The true test of any creative tool isn’t its feature list—it’s what you can actually create with it. Specifications and capabilities sound impressive in theory, but real value emerges when you ...

Abstract: Multimodal brain tumor segmentation (BraTS), integrated with surgical robots and navigation systems, enables accurate surgical interventions while maximizing the preservation of surrounding ...

A generalized architectural blueprint for building efficient MLLMs. This template achieves efficiency through a combination of component choices and data flow optimization. Key strategies include: (1) ...

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.

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 ...

Ray's innovative disaggregated hybrid parallelism significantly enhances multimodal AI training efficiency, achieving up to 1.37x throughput improvement and overcoming memory challenges. In a ...

Abstract: In this work, we present FoleyGRAM, a novel approach to video-to-audio generation that emphasizes semantic conditioning through the use of aligned multimodal encoders. Building on prior ...

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...