Since generative AI began to garner public interest, the computer vision research field has deepened its interest in developing AI models capable of understanding and replicating physical laws; however, the challenge of teaching machine learning systems to simulate phenomena such as gravity and liquid dynamics has been a significant focus of research efforts for at […]<br /> The post Fixing Diffusion Models’ Limited Understanding of Mirrors and Reflections appeared first on Unite.AI. [...]
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 Represent [...]
The AI image generation market has had an uncontested leader for months. Google's Nano Banana family of models has set the standard for quality, speed, and commercial adoption, while competitors [...]
The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI mode [...]
GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a [...]
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 [...]
Mistral AI used its first-ever developer conference on Wednesday to announce a sweeping expansion into industrial manufacturing, a new inference data center south of Paris, and a rebranding of its con [...]
Baidu Inc., China's largest search engine company, released a new artificial intelligence model on Monday that its developers claim outperforms competitors from Google and OpenAI on several visio [...]