Interspecies Organoids Reveal Human-Specific Molecular Features of Dopaminergic Neuron Development and Vulnerability

Kavli Affiliate: Alex Pollen | Authors: Sara Nolbrant, Jenelle L. Wallace, Jingwen Ding, Tianjia Zhu, Jess L. Sevetson, Janko Kajtez, Isabella A. Baldacci, Emily K. Corrigan, Kaylynn Hoglin, Reed McMullen, Matthew T. Schmitz, Arnar Breevoort, Dani Swope, Fengxia Wu, Bryan J. Pavlovic, Sofie R. Salama, Agnete Kirkeby, Hao Huang, Nathan K. Schaefer and Alex A. […]


Continue.. Interspecies Organoids Reveal Human-Specific Molecular Features of Dopaminergic Neuron Development and Vulnerability

RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

Kavli Affiliate: Feng Wang | First 5 Authors: Ao Shen, Ao Shen, , , | Summary: Computed Tomography (CT)/X-ray registration in image-guided navigation remains challenging because of its stringent requirements for high accuracy and real-time performance. Traditional "render and compare" methods, relying on iterative projection and comparison, suffer from spatial information loss and domain gap. […]


Continue.. RadGS-Reg: Registering Spine CT with Biplanar X-rays via Joint 3D Radiative Gaussians Reconstruction and 3D/3D Registration

New Interpretations of the Cosmological Preference for a Negative Neutrino Mass

Kavli Affiliate: Peter Graham | Summary:Recent observations of the cosmic microwave background (CMB) and baryon acoustic oscillations (BAO) show some tension with a $Λ$CDM cosmology. For one, the cosmological parameters determined by the CMB are at odds with the expansion history determined by latest BAO measurements. In addition, the combined data has placed uncomfortably strong […]


Continue.. New Interpretations of the Cosmological Preference for a Negative Neutrino Mass

Dark Forces Gathering

Kavli Affiliate: Peter Graham | Summary:Recent observations of the cosmic microwave background (CMB) and baryon acoustic oscillations (BAO) show some tension with a $Λ$CDM cosmology. For one, the cosmological parameters determined by the CMB are at odds with the expansion history determined by latest BAO measurements. In addition, the combined data has placed uncomfortably strong […]


Continue.. Dark Forces Gathering

Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Kavli Affiliate: Feng Yuan | First 5 Authors: Yifan Gao, Yifan Gao, , , | Summary: Foundation models pre-trained on large-scale natural image datasets offer a powerful paradigm for medical image segmentation. However, effectively transferring their learned representations for precise clinical applications remains a challenge. In this work, we propose Dino U-Net, a novel encoder-decoder […]


Continue.. Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation

Physics-Guided Residual Reinforcement Learning for Humanoid Narrow-Path Traversal

Kavli Affiliate: Wei Gao| Summary:Traversing narrow paths is challenging for humanoid robots due to the sparse and safety-critical footholds required. Purely template-based or end-to-end reinforcement learning-based methods suffer from such harsh terrains. This paper proposes a two stage training framework for such narrow path traversing tasks, coupling a template-based foothold planner with a low-level foothold […]


Continue.. Physics-Guided Residual Reinforcement Learning for Humanoid Narrow-Path Traversal

Mineral Detection of Neutrinos and Dark Matter 2025 Proceedings

Kavli Affiliate: Shunsaku Horiuchi | Summary:The third “Mineral Detection of Neutrinos and Dark Matter” (MD$ν$DM’25) meeting was held May 20-23, 2025 in Yokohama, Japan, hosted by the Yokohama Institute for Earth Sciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC). These proceedings compile contributions from the workshop and update the progress of mineral detector research. […]


Continue.. Mineral Detection of Neutrinos and Dark Matter 2025 Proceedings

Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds

Kavli Affiliate: Jing Wang | First 5 Authors: Pengpeng Yu, Pengpeng Yu, , , | Summary: LiDAR point clouds are fundamental to various applications, yet high-precision scans incur substantial storage and transmission overhead. Existing methods typically convert unordered points into hierarchical octree or voxel structures for dense-to-sparse predictive coding. However, the extreme sparsity of geometric […]


Continue.. Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds

Electrical Impedance Tomography with an Integrated Picoliter-Volume Subtractive Microfluidic Chamber in 65 nm CMOS

Kavli Affiliate: Ali Hajimiri | Summary:Electrical impedance tomography with fully integrated microfluidics and electronics is presented for the first time in a CMOS chip. Chambers and electrodes are fabricated in the interconnect layers of a 65 nm CMOS chip through post-processing, enabling picoliter-volumes to be processed and imaged. Tomography maps are reconstructed by reading out […]


Continue.. Electrical Impedance Tomography with an Integrated Picoliter-Volume Subtractive Microfluidic Chamber in 65 nm CMOS