In this paper, we introduce an end-to-end quantum algorithm for linear-quadratic control with provable speedups.

Multimodal interleaved datasets featuring free-form interleaved sequences of images and text are crucial for training frontier large multimodal models (LMMs).

This technology is our future threat, warns Serhiy Beskrestnov, who has just got his hands on a newly intercepted Russian drone. It was no ordinary drone either, he discovered. Assisted by artificial intelligence, this unmanned aerial vehicle can find and attack targets on its own. Beskrestnov has examined numerous drones in his role as Ukrainian defence forces consultant. Unlike other models, it didn't send or receive any signals, so could not be jammed.

Such investigations have demonstrated that attention layers are able to implement a wide range of different algorithms, even for the same task, using both positional and semantic attributes of the inputs.

Biodiversity plays a multifaceted role in sustaining ecosystems and supporting human well-being. Primarily, it serves as a cornerstone for ecosystem stability and resilience, providing a natural defence against disturbances such as climate change and invasive species (Cardinale et al., 2012).

Context-dependent systems have been widely studied; see Mooij et al.