AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized ...

Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...

Digital content is nowadays available from multiple, heterogeneous sources across a wide range of sensing modalities. Learning from multimodal sources offers the unprecedented possibility of capturing ...

Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which ...

Reflecting on the developments of 2024, this year has been transformative for the entire educational landscape. We’ve witnessed how the thoughtful integration of artificial intelligence can elevate ...

If you have engaged with the latest ChatGPT-4 AI model or perhaps the latest Google search engine, you will of already used multimodal artificial intelligence. However just a few years ago such easy ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

In a groundbreaking development, Meta has unveiled ImageBind, an innovative AI model that bridges the gap between machines and humans in terms of holistic learning from multiple modalities. Unlike ...

Neuroscientists have compiled extensive interdisciplinary findings from neuroscience, psychology, computer modelling and education on the topic of 'learning' in a recent review article. The results of ...