Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
Abstract: Multimodal federated learning (MFL) aims to enrich model training in FL settings where clients are collecting measurements across multiple modalities. However, key challenges to MFL remain ...
This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Microsoft released Phi-4-reasoning-vision-15B this week, a 15-billion-parameter multimodal ...
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) ...
Meta's SAM Audio leverages multimodal prompts for audio separation, offering intuitive sound isolation capabilities. The model introduces state-of-the-art features for various audio processing tasks.
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 ...
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