How diffusion models turn noise into images
Stable Diffusion, FLUX and most image generators rely on diffusion. A clear explanation of forward noising, learned denoising, text guidance and latent space.
AI Desk3 min read
Computer VisionResearch
Vision Transformer (ViT) explained: an image is worth 16×16 words
In 2020, Google showed that a plain transformer applied to image patches can rival convolutional networks. How ViT works, why it needs lots of data and what it enabled.
AI Desk4 min read
Multimodal AIResearch
CLIP explained: how OpenAI taught a model to connect images and words
CLIP learned from 400 million image-caption pairs to match pictures with text, enabling zero-shot image classification and powering text-to-image generators.
AI Desk4 min read
How self-driving cars see the world: cameras, lidar and radar
The sensors behind autonomous vehicles, what each does best, how AI fuses them into a picture of the road, and the debate between camera-only and multi-sensor designs.
AI Desk3 min read
How AI is used in healthcare today: from scans to clinical notes
Medical imaging, clinical documentation, triage, drug discovery and patient tools: where AI is already used in healthcare, what the evidence shows and the open risks.
AI Desk4 min read
How AI is changing sports: officiating, tactics, training and fans
Hawk-Eye and semi-automated offside, tracking data, tactical analysis, injury prevention, scouting and broadcasting: how AI is used across professional sports.
AI Desk3 min read