Abstract: Federated Graph learning (FGL) for networked system data enables collaborative model training without sharing raw data, but it also introduces severe privacy risks. Model inversion attacks ...

Far from our solar system, astronomers have finally watched a star consume one of its own planets, catching in real time a ...

For the first time in its 70 years of existence, the National Hurricane Center incorporated AI weather model guidance in its ...

Abstract: The rapid expansion of Internet of Things (IoT) technology has led to a proliferation of smart devices and interconnected systems. Critical factors such as production limitations, cost ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...

For two centuries, mainstream economics has promised that abstract models and free markets would deliver prosperity, ...

This blog breaks down the best mock test platforms for GMAT 2026 using simple comparisons, clean tables, and student-friendly ...

Artificial intelligence is reshaping brain modeling. This review introduces a unified framework where AI functions as a surrogate brain by integrating dynamical modeling, inverse problem solving, and ...

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g., ...