LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through foundation models, addresses one of the persistent bottlenecks in cancer research: ...

Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...

Since its inception, artificial intelligence (AI) has been developed to mimic the adaptation and self-organization of living organisms or biological ...

Biologic agents themselves have also become more complex, going beyond simply producing naturally occurring macromolecules to altering or modifying them for increased efficiency or more specific ...

Imagine that you want to know the plot of a movie, but you only have access to either the visuals or the sound. With visuals alone, you'll miss all the dialog. With sound alone, you will miss the ...

A team of Apple researchers has announced MM1, a method for building high-performance multimodal large-scale language models (MLLM). Apple's research team has developed a new method called MM1 to ...

We present a research preview of Self-Flow: a scalable approach for training multi-modal generative models. Multi-modal generation requires end-to-end learning across modalities: image, video, audio, ...