Kavli Affiliate: Kaisey Mandel | Summary:Astrophysical variabilities of Type Ia supernovae (SNe Ia), such as their link with their birth environment, are now one of the leading sources of systematic uncertainties on the measurement of the dark energy equation-of-state parameter $w$. Population studies of SNe Ia, using large samples, give precious insights into these variabilities. […]
Kavli Affiliate: Claudio Ricci | Summary:X-ray spectral modeling is a powerful tool for studying the immediate environment of accreting objects, including supermassive black holes. Several models, either phenomenological or physically driven, have been developed over the past decade to study X-ray spectra, delivering important insights into the properties of circumnuclear material of active galactic nuclei […]
Kavli Affiliate: Joel Moore | Summary:The emergence of colossal magnetoresistance in a new generation of Eu$^2+$-based antiferromagnets is intriguing given stark contrasts to the archetypal perovskite manganites and doped Eu-chalcogenides. In this study the thermal conductivity and magnetostriction of Eu$_5$Sn$_2$As$_6$ — one such representative — have been measured to better understand the role of the […]
Kavli Affiliate: James Analytis| Summary:The ever-increasing demand for fast, reliable, and energy-efficient information storage continues to push magnetic memory technologies toward their fundamental limits. Conventional scaling strategies, which rely on reducing bit size, inevitably run into the "magnetic recording trilemma," where signal-to-noise ratio, thermal stability, and writability cannot all be optimized simultaneously. Heat-assisted magnetic recording […]
Kavli Affiliate: Menno Witter | Authors: Dorottya M Ralbovszki, Jesse J Westfall, Yuki Mori, Stamatios A Tahas, Mads F Bertelsen, Irina Korshunova, Josefine Skov, Jan Gorodkin, Martin Hemberg, Ernst Stefan Seemann, Vanessa Hall, Menno Witter and Konstantin Khodosevich | Summary: Spatial navigation is a fundamental mammalian ability, supported by the entorhinal cortex (EC), a structurally […]
Kavli Affiliate: Mark Ellisman | Authors: Zhaoqi Yan, Andrew S Mendiola, Kelli Lauderdale, Keun-Young Kim, Yu Yong, Kun Leng, Eric A Bushong, Renaud Schuck, Anke Meyer-Franke, Ayushi Agrawal, Michela Traglia, Natalie Gill, Reuben Thomas, Jonah N Keller, Nikolaos Karvelas, Miguel F Vasquez, Daniel C Ballard, Matthew Madany, Jeffrey Simms, Brandon Guo, Reshmi Tognatta, Maria del […]
Kavli Affiliate: David Muller | Summary:Retargeting human kinematic reference motion onto a robot’s morphology remains a formidable challenge. Existing methods often produce physical inconsistencies, such as foot sliding, self-collisions, or dynamically infeasible motions, which hinder downstream imitation learning. We propose a bilevel optimization framework that jointly adapts reference motions to a robot’s morphology while training […]
Kavli Affiliate: C. David Allis and Mary E. Hatten | Authors: Irma Laas, Matthew R Paul, Natarajan Bhanu, Lijuan Feng, Eve-Ellen Govek, Benjamin A Garcia, Thomas S Carroll, C David Allis, Mary E. Hatten and Kärt Mätlik | Summary: Neuronal maturation is associated with extensive changes in gene expression and chromatin organization. However, the molecular […]
Kavli Affiliate: Jeremias Sulam/p> | Authors: Aaron T. Gudmundson, Zahra Shams, Abdelrahman Gad, Shuyuan Wang, Dunja Simicic, Saipavitra Murali-Manohar, Gizeaddis Lamesgin Simegn, Ipek Özdemir, Christopher W. Davies-Jenkins, Vivek Yedavalli, Georg Oeltzschner, Omer Burak Demirel, Jeremias Sulam, Michael schär, Sandeep Ganji and Richard A. E. Edden | Summary: Purpose To present a first-of-its-kind artificial intelligence (AI-)integrated […]
Kavli Affiliate: Wei Gao| Summary:Agentic reinforcement learning (RL) is reshaping LLM post-training, but end-to-end training time is dominated by compute-intensive, multi-turn rollouts whose resource demand varies significantly across training steps. Resource-fixed systems cannot adapt to this variation, while resource-elastic approaches that provision external GPUs on demand suffer from high allocation overhead and limited availability. We […]