Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen | Summary: The advent of large language models (LLMs) has revolutionized the field of text generation, producing outputs that closely mimic human-like writing. Although academic and industrial institutions have developed detectors to prevent the malicious usage of […]


Continue.. Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors

Foundation Models in Electrocardiogram: A Review

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Han, Xiaofeng Liu, Xiang Zhang, Cheng Ding, | Summary: The electrocardiogram (ECG) is ubiquitous across various healthcare domains, such as cardiac arrhythmia detection and sleep monitoring, making ECG analysis critically essential. Traditional deep learning models for ECG are task-specific, with a narrow scope of functionality and […]


Continue.. Foundation Models in Electrocardiogram: A Review

Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Lei Zhang, Jan Kloppenburg, Chia-Yi Lin, Luka Mitrovic, Simon Gelin | Summary: Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the […]


Continue.. Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Kavli Affiliate: Jin Suntivich | First 5 Authors: Lei Zhang, Jan Kloppenburg, Chia-Yi Lin, Luka Mitrovic, Simon Gelin | Summary: Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the thermodynamic […]


Continue.. Atomistic understanding of hydrogen coverage on RuO2(110) surface under electrochemical conditions from ab initio statistical thermodynamics

Ultrafast single-photon detection using nanophotonic parametric amplifiers

Kavli Affiliate: Alireza Marandi | First 5 Authors: Elina Sendonaris, James Williams, Rajveer Nehra, Robert Gray, Ryoto Sekine | Summary: Integrated photonic quantum information processing (QIP) has advanced rapidly due to progress in various nanophotonic platforms. Single photon detectors have been the subject of intense study due to their ubiquity in QIP systems, yet many […]


Continue.. Ultrafast single-photon detection using nanophotonic parametric amplifiers

Ultrafast single-photon detection using nanophotonic parametric amplifiers

Kavli Affiliate: Alireza Marandi | First 5 Authors: Elina Sendonaris, James Williams, Rajveer Nehra, Robert Gray, Ryoto Sekine | Summary: Integrated photonic quantum information processing (QIP) has advanced rapidly due to progress in various nanophotonic platforms. Single photon detectors have been the subject of intense study due to their ubiquity in QIP systems, yet many […]


Continue.. Ultrafast single-photon detection using nanophotonic parametric amplifiers

LEO-based Positioning: Foundations, Signal Design, and Receiver Enhancements for 6G NTN

Kavli Affiliate: Feng Wang | First 5 Authors: Harish K. Dureppagari, Chiranjib Saha, Harikumar Krishnamurthy, Xiao Feng Wang, Alberto Rico-Alvariño | Summary: The integration of non-terrestrial networks (NTN) into 5G new radio (NR) has opened up the possibility of developing a new positioning infrastructure using NR signals from Low-Earth Orbit (LEO) satellites. LEO-based cellular positioning […]


Continue.. LEO-based Positioning: Foundations, Signal Design, and Receiver Enhancements for 6G NTN

EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Guoqing Liu, Wei Gao, Thomas H. Li, | Summary: The acquisition of inductive bias through point-level contrastive learning holds paramount significance in point cloud pre-training. However, the square growth in computational requirements with the scale of the point cloud poses a substantial impediment to the […]


Continue.. EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding

Miniature magneto-oscillatory wireless sensor for magnetic field and gradient measurements

Kavli Affiliate: Felix Fischer | First 5 Authors: Felix Fischer, Moonkwang Jeong, Tian Qiu, , | Summary: Magneto-oscillatory devices have been recently developed as very potent wireless miniature position trackers and sensors with an exceptional accuracy and sensing distance for surgical and robotic applications. However, it is still unclear to which extend a mechanically resonating […]


Continue.. Miniature magneto-oscillatory wireless sensor for magnetic field and gradient measurements

Magneto-oscillatory localization for small-scale robots

Kavli Affiliate: Felix Fischer | First 5 Authors: Felix Fischer, Christian Gletter, Moonkwang Jeong, Tian Qiu, | Summary: Magnetism is widely used for the wireless localization and actuation of robots and devices for medical procedures. However, current static magnetic localization methods suffer from large required magnets and are limited to only five degrees of freedom […]


Continue.. Magneto-oscillatory localization for small-scale robots