Build reliable multimodal AI apps with text, voice, and vision using shared context, smart orchestration, routing, and ...

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

As large language models (LLMs) evolve into multimodal systems that can handle text, images, voice and code, they’re also becoming powerful orchestrators of external tools and connectors. With this ...

An ongoing smishing campaign is targeting New Yorkers with text messages posing as the Department of Taxation and Finance, claiming to offer "Inflation Refunds" in an attempt to steal victims' ...

ORLANDO, Florida, Aug 27 (Reuters) - There is legitimate debate about the actual independence of modern-day central banks, but almost everyone agrees that overt politicization of monetary policy – as ...

Houston Mayor John Whitmire quietly pushed to kill the protected bike lanes on Austin Street before construction began—despite city officials insisting it was all about drainage. That's according to a ...

Abstract: Vision-language pre-training models have demonstrated outstanding performance on a wide range of multimodal tasks. Nevertheless, they remain susceptible to multimodal adversarial examples.

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of ...