Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

Gray code is a systematic ordering of binary numbers in a way that each successive value differs from the previous one in ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Abstract: With the development of face forgery technology, fake faces are rampant, threatening the security and authenticity of many fields. Therefore, it is of great significance to study face ...

According to DeepLearning.AI, Amazon has introduced the Nova 2 family, which includes Pro, Omni, Lite, and Sonic models, delivering highly competitive multimodal reasoning and generation capabilities.

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

SAM Audio uses separate encoders for each conditioning signal, an audio encoder for the mixture, a text encoder for the natural language description, a span encoder for time anchors, and a visual ...

Despite notable progress in deep learning, change detection (CD) in remote sensing images continues to pose significant challenges, especially for multimodal datasets due to intrinsic differences [1].

With the great success of large language models, self-supervised pre-training technologies have shown the great promise in the field of drug discovery. In particular, multimodal pre-training models ...