In many ways, nuclear energy stocks today can almost be considered AI stocks. That's because the multitrillion-dollar global data center build-out to support AI technologies requires an increasing ...

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with each other. While biological neurons exchange information in the form of ...

Raphael Gomes exposes disturbing objects people have found inside fast-food orders in real-life horror stories. Which debts can't be garnished from your Social Security? Here are 4 to know. Dr. Oz ...

A Penn State research team found that streetlights could double as affordable EV charging stations. After installing 23 units in Kansas City, they discovered these chargers were faster, cheaper, and ...

Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...

Abstract: Automatic weapon detection in surveillance systems, increasing the safety of public areas. In this work, a deep-learningdetection method is presentedthat focuses on real-time performance. A ...

This project is a PCB (Printed Circuit Board) solder defect detection project based on Faster R-CNN. It is mainly used to detect different types of soldering defects in PCB images, especially small ...

Training-free framework that converts SAM3 into a real-time multi-class open-vocabulary detector. Achieves 55.8 AP on COCO val2017 (80 classes) at 15.8 FPS (4 classes, 1008px) on a single RTX 4080.