2025-11-07
Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with Representation Autoencoders” (RAE) challenges some of the accepted norms of building diffusion models. The NYU researcher's model is more efficient and accurate than standard diffusion models, takes advantage of the latest research in representation learning and could pave the way for new applications that were previously too difficult or expensive.
This breakthrough could unlock more reliable and powerful features for enterprise applications. "To edit images well, a model has to really understand what’s in them," pape [...]
2025-11-26
It's not just Google's Gemini 3, Nano Banana Pro, and Anthropic's Claude Opus 4.5 we have to be thankful for this year around the Thanksgiving holiday here in the U.S.No, today the Germ [...]
2025-01-02
Looking to level up your content creation game in 2025? You're in the right place! The digital landscape has evolved dramatically, and AI tools have become essential for creators who want to stay [...]
2025-11-20
Infographics rendered without a single spelling error. Complex diagrams one-shotted from paragraph prompts. Logos restored from fragments. And visual outputs so sharp with so much text density and acc [...]
2025-11-04
When the transformer architecture was introduced in 2017 in the now seminal Google paper "Attention Is All You Need," it became an instant cornerstone of modern artificial intelligence. Ever [...]
2025-10-02
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]
2025-04-16
With the A1, Sony was the first to introduce a high-resolution hybrid camera that was equally adept at stills and video — but boy was it expensive. Nikon and Canon followed that template with the R5 [...]
2025-02-20
NYU Langone has built an LLM research companion and medical advisor, and is pioneering what it calls AI-driven “precision medical education." [...]