Researchers have systematically detailed, step by step, how cognitive maps form in the brain's hippocampus -- a region responsible for learning and memory.

Using a novel deep learning approach, we evaluated the predictive power of the functional connectome during various states (resting state, movie-watching, and n-back) on episodic memory and working ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Law enforcement authorities in the United States and the Netherlands have seized 39 domains and associated ... you were not among the victims of this network with that email address.

In a case with ties to Texas, the U.S. Justice Department has seized domains and servers associated with a Pakistan-based online hacking and fraud-enabling marketplace known commonly as the ...

Industrial maintenance has evolved through three distinct phases. The first phase was purely reactive – fix it when it breaks.

The GAIN domain plays a central role in the activation of adhesion GPCRs. Until now, research has been limited by the low similarity of the amino acid sequences of different GAIN domains, which has ...

However, domain ... knowledge graph representations from semantic information remain limited. In this paper, we develop a natural language processing (NLP) approach to extract knowledge graphs ...

which extends deep convolutional neural networks to better adapt to target domains by mitigating these discrepancies. Despite its potential, the computational complexity of discrepancy metrics, such ...

Methods: To address these challenges, we propose PoseGCN, a Graph Convolutional Network (GCN)-based model that integrates ... we introduce an adaptive learning strategy that incorporates ...