A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data

Kavli Affiliate: Ting Xu | First 5 Authors: Ran Hao, Yanlin Xiang, Junliang Du, Qingyuan He, Jiacheng Hu | Summary: This study proposed a hybrid model of a convolutional neural network (CNN) and a Transformer to predict and diagnose heart disease. Based on CNN’s strength in detecting local features and the Transformer’s high capacity in […]


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ReaderLM-v2: Small Language Model for HTML to Markdown and JSON

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Zesheng Shi, Bo Wang, Nan Wang, Han Xiao | Summary: We present ReaderLM-v2, a compact 1.5 billion parameter language model designed for efficient web content extraction. Our model processes documents up to 512K tokens, transforming messy HTML into clean Markdown or JSON formats with high […]


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ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Reza Nemovi, Alireza Ramezani, Richard M. Murray, Morteza Gharib | Summary: Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this by combining actuators into multi-functional groups and leveraging ground transformation […]


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Collective Neutrino Oscillations in Three Flavors on Qubit and Qutrit Processors

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Luca Spagnoli, Noah Goss, Alessandro Roggero, Ermal Rrapaj, Michael J. Cervia | Summary: Collective neutrino flavor oscillations are of primary importance in understanding the dynamic evolution of core-collapse supernovae and subsequent terrestrial detection, but also among the most challenging aspects of numerical simulations. This situation is complicated […]


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Large Language Models Are Innate Crystal Structure Generators

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Jingru Gan, Peichen Zhong, Yuanqi Du, Yanqiao Zhu, Chenru Duan | Summary: Crystal structure generation is fundamental to materials discovery, enabling the prediction of novel materials with desired properties. While existing approaches leverage Large Language Models (LLMs) through extensive fine-tuning on materials databases, we show that […]


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Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing

Kavli Affiliate: Xiang Zhang | First 5 Authors: Juntai Cao, Xiang Zhang, Raymond Li, Chuyuan Li, Shafiq Joty | Summary: Recent advances in test-time scaling have shown promising results in improving Large Language Models (LLMs) performance through strategic computation allocation during inference. While this approach has demonstrated strong performance improvements in logical and mathematical reasoning […]


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Entanglement buffering with multiple quantum memories

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Álvaro G. Iñesta, Bethany Davies, Sounak Kar, Stephanie Wehner, | Summary: Entanglement buffers are systems that maintain high-quality entanglement, ensuring it is readily available for consumption when needed. In this work, we study the performance of a two-node buffer, where each node has one long-lived quantum memory […]


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A convoy of magnetic millirobots transports endoscopic instruments for minimally-invasive surgery

Kavli Affiliate: Felix Fischer | First 5 Authors: Moonkwang Jeon, Xiangzhou Tan, Felix Fischer, Tian Qiu, | Summary: Small-scale robots offer significant potential in minimally-invasive medical procedures. Due to the nature of soft biological tissues, however, robots are exposed to complex environments with various challenges in locomotion, which is essential to overcome for useful medical […]


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Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?

Kavli Affiliate: Michael Wimmer | First 5 Authors: Adam Celarek, George Kopanas, George Drettakis, Michael Wimmer, Bernhard Kerbl | Summary: Since its introduction, 3D Gaussian Splatting (3DGS) has become an important reference method for learning 3D representations of a captured scene, allowing real-time novel-view synthesis with high visual quality and fast training times. Neural Radiance […]


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Epitaxial high-K AlBN barrier GaN HEMTs

Kavli Affiliate: Grace Xing | First 5 Authors: Chandrashekhar Savant, Thai-Son Nguyen, Kazuki Nomoto, Saurabh Vishwakarma, Siyuan Ma | Summary: We report a polarization-induced 2D electron gas (2DEG) at an epitaxial AlBN/GaN heterojunction grown on a SiC substrate. Using this 2DEG in a long conducting channel, we realize ultra-thin barrier AlBN/GaN high electron mobility transistors […]


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