Discover how artificial intelligence is enhancing fraud detection across online platforms, using real-time analytics and ...

In today’s digital age, cyber threats are evolving faster than ever, forcing organizations to rethink traditional security measures. AI-powered cybersecurity ...

Cloud SIEMs are great until a "noisy neighbor" hogs all the resources. You need a vendor that actually engineers fairness so ...

An international reserch team developed two deep learning-based IDS models to enhance cybersecurity in SCADA systems. The ...

In this piece Osvaldo Aldao, Chief Technology, Strategy, and Product Officer at Enea, explores the mobile industry’s growing ...

Databricks Launches Lakewatch Cybersecurity Platform Ahead of IPO Introduction As organizations increasingly rely on data ...

feature CERN is nothing like today's agentic AI jockeys, who mostly rely on pre-set weights and generic TPUs and GPUs to ...

Overview:  Data science projects are driving innovation across industries like healthcare, finance, and climate science.AI ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Abstract: Video anomaly detection (VAD) aims to discover behaviors or events deviating from the normality in videos. As a long-standing task in the field of computer vision, VAD has witnessed much ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, and RandLA-Net— on a Flash Lidar dataset. The ...