A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.

To build the TerraMesh dataset that underpins TerraMind, IBM’s researchers compiled data on everything from biomes to land use, land cover types and regions, to ensure that the model can be used to ...

Recent advances in deep learning have led to several studies demonstrating ... To address these issues, a Convolutional Encoder- Decoder with Scale-Recursive Reconstructor (ConvED-SR) is proposed for ...

Unlike many existing smart garments, the shirt—dubbed SeamFit—doesn’t rely on bulky sensors or a tight, restrictive fit. The ...

noise and artifacts, complexity of brain dynamics, and inter-subject variability. To address these issues, this paper compares a U-shaped encoder-decoder network (UNET) and Bat-based UNET signal ...