When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
Blue Headlineq

You’re Trusting AI Agents That Make Decisions You Can’t Explain

AI agents make decisions you can’t explain. AgentXRay reveals how black-box AI workflows can be reconstructed—and why trust is at risk.
IEEE

Using Graph Neural Networks in Reinforcement Learning With Application to Monte Carlo Simulations in Power System Reliability Analysis

Abstract: This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic ...
IEEE

An MDP-Driven Learning Function Selection Strategy for Kriging-Based Structural Reliability Analysis

Abstract: Active learning Kriging is widely used in structural reliability analysis for its computational efficiency and accuracy. While numerous learning functions exist to accelerate Kriging ...
Scientific Research Publishing

Safety Leadership and Safety Performance: An integrative Model for Ghanaian Construction Industry ()

Safety Leadership, Worker Behaviour, Safety Performance, Integrative Model, Ghanaian Construction Industry Share and Cite: ...
GitHub

Crypto-Panda: Cryptocurrency Analysis & Reporting Tool

🔍 What is Crypto-Panda? Crypto-Panda is a smart, automated reporting tool that tracks the cryptocurrency market, analyzes patterns using both quantitative signals and AI, and emails you a report on ...
GitHub

Distribution Reliability & Outage Cost Analytics

Distribution shows high variability across feeders, with mean SAIDI of 378 minutes and median of 58 minutes, indicating significant right-skew from poor performers. Gap analysis vs 25th percentile ...