Kavli Affiliate: Charles M. Rice | Authors: Alexandra L. Tse, Cory M. Acreman, Inna Ricardo-Lax, Jacob Berrigan, Gorka Lasso, Toheeb Balogun, Fiona L. Kearns, Lorenzo Casalino, Georgia L. McClain, Amartya Mudry Chandran, Charlotte Lemeunier, Rommie E. Amaro, Charles M. Rice, Rohit K. Jangra, Jason S. McLellan, Kartik Chandran and Emily Happy Miller | Summary: The […]
Kavli Affiliate: Daniel Minor | Authors: Shatabdi Roy-Chowdhury, Seil Jang, Fayal Abderemane-Ali, Fiona Naughton, Michael Grabe and Daniel L Minor, Jr. | Summary: The halothane-inhibited K2P leak potassium channel K2P13.1 (THIK-1)1–3 is found in diverse cells1,4 including neurons1,5 and microglia6–8 where it affects surveillance6, synaptic pruning7, phagocytosis7, and inflammasome-mediated interleukin-1β release6,8,9. As with many K2Ps1,5,10–14 […]
Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: David Robinson, Camille Avestruz, Nickolay Y. Gnedin, , | Summary: Fast and accurate approximations of gas cooling and heating functions are needed for hydrodynamic galaxy simulations. We use machine learning to analyze atomic gas cooling and heating functions in the presence of a generalized incident local […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Vedang Lad, Wes Gurnee, Max Tegmark, , | Summary: We demonstrate and investigate the remarkable robustness of Large Language Models by deleting and swapping adjacent layers. We find that deleting and swapping interventions retain 72-95% of the original model’s prediction accuracy without fine-tuning, whereas models with more […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yuxin Xie, Tao Zhou, Yi Zhou, Geng Chen, | Summary: Weakly-supervised medical image segmentation is a challenging task that aims to reduce the annotation cost while keep the segmentation performance. In this paper, we present a novel framework, SimTxtSeg, that leverages simple text cues to generate high-quality […]
Kavli Affiliate: Zhuo Li | First 5 Authors: Shezheng Song, Shasha Li, Jie Yu, Shan Zhao, Xiaopeng Li | Summary: Our study delves into Multimodal Entity Linking, aligning the mention in multimodal information with entities in knowledge base. Existing methods are still facing challenges like ambiguous entity representations and limited image information utilization. Thus, we […]
Kavli Affiliate: Ke Wang | First 5 Authors: Binghong Liu, Ziqi Zhao, Shupan Li, Ke Wang, | Summary: Deep learning has become a crucial technology for making breakthroughs in many fields. Nevertheless, it still faces two important challenges in theoretical and applied aspects. The first lies in the shortcomings of gradient descent based learning schemes […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Neel R. Vora, Yilun Xu, Akel Hashim, Neelay Fruitwala, Ho Nam Nguyen | Summary: Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most […]