Kavli Affiliate: Ting Xu | First 5 Authors: Yanghao Su, Jie Zhang, Ting Xu, Tianwei Zhang, Weiming Zhang | Summary: Backdoor attacks pose a significant security vulnerability for deep neural networks (DNNs), enabling them to operate normally on clean inputs but manipulate predictions when specific trigger patterns occur. Currently, post-training backdoor detection approaches often operate […]
Kavli Affiliate: Ariel Amir | First 5 Authors: Cesar L. Pastrana, Luyi Qiu, John W. Hutchinson, Ariel Amir, Ulrich Gerland | Summary: Take a drinking straw and bend it from its ends. After sufficient bending, the tube buckles forming a kink, where the curvature is localized in a very small area. This instability, known generally […]
Kavli Affiliate: Ariel Amir | First 5 Authors: Cesar L. Pastrana, Luyi Qiu, John W. Hutchinson, Ariel Amir, Ulrich Gerland | Summary: Take a drinking straw and bend it from its ends. After sufficient bending, the tube buckles forming a kink, where the curvature is localized in a very small area. This instability, known generally […]
Kavli Affiliate: Feng Wang | First 5 Authors: Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas | Summary: We introduce a novel suite of state-of-the-art bilingual text embedding models that are designed to support English and another target language. These models are capable of processing lengthy text inputs with up to 8192 […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao | Summary: The ability of the foundation models heavily relies on large-scale, diverse, and high-quality pretraining data. In order to improve data quality, researchers and practitioners often have to manually curate datasets from difference sources and […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao | Summary: The ability of the foundation models heavily relies on large-scale, diverse, and high-quality pretraining data. In order to improve data quality, researchers and practitioners often have to manually curate datasets from difference sources and […]
Kavli Affiliate: Kerry Vahala | First 5 Authors: Yang He, Long Cheng, Heming Wang, Yu Zhang, Roy Meade | Summary: Optical frequency division based on bulk or fiber optics provides unprecedented spectral purity for microwave oscillators. To extend the applications of this approach, the big challenges are to develop miniaturized optical frequency division oscillators without […]
Kavli Affiliate: Andrei Faraon | First 5 Authors: Andrei Ruskuc, Chun-Ju Wu, Emanuel Green, Sophie L. N. Hermans, Joonhee Choi | Summary: Single photon emitters with internal spin are leading contenders for developing quantum repeater networks, enabling long-range entanglement distribution for transformational technologies in communications and sensing. However, scaling beyond current few-node networks will require […]
Kavli Affiliate: Andrei Faraon | First 5 Authors: Andrei Ruskuc, Andrei Ruskuc, , , | Summary: Quantum networks that distribute entanglement among remote nodes will unlock transformational technologies in quantum computing, communication, and sensing. However, state-of-the-art networks utilize only a single optically-addressed qubit per node; this constrains both the quantum communication bandwidth and memory resources, […]
Kavli Affiliate: Michael F. Crommie | First 5 Authors: Michael C. Daugherty, Peter H. Jacobse, Jingwei Jiang, Joaquim Jornet-Somoza, Reis Dorit | Summary: The integration of low-energy states into bottom-up engineered graphene nanoribbons (GNRs) is a robust strategy for realizing materials with tailored electronic band structure for nanoelectronics. Low-energy zero-modes (ZMs) can be introduced into […]