Strain variation identifies a neural substrate for behavioral evolution in Drosophila

Kavli Affiliate: Vanessa Ruta | Anna Ryba, Philipp Brand, Rory T. Coleman, Yarden Greenfeld, Yael N. Tsitohay, Florian Hollunder, Katharine Keller, Murtaza Hathiyari, Tianyi Wei, Paolo Emilio Barbano and Vanessa Ruta | Summary: Sexual selection acts on heritable differences within species, driving the parallel diversification of signal production in one sex and behavioral responses in […]


Continue.. Strain variation identifies a neural substrate for behavioral evolution in Drosophila

Towards individualized deep brain stimulation: A stereoencephalography-based workflow for unbiased neurostimulation target identification

Kavli Affiliate: Edward Chang | Authors: Jeremy Saal, Kelly Kadlec, Anusha B. Allawala, Lucille Johnston, Ryan Leriche, Ritwik Vatsyayan, Yiyuan Han, Audrey Kist, Tommaso Di Ianni, Heather E. Dawes, Edward F. Chang, A Moses Lee, Andrew D. Krystal, Khaled Moussawi, Prasad Shirvalkar and Kristin K. Sellers | Summary: Background: Deep-brain stimulation (DBS) is increasingly being […]


Continue.. Towards individualized deep brain stimulation: A stereoencephalography-based workflow for unbiased neurostimulation target identification

The HD 60779 Planetary System: A Transiting Sub-Neptune on a 30-day Orbit and a More Massive Outer World

Kavli Affiliate: Saul A. Rappaport | First 5 Authors: Victoria DiTomasso, Victoria DiTomasso, , , | Summary: We present the discovery of the planetary system orbiting the bright (V = 7.2), nearby (35 pc), Sun-like star HD 60779, which has a mass of 1.050 +/- 0.044 solar masses and a radius of 1.129 +/- 0.013 […]


Continue.. The HD 60779 Planetary System: A Transiting Sub-Neptune on a 30-day Orbit and a More Massive Outer World

On the Variability Features of Active Galactic Nuclei in Little Red Dots

Kavli Affiliate: Luis C. Ho | First 5 Authors: Shuying Zhou, Shuying Zhou, , , | Summary: The high-redshift ($z>4$) compact sources with “V-shaped" spectral energy distributions (SEDs), known as Little Red Dots (LRDs), are discovered by the James Webb Space Telescope and provide valuable clues to the physics of active galactic nuclei (AGNs) in […]


Continue.. On the Variability Features of Active Galactic Nuclei in Little Red Dots

A Comparison of Full Spectral Fitting Codes for Measuring the Stellar Initial Mass Function and Other Stellar Population Properties in Elliptical Galaxies

Kavli Affiliate: Wendy L. Freedman | First 5 Authors: , , , , | Summary: We present a comparative test of four widely used full spectral fitting codes, with the aim of answering the question: how robust is the retrieval of the stellar initial mass function (IMF) and other stellar properties of galaxies? We used […]


Continue.. A Comparison of Full Spectral Fitting Codes for Measuring the Stellar Initial Mass Function and Other Stellar Population Properties in Elliptical Galaxies

Artificial Intelligence-driven Whole-brain Cell Mapping with Highly Multiplexed In Situ Hybridization

Kavli Affiliate: Nathaniel Heintz | Authors: Tatsuya Murakami, Meng Xia, Yurie Maeda, Yuejia Yin, Paolo Emilio Barbano, Ziyi Lin, Tomoyuki Mano, Kazuki Tainaka, Sam Reiter and Nathaniel Heintz | Summary: Recent advances in three-dimensional single-cell-resolution imaging have begun to link organ-wide and cellular level research in development and disease research. Harnessing the power of whole-mount […]


Continue.. Artificial Intelligence-driven Whole-brain Cell Mapping with Highly Multiplexed In Situ Hybridization

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics

Kavli Affiliate: Salman Habib | First 5 Authors: Mohammad Atif, Mohammad Atif, , , | Summary: Next-generation High Energy Physics (HEP) experiments will generate unprecedented data volumes, necessitating High Performance Computing (HPC) integration alongside traditional high-throughput computing. However, HPC adoption in HEP is hindered by the challenge of porting legacy software to heterogeneous architectures and […]


Continue.. CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning

Kavli Affiliate: Yi Zhou | First 5 Authors: Ruiqi Wu, Ruiqi Wu, , , | Summary: Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities with reinforcement learning paradigm. Although several multimodal reasoning models have been explored in the medical domain, most of them focus exclusively on basic reasoning, which refers to shallow […]


Continue.. Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning

Kavli Affiliate: Yi Zhou | First 5 Authors: Ruiqi Wu, Ruiqi Wu, , , | Summary: Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities with reinforcement learning paradigm. Although several multimodal reasoning models have been explored in the medical domain, most of them focus exclusively on basic reasoning, which refers to shallow […]


Continue.. Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning