For image editing, it also excels in complex editing tasks. 2 Therefore, it is nearly impossible for a well-trained model to meet all human requirements, and the

Samsung Galaxy Unpacked 2026 is Feb. 25 Valve's Steam Machine: Everything we know Federal court rules that OpenAI must stop using the term'Cameo' The company's video generator Sora offered a feature bearing the name. Cameo, the platform where celebrities sell short, personalized videos, has scored a in a trademark against OpenAI. A California judge has ruled that the AI company's video generation tool cannot use the term'cameo' or any variation likely to cause confusion. A temporary restraining order in the case was in November of last year. The suit was in response to a feature available within the at launch called'Cameo' that allowed users to add any likeness to videos they generated.

The objective of dataset condensation is to ensure that the model trained with the synthetic dataset can perform comparably to the model trained with full datasets. However, existing methods predominantly concentrate on classification tasks, posing challenges in their adaptation to time series forecasting (TS-forecasting).

V2A model based on rectified flow matching.

Temporal Domain Generalization (TDG) addresses the challenge of training predictive models under temporally varying data distributions. Traditional TDG approaches typically focus on domain data collected at fixed, discrete time intervals, which limits their capability to capture the inherent dynamics within continuous-evolving and irregularly-observed temporal domains.

We show that it provides significant benefits to RL agents on a suite of gridworld, CARL and MetaWorld tasks.