Gaudenz Boesch

Computer vision vs. human in critical decision-making. Explore hybrid approaches, accuracy comparisons, and more in AI-human collaboration.

Explore top trends in computer vision for 2025: Generative AI, ViTs, multimodal integration, deepfake detection, 3D vision, edge AI, AGVs, XAI, zero/few-shot learning, and ethical

Which industries will reap the most value from computer vision? We discuss the applications where visual intelligence makes a difference.

YOLOv8 is a robust machine learning algorithm with significant improvements. Read on to find out more about the new developments.

We break down all current You Only Look Once (YOLO) versions from Joseph Redmon's original release to v9, v10, v11, and beyond.

Edge Intelligence or Edge AI moves AI computing from the cloud to edge devices, where data is generated. This is a key to AI democratization.

We dive into everything you need to know about the best-performing and most popular computer vision APIs and how you can get started.

While many companies have joined the race to develop AGI, today's popular AI models are still widely considered to be ANI. Why is that?

Embedded systems projects focus on designing and implementing specialized computing solutions into devices for specific applications.

We walk through how contrastive learning enhances ML models by learning differences and similarities in data.

Learn how monocular depth estimation works, and follow a step-by-step tutorial to build your own depth estimation model.

TensorFlow Lite is a lightweight machine learning library to power real-time computer vision with edge devices to solve real-world problems.