eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
IEEE

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
Network World

What is co-packaged optics? A solution for surging capacity in AI data center networks

The proliferation of artificial intelligence workloads is creating concern about the ability of data center networks to keep up with demand. One part of the solution is co-packaged optics (CPO), which ...
IEEE

Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction

Abstract: Network Representation Learning (NRL) has achieved remarkable success in learning low-dimensional representations for network nodes. However, most NRL methods, including Graph Neural ...
Forbes

How AI Is Transforming Network Security And Optimization

Effective network management is critical for ensuring reliable system performance and safeguarding the flow of information that powers nearly every business operation. AI has quickly become the ...
InfoWorld

Introduction to Java records: Simplified data-centric programming in Java

Creating simple data classes in Java traditionally required substantial boilerplate code. Consider how we would represent Java’s mascots, Duke and Juggy: public class JavaMascot { private final String ...
The New York Times

‘Unrestrained’ Chinese Cyberattackers May Have Stolen Data From Almost Every American

Information collected during the yearslong Salt Typhoon attack could allow Beijing’s intelligence services to track targets from the United States and dozens of other countries. By Adam Goldman ...
Reuters

China plans network to sell surplus computing power in crackdown on data centre glut

China reviewing data centre sector after building boom National cloud service aims to harness surplus computing power Challenges include real-time power transfer and chip integration July 24 (Reuters) ...
C&EN

The Dynamic Connection Layer (DCL): Enhancing Topological Representation in Chemical Graph Neural Networks

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. In ...
SciELO

Show me the image: a systematic analysis on how results are represented in publications from different fields of biomedical and biological research

Figures are essential to convey the main results of scientific articles. Different biomedical research fields have different methodologies and therefore different forms of data representation. To ...
GitHub

AIKA: Artificial Intelligence for Knowledge Acquisition

AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector ...