AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the ...

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large ...

While Artificial Intelligence (AI) technology is evolving rapidly, AI models still struggle with understanding long videos. A ...

The strength of multimodal AI lies in its ability to combine varied data types, each offering a unique perspective. For example ... meaningfully to the overall analysis. We overcame this by ...

Combining voice, visuals and text into an AI assistant helps small businesses upskill, boost productivity, save money and ...

On Monday, researchers from Microsoft introduced Kosmos-1, a multimodal model that can ... perform general tasks at the level of a human. Visual examples from the Kosmos-1 paper show the model ...

The architecture of Chameleon can unlock new AI applications that require a deep understanding of both visual and textual information. The popular way to create multimodal foundation models is to ...

28, No. 2, 2017 Multimodal Code-pairing and Switching of... This study examines multimodal pairing and switching of codes as features of visual-verbal texts and ... sampling and analysed through ...

Google announced today that it will be integrating Gemini's multimodal capabilities into ... "This experience brings together powerful visual search capabilities in Google Lens with a custom ...