Veo is our state-of-the-art video generation model. It creates high quality video clips that match the style and content of a user's prompts, in resolutions up to 4K resolution.

It aims to sit above the fray and work well with any application and vendor that the enterprise uses, uniting them all with its orchestrator.

Planning with partial observation is a central challenge in embodied AI. A majority of prior works have tackled this challenge by developing agents that physically explore their environment to update ...

We propose Hymba, a family of small language models featuring a hybrid-head parallel architecture that integrates transformer attention mechanisms with state space models (SSMs) for enhanced efficienc...

Efficient tokenization of videos remains a challenge in training vision models that can process long videos. One promising direction is to develop a tokenizer that can encode long video clips, as it w...

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/ - patrick-kidger/equinox