That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler ...

Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...

This repository contains the code and models for object detection and tracking from the CMU DIVA system. Our system (INF & MUDSML) achieves the best performance on the ActEv leaderboard (Cached). If ...

Abstract: Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) ...

Attackers behind a self-propagating malware campaign targeting Brazilian financial institutions have accelerated and upgraded their malicious activity, using artificial intelligence (AI) to spawn a ...

This study introduces the first publicly available annotated intraoral image dataset for Artificial Intelligence (AI)-driven dental caries detection, addressing the lack of available datasets. It ...

### For Linux Users python3 -m venv yolov5objtracking source yolov5objtracking/bin/activate ### For Window Users python3 -m venv yolov5objtracking cd ...

Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting malicious code inside ML models lacking, expect the technique to spread.

The timely and accurate detection of unidentified drones is crucial for public safety. However, challenges arise due to background noise in complex environments and limited feature representation of ...

The popular Python Pickle serialization format, which is common for distributing AI models, offers ways for attackers to inject malicious code that will be executed on computers when loading models ...