Tech Xplore

Stress-testing AI vision systems: Rethinking how adversarial images are generated

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

The US and China Are Collaborating More Closely on AI Than You Think

WIRED analyzed more than 5,000 papers from NeurIPS using OpenAI’s Codex to understand the areas where the US and China actually work together on AI research.

Wikipedia volunteers spent years cataloging AI tells. Now there’s a plugin to avoid them.

The source material is a guide from WikiProject AI Cleanup, a group of Wikipedia editors who have been hunting AI-generated ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

IIT Madras Opens Admissions For 2nd Batch Of Applied AI & Deep Learning Programme

IITM Pravartak Technologies Foundation has announced admissions for the second batch of its Advanced Certificate in Applied ...
Hosted on MSN

How I’d learn AI from scratch

If I were learning AI from scratch, I’d focus first on building solid fundamentals in Python, math, and problem-solving before jumping into machine learning. Consistent hands-on projects, learning by ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
IEEE

Development of Scalable Deep Learning Frameworks Utilizing Advanced Hybrid Models like Transformer-CNN for Distributed Computing Environments

Abstract: Over the past few years especially in the context of communication and information processing the importance of Natural language processing which demands efficient deep learning models has ...
IEEE

Deep Learning Meets Traditional Machine Learning: CNN-SVM Hybrid Models for Parkinson's Diagnosis

Abstract: Parkinson's disease (PD) is a neurodegenerative disorder that needs early and accurate diagnosis for good management. Our approach in this study is to have a hybrid diagnostic framework ...
IEEE

PCB Defect Detection Using Machine Learning: YOLOv5 and Inception v3 CNN-Based Approach

Abstract: Identification of PCB board defects early in the manufacturing process is crucial, as PCB quality control plays an important role in the electronics manufacturing industry. Defective PCBs ...