It is trained on biomedical text data, and multiple data types coming from mice, rats, monkeys, and humans including transcriptomics, methylation, proteomics, and laboratory blood tests. Cambridge, MA ...

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

Robots gain dexterity: CMU and Bosch's Humanoid Transformer with Touch Dreaming uses predictive tactile modeling to improve humanoid robots’ coordination and delicate object handling. AI in drug ...

Multi-modal Speech Transformer Decoders: When Do Multiple Modalities Improve Accuracy? Authors: Guan, Y., Trinh, V.A., Voleti, V., and Whitehill, J.

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...