What Happens in the First 24 Hours After a New Asset Goes Live

When a new asset goes live, attackers start scanning within minutes. Sprocket Security shows how automated attacks move from ...
Network World

Network Security

New offerings include DefenseClaw, an open-source agent framework designed to automate security and inventory, and AI Defense: Explorer Edition, which provides self-service tools for developers to ...

How to Access Dark Web Safely (Extensive Tutorial)

Here's an extensive darknet tutorial, where we explain how to access dark web safely. Learn how to enter the dark web ...
PC Magazine

Got Wi-Fi Woes? Here's How to Set Up and Find the Perfect Spots for Mesh Network Nodes

Suffering from spotty Wi-Fi in parts of your home? The right mesh network setup can help bring seamless connectivity to every corner. Here's how to optimize your internet connection. I’ve been working ...
NPR

Politics

April 30, 2026 • President Trump says he's nominating former Fox News Channel contributor Dr. Nicole Saphier for surgeon general after Dr. Casey Means' path forward stalled in the Senate over ...
IEEE

Markov Transition Field-Based Convolutional Neural Network Approach for Crack Detection Using Vibration Signals in Low-Power Turbines

Abstract: The detection of structural damage in wind turbine blades is essential for ensuring operational reliability and preventing unexpected failures. This work presents a method based on the ...
IEEE

Bit-Wise Chipless RFID Tag Detection Based on Convolutional Neural Network and Synthetic Data

Abstract: This work presents a bit-wise chipless radio frequency identification (RFID) tag detection framework based on convolutional neural networks (CNNs). The proposed framework demonstrates two ...
GitHub

Build 4 Neural Networks from Scratch in Pure Python

No NumPy. No PyTorch. No magic. Just you, a text editor, and matrix multiplication. I built four neural networks from scratch — no ML libraries, no automatic differentiation, not even NumPy. Just pure ...
GitHub

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Foreseeing Congestion using LSTM on Urban Traffic Flow Clusters ICSAI 2019 Keras; dataset: CityPulse Using LSTM and GRU neural network methods for traffic flow prediction IEEE YAC 2016 Keras; dataset: ...