TruthScan Disrupts AI Deepfake Fraud. Here’s How.

TruthScan's new software combats rising deepfake fraud and AI-generated scams by using proprietary algorithms to detect fake ...
North Penn Now

Video Face Swap: Transforming the Way We Edit Videos

AI Video face swap has become one of the most exciting advancements in digital content creation. This technology allows creators to replace faces in videos with remarkable accuracy, opening up new ...

A New Era for Smart Parking Lots: Visual Recognition Technology Assists in Charging Station Space Management

In the current rapid development of smart transportation, smart parking lots are undergoing a significant transformation, ...
Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
katu

Expert warns of AI's limits after facial recognition leads to Portland man arrest

PORTLAND, Ore. (KATU) — Robert "Jacob" Hoopes, a Portland resident and Reed College alumnus, was arrested by FBI agents after being linked to a photo published in an article. Court documents stated he ...
gut.bmj

A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study

Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with contrast-enhanced CT scans (CECT) as the cornerstone of diagnostic ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
IEEE

RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds

Abstract: The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings such as high dense railway ...
Frontiers

Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis

Objective: To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic ...