Back to blog
AB
Abdelrahman Elgendy
Author · Ultralytics
Abdelrahman Elgendy is a contributing author at Ultralytics, where he writes about computer vision and AI. His articles cover topics such as Ultralytics YOLO models, edge computing, AI bias in vision systems, and computer vision applications across industries including agriculture, healthcare, retail, and smart cities.
Articles
Understanding AI bias and dataset bias in vision AI systems
Learn how dataset bias impacts computer vision models and how Ultralytics YOLO11 helps reduce bias with smart augmentation and flexible training tools.
Edge AI and Edge Computing: Powering real-time intelligence
Discover how Edge AI and edge computing enable real-time intelligence, lower latency, and smarter computer vision at the edge.
Vision AI telecom solutions are driving safer network operations
Discover how Vision AI telecom solutions help providers detect defects, monitor safety, and maintain network reliability by streamlining operations.
How does AGI work? A glimpse into tomorrow's AI innovations
Discover how AGI could learn, reason, and adapt across tasks, transforming AI applications in vision, robotics, and automation.
What is overfitting in computer vision and how to prevent it?
Learn what overfitting is in computer vision and how to prevent it using data augmentation, regularization, and pre-trained models.
Multi-modal models and multi-modal learning: Expanding AI’s capabilities
Explore how multi-modal models integrate text, images, audio, and sensor data to boost AI perception, reasoning, and decision-making.
Beekeeping with computer vision: Smarter hive monitoring
Discover how computer vision helps beekeepers track hive activity, detect diseases, and optimize pollination for healthier bee colonies.
Using Ultralytics YOLO11 and computer vision in supermarkets
Discover how Ultralytics YOLO11 can enhance supermarket efficiency through customer heat maps, inventory tracking, and theft prevention.
Computer vision in space: Advancing exploration & imaging
Discover how computer vision improves space exploration, from asteroid detection and exoplanet discovery to autonomous docking and terrain mapping.
Computer vision for smarter lab workflows
Explore how computer vision can enhance laboratory efficiency, from equipment detection to safety monitoring and microscopic analysis.
Using computer vision in cycling
Discover how computer vision models like Ultralytics YOLO11 enhance cycling safety, tracking cyclists, detecting helmets, and analyzing speed for improved road awareness.
2025 AI trends: The innovations to look out for this year
Discover the top computer vision and AI trends for 2025, from AGI advancements to self-supervised learning, shaping the future of intelligent systems.