Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
AZoRobotics on MSN
Combining AI and X-ray physics to overcome tomography data gaps
With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
Morning Overview on MSN
Different AI models are converging on how they encode reality
Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...
Why was a new multilingual encoder needed? XLM-RoBERTa (XLM-R) has dominated multilingual NLP for more than 5 years, an unusually long reign in AI research. While encoder-only models like BERT and ...
The future of AI is on the edge. The tiny Mu model is how Microsoft is building its new Windows agents. If you’re running on the bleeding edge of Windows, using the Windows Insider program to install ...
In the current multi-modality support within vLLM, the vision encoder (e.g., Qwen_vl) and the language model decoder run within the same worker process. While this tightly coupled architecture is ...
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