Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

Kavli Affiliate: Carlos Bustamante | Summary:Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O, and task failures due to out-of-memory errors. Simple static resource allocation methods struggle to handle the variability in per-chromosome RAM demands, resulting in poor […]


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PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild

Kavli Affiliate: Felix Fischer| First 5 Authors: Felix B. Mueller, Felix B. Mueller, , , | Summary:Non-human primates are our closest living relatives, and analyzing their behavior is central to research in cognition, evolution, and conservation. Computer vision could greatly aid this research, but existing methods often rely on human-centric pretrained models and focus on […]


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Benchmarking the Thinking Mode of Multimodal Large Language Models in Clinical Tasks

Kavli Affiliate: Ting Xu | First 5 Authors: Jindong Hong, Jindong Hong, , , | Summary: A recent advancement in Multimodal Large Language Models (MLLMs) research is the emergence of "reasoning MLLMs" that offer explicit control over their internal thinking processes (normally referred as the "thinking mode") alongside the standard "non-thinking mode". This capability allows […]


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A robust method for identifying Be stars in the LAMOST Data Release 11 based on Deep-learning approach

Kavli Affiliate: Feng Wang | First 5 Authors: Lei Tan, Lei Tan, , , | Summary: Be stars are rapidly rotating B-type stars that exhibit Balmer emission lines in their optical spectra. These stars play an important role in studies of stellar evolution and disk structures. In this work, we carried out a systematic search […]


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Automated Workflow for Non-Empirical Wannier-Localized Optimal Tuning of Range-Separated Hybrid Functionals

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Stephen E. Gant, Stephen E. Gant, , , | Summary: We introduce an automated workflow for generating non-empirical Wannier-localized optimally-tuned screened range-separated hybrid (WOT-SRSH) functionals. WOT-SRSH functionals have been shown to yield highly accurate fundamental band gaps, band structures, and optical spectra for bulk and 2D […]


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Automated Workflow for Non-Empirical Wannier-Localized Optimal Tuning of Range-Separated Hybrid Functionals

Kavli Affiliate: Jeffrey Neaton | Summary:We introduce an automated workflow for generating non-empirical Wannier-localized optimally-tuned screened range-separated hybrid (WOT-SRSH) functionals. WOT-SRSH functionals have been shown to yield highly accurate fundamental band gaps, band structures, and optical spectra for bulk and 2D semiconductors and insulators. Our workflow automatically and efficiently determines the WOT-SRSH functional parameters for […]


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Intensity and Phase correction Enhanced interferometric scattering microscopy (iSCAT)

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: Interferometric scattering microscopy was widely applied in nanoscopic detection and tracking due to its high sensitivity and label-free manner. The sensitivity is limited by contrast. Oblique illumination provided high contrast with lower power density. However, no model has been […]


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How Do Proteins Fold?

Kavli Affiliate: Carlos Bustamante | Summary:How proteins fold remains a central unsolved problem in biology. While the idea of a folding code embedded in the amino acid sequence was introduced more than 6 decades ago, this code remains undefined. While we now have powerful predictive tools to predict the final native structure of proteins, we […]


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Kimi Linear: An Expressive, Efficient Attention Architecture

Kavli Affiliate: Feng Wang | First 5 Authors: Kimi Team, Kimi Team, , , | Summary: We introduce Kimi Linear, a hybrid linear attention architecture that, for the first time, outperforms full attention under fair comparisons across various scenarios — including short-context, long-context, and reinforcement learning (RL) scaling regimes. At its core lies Kimi Delta […]


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Cosmological and High Energy Physics implications from gravitational-wave background searches in LIGO-Virgo-KAGRA’s O1-O4a runs

Kavli Affiliate: Graham Fleming| First 5 Authors: The LIGO Scientific Collaboration, The LIGO Scientific Collaboration, , , | Summary:We search for gravitational-wave background signals produced by various early Universe processes in the Advanced LIGO O4a dataset, combined with the data from the earlier O1, O2, and O3 (LIGO-Virgo) runs. The absence of detectable signals enables […]


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