DGRO Wins Out Over VIG: Better Momentum And A Smoother Ride

See why iShares Core Dividend Growth ETF may be a better buy with higher yield, resilient dividend growth & stability in high ...
GitHub

Weather Forecasting with Graph Neural Networks

This project uses spatio-temporal graph neural networks to perform weather forecasting on ERA5 reanalysis data. The model treats the global weather system as a graph where each grid point is a node ...

7,000 Langflow servers are under attack. LangGraph and LangChain have the same holes

Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your ...
InfoQ

GitLab 19.0 Embeds Agentic AI in Secrets, Merge Requests, and Supply Chain Security

GitLab 19.0 extends agentic AI beyond code generation into securing credentials, reviewing and merging changes, and scanning ...
IEEE

Uncertainty Quantification for Traffic Forecasting Using Deep-Ensemble-Based Spatiotemporal Graph Neural Networks

Abstract: Deep-learning-based data-driven forecasting methods have achieved impressive results for traffic forecasting. Specifically, spatiotemporal graph neural networks have emerged as a promising ...

I've reviewed every PDF editor out there - then I had ChatGPT build me a better one

The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...
The Tech Edvocate

How to create neural network

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
IEEE

Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...