Rare mutations implicate CGE interneurons as a vulnerable axis of cognitive deficits across psychiatric disorders

Posted by klaurent Columbia, This Week: Neuroscience

Kavli Affiliate: Attila Losonczy | Authors: Stephanie A Herrlinger, Jiayao Wang, Bovey Y Rao, Jonathan Chang, Joseph Gogos, Attila Losonczy and Dennis Vitkup | Summary: Neuropsychiatric disorders such as autism spectrum disorder (ASD) and schizophrenia (SCZ) share genetic risk factors, including rare high penetrance single nucleotide variants and copy number variants (CNVs), and exhibit both […]


Continue.. Rare mutations implicate CGE interneurons as a vulnerable axis of cognitive deficits across psychiatric disorders

Constraints on Non-Thermal Pressure at galaxy cluster outskirts from a Joint SPT and XMM-Newton Analysis

Posted by Chicago

Kavli Affiliate: Bradford A. Benson | First 5 Authors: Arnab Sarkar, Michael McDonald, Lindsey Bleem, Mark Bautz, Bradford A. Benson | Summary: We present joint South Pole Telescope (SPT) and XMM-Newton observations of 8 massive galaxy clusters (0.8–1.7$times$10$^{15}$ M$_{odot}$) spanning a redshift range of 0.16 to 0.35. Employing a novel SZ+X-ray fitting technique, we effectively […]


Continue.. Constraints on Non-Thermal Pressure at galaxy cluster outskirts from a Joint SPT and XMM-Newton Analysis

Massive Black Holes Seeded by Dark Matter — Implications for Little Red Dots and Gravitational Wave Signatures

Posted by Peking

Tingwei Shen, Xuejian Shen, Huangyu Xiao, Mark Vogelsberger, Fangzhou Jiang | Summary: [[{“value”:”Observations of supermassive black holes (SMBHs) at high redshifts challenge standard seeding scenarios. We examine a dissipative self-interacting dark matter (dSIDM) model in which gravothermal collapse leads to the formation of massive BH seeds ab initio. We utilize a semi-analytical framework to predict […]


Continue.. Massive Black Holes Seeded by Dark Matter — Implications for Little Red Dots and Gravitational Wave Signatures

Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Xinyu Zhou, Peng Sun, Tianwei Zhang, Yonggang Wen | Summary: Key-Value cache (texttt{KV} texttt{cache}) compression has emerged as a promising technique to optimize Large Language Model (LLM) serving. It primarily decreases the memory consumption of texttt{KV} texttt{cache} to reduce the computation cost. Despite the development […]


Continue.. Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Formation of the Little Red Dots from the Core-collapse of Self-interacting Dark Matter Halos

Posted by Peking

Fangzhou Jiang, Zixiang Jiang, Haonan Zheng, Luis C. Ho, Kohei Inayoshi | Summary: [[{“value”:”We present a statistical study on the formation and growth of black holes (BHs) seeded by gravothermal core-collapse of self-interacting dark matter (SIDM) halos at high redshifts, using a semi-analytical framework based on Monte-Carlo merger trees. We demonstrate that BH formation via […]


Continue.. Formation of the Little Red Dots from the Core-collapse of Self-interacting Dark Matter Halos

Formation of the Little Red Dots from the Core-collapse of Self-interacting Dark Matter Halos

Posted by Peking

Fangzhou Jiang, Zixiang Jiang, Haonan Zheng, Luis C. Ho, Kohei Inayoshi | Summary: [[{“value”:”We present a statistical study on the formation and growth of black holes (BHs) seeded by gravothermal core-collapse of self-interacting dark matter (SIDM) halos at high redshifts, using a semi-analytical framework based on Monte-Carlo merger trees. We demonstrate that BH formation via […]


Continue.. Formation of the Little Red Dots from the Core-collapse of Self-interacting Dark Matter Halos