🧠 Introduction In the realm of generative modeling, the ability to synthesize high-quality images across diverse resolutions and aspect ratios has been a significant challenge. Traditional models often rely on fixed-resolution inputs, limiting their flexibility and scalability. Enter the Native-resolution Diffusion Transformer (NiT), a novel architecture designed to explicitly handle varying resolutions and aspect ratios

🔍 Introduction Imagine a world where we can simulate car crashes without the need for real-world accidents. While this might sound like science fiction, it’s becoming a reality thanks to advancements in artificial intelligence. A team of researchers, including Anthony Gosselin, Ge Ya Luo, Luis Lara, Florian Golemo, Derek Nowrouzezahrai, Liam Paull, Alexia Jolicoeur-Martineau, and

✨ Introduction The world of artificial intelligence is evolving rapidly. With the recent release of GPT-4o, we’ve seen just how powerful multimodal models can be—especially when it comes to combining text and image understanding. But there’s a major piece missing: 3D content. 3D is everywhere—games, design, virtual reality, robotics—and yet, until now, language models couldn’t

Introduction to Molecular Discovery Life, at its most fundamental level, is made up of molecules. From DNA to proteins, from vitamins to synthetic drugs, molecules form the structural and functional foundation of all living systems. Despite this central role, scientists have only identified a fraction—less than 10%—of the natural molecules that exist on Earth. This