New AI uncovers hidden patterns in biomedical knowledge graphs

A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...

10 things I learned from burning myself out with AI coding agents

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
IEEE

Reliability of Sensor Network-Based Systems for Arbitrary Shape Plot Monitoring Considering Multiple Failures

Abstract: The paper presents a Python software tool to generate a wireless sensor network (WSN) with the given number of sensors for forestry area monitoring and evaluate the WSN reliability ...
C&EN

WatCon: A Python Tool for Analysis of Conserved Water Networks Across Protein Families

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
IEEE

S2G-GCN: A Plot Classification Network Integrating Spectrum-to-Graph Modeling and Graph Convolutional Network for Compact HFSWR

Abstract: Plot classification refers to the identification of true target plots among initial detections, and it is crucial for target tracking with compact high-frequency surface wave radar (HFSWR) ...
Hosted on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python As shutdown ...
Frontiers

Multi-Scale graph wavelet convolutional network for hyperspectral image classification

Hyperspectral images (HSIs) have very high dimensionality and typically lack sufficient labeled samples, which significantly challenges their processing and analysis. These challenges contribute to ...
WSB Radio

Secret Service believes it thwarted plot that could have dismantled NYC's telecommunications network: Officials

(NEW YORK) -- Secret Service agents believe they have cracked a plot that could have crippled the telecommunications network -- and law enforcement functions -- in the nation's largest city as more ...
USA Today

Secret Service says it foiled plot that could have caused cell phone blackout

The Secret Service said it has foiled a telecommunications network of tens of thousands of devices that could have been used to wipe out cell networks in New York City, all while world leaders ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Phys.org

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
International Monetary Fund

A Python Package to Assist Macroframework Forecasting: Concepts and Examples

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...