Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV-1 V2 apex broadly neutralizing antibody development

Posted by dbos UCSF

Kavli Affiliate: Robert Edwards | Authors: Rumi Habib, Ryan S. Roark, Hui Li, Andrew Jesse Connell, Michael P. Hogarty, Kshitij Wagh, Shuyi Wang, Lorie Marchitto, Ashwin N. Skelly, John W. Carey, Kirsten J. Sowers, Kasirajan Ayyanathan, Samantha J. Plante, Frederic Bibollet-Ruche, Younghoon Park, Colby J. Agostino, Ajay Singh, Christian L. Martella, Emily Lewis, Jinery Lora, […]


Continue.. Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV-1 V2 apex broadly neutralizing antibody development

Development of a Charge-Resistant Embedding Media for High-Performance Serial Block Face Imaging of Cells and Tissues

Posted by dbos UCSD / Salk

Kavli Affiliate: Mark Ellisman | Authors: Thomas Deerinck, Steven Peltier and Mark Ellisman | Summary: Serial block-face scanning electron microscopy (SBEM) enables high-resolution 3D imaging of biological specimens but is often limited by specimen charging due to the use of non-conductive epoxy resins. While heavy metal staining and variable-pressure SEM can reduce charging, these methods […]


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The shape of attention: How cognitive goals sculpt cortical representation of speech.

Posted by dbos Hopkins

Kavli Affiliate: Mounya Elhilali | Authors: Moïra-Phoebé Huet and Mounya Elhilali | Summary: Perception requires more than passive sensing—it involves prioritizing the features most relevant to ongoing cognitive goals, a process guided by selective attention. A central question is whether attention operates by enhancing all features of a selected target, or by optimizing neural encoding […]


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Black hole spectroscopy: from theory to experiment

Posted by dbos MIT

Kavli Affiliate: Scott A. Hughes | First 5 Authors: Emanuele Berti, Vitor Cardoso, Gregorio Carullo, Jahed Abedi, Niayesh Afshordi | Summary: The "ringdown" radiation emitted by oscillating black holes has great scientific potential. By carefully predicting the frequencies and amplitudes of black hole quasinormal modes and comparing them with gravitational-wave data from compact binary mergers […]


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AMOR: Adaptive Character Control through Multi-Objective Reinforcement Learning

Posted by dbos Cornell

Kavli Affiliate: David Muller | First 5 Authors: Lucas N. Alegre, Agon Serifi, Ruben Grandia, David Müller, Espen Knoop | Summary: Reinforcement learning (RL) has significantly advanced the control of physics-based and robotic characters that track kinematic reference motion. However, methods typically rely on a weighted sum of conflicting reward functions, requiring extensive tuning to […]


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Measuring topological invariants of even-dimensional non-Hermitian systems through quench dynamics

Posted by dbos UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: The accurate determination of non-Hermitian (NH) topological invariants plays a central role in the study of NH topological phases. In this work, we propose a general framework for directly measuring NH topological invariants in even-dimensional systems through quench dynamics. […]


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Measuring topological invariants of even-dimensional non-Hermitian systems through quench dynamics

Posted by dbos UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Xiao-Dong Lin, Long Zhang, , , | Summary: The accurate determination of non-Hermitian (NH) topological invariants plays a central role in the study of NH topological phases. In this work, we propose a general framework for directly measuring NH topological invariants in even-dimensional systems through quench dynamics. […]


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FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley | Summary: Collaborative training methods like Federated Learning (FL) and Split Learning (SL) enable distributed machine learning without sharing raw data. However, FL assumes clients can train entire models, which is infeasible for large-scale models. In […]


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RoboTransfer: Geometry-Consistent Video Diffusion for Robotic Visual Policy Transfer

Posted by dbos UCAS

Kavli Affiliate: Zheng Zhu | First 5 Authors: Liu Liu, Xiaofeng Wang, Guosheng Zhao, Keyu Li, Wenkang Qin | Summary: Imitation Learning has become a fundamental approach in robotic manipulation. However, collecting large-scale real-world robot demonstrations is prohibitively expensive. Simulators offer a cost-effective alternative, but the sim-to-real gap make it extremely challenging to scale. Therefore, […]


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