Physicists develop new protocol for building photonic graph states

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Devdiscourse

How AI can strengthen urban resilience in real time

The findings suggest that advanced AI models, when designed to reflect real-world system interdependencies, can reduce the digital divide in urban resilience planning. Rather than benefiting only data ...
Security Boulevard

NDSS 2025 – Detecting And Explaining Malware Promotion Via App Promotion Graph

Shang Ma (University of Notre Dame), Chaoran Chen (University of Notre Dame), Shao Yang (Case Western Reserve University), Shifu Hou (University of Notre Dame), Toby Jia-Jun Li (University of Notre ...
Devdiscourse

Artificial intelligence could change future of antimicrobial drug discovery: Here's why

Read more about Artificial intelligence could change future of antimicrobial drug discovery: Here's why on Devdiscourse ...

Does Exercise Actually Burn Calories?

Using a sophisticated technique called the “doubly labeled water” method, he measured the daily calorie burn in 30 Hadza ...
MIT Technology Review

This is the most misunderstood graph in AI

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
IEEE

Sparse-Coded Time-Delay DMD with Control for Nonlinear State-Space Modeling on Graphs

Abstract: This study proposes a method for modeling river water-level distribution by integrating dynamic mode decomposition with control (DMDc), time-delay embedding, and sparse modeling using a ...
IEEE

Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs

Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...