AI generates high-quality images 30 times faster in a single step, MIT News

A new distribution matching distillation (DMD) technique merges GAN principles with diffusion models, achieving 30x faster high-quality image generation in a single computational step and enhancing tools like Stable Diffusion and DALL-E.

Top 25 Deep Learning Applications Used Across Industries

MIT EECS

Generative AI is changing everything. But what's left when the hype is gone?

Ordo Fraterna Fibonacci on LinkedIn: D. Chisholm: Distinguishing between redundancy and consensus when…

Massachusetts Institute of Technology develops a method to speed up image generation by AI by 30 times - GIGAZINE

A far-sighted approach to machine learning, MIT News

NVIDIA Research Shows Interactive Texture Painting with Gen AI at SIGGRAPH Asia Real-Time Live

What developers need to know about generative AI - The GitHub Blog

A Complete Guide to Generative AI - Blockchain Council

How AI could upend the world even more than electricity or the internet

AI hype is built on high test scores. Those tests are flawed.

The promise — and peril — of generative AI

Generative AI Research Spotlight: Demystifying Diffusion-Based Models