Cryptopolitan on MSN

The Graph price prediction 2026-2032: Will GRT recapture its ATH?

Key takeaways: The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% ...
Scientific Research Publishing

An Empirical Study Based on Big Data Analysis to Analyze Social Media Group Sentiment and Its Impact on Consumer Psychology ()

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
diginomica

CAMARA's open approach makes telecom network capabilities accessible to AI agents

The Linux Foundation's CAMARA project is exposing telecommunications network capabilities to AI agents through the Model ...
The New York Times

The Theory That Gives Trump a Blank Check for Aggression

The true meaning of “flexible realism” — abroad and at home. Credit...Photo illustration by Ricardo Tomas Supported by By Linda Kinstler Linda Kinstler is a scholar of law and intellectual history and ...
IEEE

Spatio-Temporal Evolutionary Graph Learning for Brain Network Analysis Using Medical Imaging

Abstract: Dynamic functional brain network (DFBN) can flexibly describe the time-varying topological connectivity patterns of the brain, and show great potential in brain disease diagnosis. However, ...
jhuapl

Using Knowledge Graphs to Counter Weapons of Mass Destruction

Many US government agencies and organizations are involved in countering weapons of mass destruction (CWMD). While overall goals and specific mission objectives vary, the US government typically ...
Frontiers

Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection

Background: Alzheimer’s disease (AD) requires early intervention at preclinical stages like subjective memory complaints (SMC). Traditional static brain network analyses lack sensitivity to detect ...
cmu.edu

Using Graph Theory, Ph.D. Student Jane JaeYeon Pyo Demystifies Financial Statements

Jane JaeYeon Pyo, a third-year Tepper School of Business doctoral student, has developed a way to measure the distances between financial statements and a novel method of interpreting them, offering a ...