LazySlide, a new computational tool designed to connect whole-slide pathology images with RNA sequencing data through ...

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 ...

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

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 ...

The field of regulatory genomics has evolved rapidly, with increasing complexity in understanding how genes are regulated within the three-dimensional ...

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, ...