U-Net has become a standard model for medical image segmentation, alleviating the challenges posed by the costly acquisition and labeling of medical data. The convolutional layer, a fundamental ...

Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a fine-grained ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

This paper fills this gap with OpenVision, a fully-open, cost-effective family of vision encoders that match or surpass the performance of OpenAI's CLIP when integrated into multimodal frameworks like ...

AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

We pretrain the transformer encoder–decoder model jointly with the hierarchical contrastive learning loss and the product-to-reactants generation loss, hence bridging the gap between ...

In another advancement in the field of brain-computer interfaces (BCI), a new implant-based system has enabled a paralyzed person to not only talk, but also 'sing' simple melodies through a ...