A Q&A with Yuan Luo, PhD, FACMI, FAIMBE, FAMIA, FIAHSI, Chief AI Officer at the NUCATS Institute and Institute for AI in ...
AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...
Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...
Attendees will learn about the goals for the plan, hear recommendations from the project team, and provide feedback on the ...
Synaptics' next generation of Astra multimodal GenAI processors are aimed at powering the future of the intelligent IoT edge.
The approach could transform enterprise AI development by introducing layer-specific retraining that saves both time and cost ...
Just as human eyes tend to focus on pictures before reading accompanying text, multimodal artificial intelligence (AI)—which ...
Multimodal interfaces that combine voice, vision, text, gesture and environmental context are the next step in making ...
Abstract: This paper investigates federated multimodal learning (FML) assisted by unmanned aerial vehicles (UAVs) with a focus on minimizing system latency and providing convergence analysis. In this ...
We introduce Lumina-DiMOO, an omni foundational model for seamless multimodal generation and understanding. Lumina-DiMOO is distinguished by four key innovations: Unified Discrete Diffusion ...
🧠 Unified Multimodal Architecture: Moving beyond the prevalent DiT-based architectures, HunyuanImage-3.0 employs a unified autoregressive framework. This design enables a more direct and integrated ...
aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
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