Observed epochal variations in X-ray lines from the O Supergiant $ζ$ Puppis do not require substantial changes in the wind mass flux

Posted by dbos MIT

Kavli Affiliate: David P. Huenemoerder | First 5 Authors: Sean J. Gunderson, Kenneth G. Gayley, David P. Huenemoerder, Pragati Pradhan, Nathan A. Miller | Summary: We fit the high resolution textit{Chandra} X-ray spectra of the O supergiant $zeta$ Puppis using the variable boundary condition (VBC) line model to test the stability of its mass-loss rate […]


Continue.. Observed epochal variations in X-ray lines from the O Supergiant $ζ$ Puppis do not require substantial changes in the wind mass flux

RhythmFormer: Extracting rPPG Signals Based on Hierarchical Temporal Periodic Transformer

Posted by dbos Peking

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Bochao Zou, Zizheng Guo, Jiansheng Chen, Huimin Ma, | Summary: Remote photoplethysmography (rPPG) is a non-contact method for detecting physiological signals based on facial videos, holding high potential in various applications such as healthcare, affective computing, anti-spoofing, etc. Due to the periodicity nature of rPPG, the long-range […]


Continue.. RhythmFormer: Extracting rPPG Signals Based on Hierarchical Temporal Periodic Transformer

Me LLaMA: Foundation Large Language Models for Medical Applications

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent advancements in large language models (LLMs) like ChatGPT and LLaMA show promise in medical applications, yet challenges remain in medical language comprehension. This study presents Me-LLaMA, a new medical LLM family based on open-source […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Me LLaMA: Foundation Large Language Models for Medical Applications

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent advancements in large language models (LLMs) such as ChatGPT and LLaMA have hinted at their potential to revolutionize medical applications, yet their application in clinical settings often reveals limitations due to a lack of […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Me LLaMA: Foundation Large Language Models for Medical Applications

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent large language models (LLMs) such as ChatGPT and LLaMA have shown great promise in many AI applications. However, their performance on medical tasks is suboptimal and can be improved by training on extensive domain-specific […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Me LLaMA: Foundation Large Language Models for Medical Applications

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu | Summary: Recent large language models (LLMs) like ChatGPT and LLaMA have shown great promise in many AI applications. However, their performance on medical tasks is suboptimal and can be further improved by training on large domain-specific […]


Continue.. Me LLaMA: Foundation Large Language Models for Medical Applications

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Jiwei Li, Tianwei Zhang | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Posted by dbos Berkeley

Kavli Affiliate: Ting Xu | First 5 Authors: Runyi Hu, Jie Zhang, Ting Xu, Tianwei Zhang, Jiwei Li | Summary: Instruction-driven image editing allows users to quickly edit an image according to text instructions in a forward pass. Nevertheless, malicious users can easily exploit this technique to create fake images, which could cause a crisis […]


Continue.. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Reverse Engineering of Feedforward Cortical-Hippocampal Microcircuits for Modelling Neural Network Function and Dysfunction

Posted by dbos NTNU

Kavli Affiliate: Menno Witter | Authors: Katrine Sjaastad Hanssen, Nicolai Winter-Hjelm, Salome Nora Niethammer, Asgeir Kobro-Flatmoen, Menno P. Witter, Axel Sandvig and Ioanna Sandvig | Summary: Engineered biological neural networks are indispensable models for investigation of neural function and dysfunction from the subcellular to the network level. Notably, advanced neuro-engineering approaches are of significant interest […]


Continue.. Reverse Engineering of Feedforward Cortical-Hippocampal Microcircuits for Modelling Neural Network Function and Dysfunction