Abstract: The growing sophistication and frequency of cyber threats demand intelligent, real-time solutions capable of detecting evolving attack patterns. This paper introduces a modular Cyber Threat ...

If you already have your own dataset, you can simply create a custom model with sufficient accuracy using a collection of detection models pre-trained on COCO, KITTI, and OpenImages dataset. DeepLogo ...

Abstract: In the field of autonomous driving, 3-D object detection is a crucial technology. Visual sensors are essential in this area and are widely used for 3-D object detection tasks. Recent ...

HONOLULU (Island News) -- Authorities are hoping a new tool will help in their fight against crime as gun violence continues to grow in the islands. "It's unfortunately growing," said Mike Lambert, ...

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...

Researchers sought to develop a machine learning-based prognostic model that can predict all-cause mortality or liver transplant among patients with autoimmune hepatitis. A machine learning model ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions. A machine learning (ML) model using ...

A specially trained detection dog now prowls Madison high school hallways, using her keen nose to hunt for weapons before they can harm students and teachers. Brett Kavanaugh issues "future crises" ...