A team from Brown University and Deepmind has found that generative video models can produce realistic motion when prompted with artificial forces, without needing 3D models or physics engines.<br /> The article Deepmind's "force prompting" lets AI create realistic video motion without physics engines appeared first on THE DECODER. [...]
The Royal Swedish Academy of Sciences has awarded Google's Chief Scientist of Quantum Hardware the Nobel Prize in Physics alongside former Google employee John Martinis, and University of Califor [...]
At start of December, Google DeepMind released Genie 2. The Genie family of AI systems are what are known as world models. They're capable of generating images as the user — either a human or, [...]
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 [...]
Here's an AI-government collaboration of a less… unsettling variety than some. Google DeepMind is teaming up with the National Hurricane Center (NHC) for tropical cyclone season. The AI researc [...]
OpenAI's new Sora 2 model pushes AI video closer to the mainstream, adding more realistic physics, better control, and, for the first time, high-quality audio. The launch also includes a Sora iOS [...]
Black Forest Labs (BFL) is expanding its FLUX family beyond image generation with today's launch of FLUX 3, a multimodal frontier model trained to understand and generate images, or combined audi [...]