiences, this research investigated the effects of combining retrieval and distributed practice in primary ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

As language models scale in parameter count and reasoning complexity, traditional centralized training pipelines face increasing constraints. High-performance model training often depends on tightly ...