In this digital era, artificial intelligence continues to push boundaries, with multimodal AI representing a transformative ...

This work presents potentially important findings suggesting that a combination of transcranial stimulation approaches applied for a short period could improve memory performance after administration.

Abstract: Medical image representations can be learned through medical vision-language contrastive learning (mVLCL ... of-the-art mVLCL methods with consistent improvements across single-modal and ...

Techniques like Vision Transformers (ViT) for image processing and cross-modal attention mechanisms enable these models ... In addition to word-token embedding (numerical representation of the ...

Nevertheless, each medical imaging modal ... more attention is being paid to the deep learning-based methods such as CNN. Therefore, we desire to develop a novel fusion method based on CNN to fuse the ...

even more attention is needed when they combine with other technologies. How might the combination of recent AI advancements with other technologies contribute to increased risks? Open Take, for ...

Every single aspect of human life across the broadest categories of human organization is being reoriented around the pursuit of attention. It is now the defining resource of our age. The ...

Researchers from Zhejiang University and HKUST (Guangzhou) have introduced ProtET, an innovative AI-powered multi-modal protein editing model published in Health Data Science. ProtET leverages ...

Tree structures have been widely used to model intelligent behavior, such as reasoning, problem-solving, and language ...

Most neuroscience research carried out up to date has primarily focused on neurons, the most renowned type of cell in the ...