Sub-Millimeter Variability in the Envelope & Warped Protostellar Disk of the Class 0 Protostar HOPS 358

Kavli Affiliate: Gregory Herczeg | First 5 Authors: Patrick D. Sheehan, Doug Johnstone, Carlos Contreras Peña, Seonjae Lee, Gregory Herczeg | Summary: The JCMT Transient Survey recently discovered that the Class 0 protostar HOPS 358 decreased in 350 GHz continuum brightness by $sim25$% over the course of four years before brightening again for the next […]


Continue.. Sub-Millimeter Variability in the Envelope & Warped Protostellar Disk of the Class 0 Protostar HOPS 358

Ultra-high-energy $γ$-ray emission associated with the tail of a bow-shock pulsar wind nebula

Kavli Affiliate: Li Xin Li | First 5 Authors: Zhen Cao, F. Aharonian, Y. X. Bai, Y. W. Bao, D. Bastieri | Summary: In this study, we present a comprehensive analysis of an unidentified point-like ultra-high-energy (UHE) $gamma$-ray source, designated as 1LHAASO J1740+0948u, situated in the vicinity of the middle-aged pulsar PSR J1740+1000. The detection […]


Continue.. Ultra-high-energy $γ$-ray emission associated with the tail of a bow-shock pulsar wind nebula

Ultra-high-energy $γ$-ray emission associated with the tail of a bow-shock pulsar wind nebula

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhen Cao, F. Aharonian, Y. X. Bai, Y. W. Bao, D. Bastieri | Summary: In this study, we present a comprehensive analysis of an unidentified point-like ultra-high-energy (UHE) $gamma$-ray source, designated as 1LHAASO J1740+0948u, situated in the vicinity of the middle-aged pulsar PSR J1740+1000. The detection significance […]


Continue.. Ultra-high-energy $γ$-ray emission associated with the tail of a bow-shock pulsar wind nebula

Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

Kavli Affiliate: David Gross | First 5 Authors: Fabian Henze, Viet Tran, Birte Ostermann, Richard Kueng, Timo de Wolff | Summary: Quantum computers can solve semidefinite programs (SDPs) using resources that scale better than state-of-the-art classical methods as a function of the problem dimension. At the same time, the known quantum algorithms scale very unfavorably […]


Continue.. Solving quadratic binary optimization problems using quantum SDP methods: Non-asymptotic running time analysis

Detecting Long QT Syndrome and First-Degree Atrioventricular Block using Single-Lead AI-ECG: A Multi-Center Real-World Study

Kavli Affiliate: Cheng Peng | First 5 Authors: Sumei Fan, Deyun Zhang, Yue Wang, Shijia Geng, Kun Lu | Summary: Home-based single-lead AI-ECG devices have enabled continuous, real-world cardiac monitoring. However, the accuracy of parameter calculations from single-lead AI-ECG algorithm remains to be fully validated, which is critical for conditions such as Long QT Syndrome […]


Continue.. Detecting Long QT Syndrome and First-Degree Atrioventricular Block using Single-Lead AI-ECG: A Multi-Center Real-World Study

Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments

Kavli Affiliate: Cheng Peng | First 5 Authors: Sumei Fan, Deyun Zhang, Yue Wang, Shijia Geng, Kun Lu | Summary: In recent years, wearable devices have revolutionized cardiac monitoring by enabling continuous, non-invasive ECG recording in real-world settings. Despite these advances, the accuracy of ECG parameter calculations (PR interval, QRS interval, QT interval, etc.) from […]


Continue.. Accuracy of Wearable ECG Parameter Calculation Method for Long QT and First-Degree A-V Block Detection: A Multi-Center Real-World Study with External Validations Compared to Standard ECG Machines and Cardiologist Assessments

From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants

Kavli Affiliate: Dan Luo | First 5 Authors: Manisha Mukherjee, Sungchul Kim, Xiang Chen, Dan Luo, Tong Yu | Summary: The Adobe Experience Platform AI Assistant is a conversational tool that enables organizations to interact seamlessly with proprietary enterprise data through a chatbot. However, due to access restrictions, Large Language Models (LLMs) cannot retrieve these […]


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External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

Kavli Affiliate: Xian Chen | First 5 Authors: Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo | Summary: Ads recommendation is a prominent service of online advertising systems and has been actively studied. Recent studies indicate that scaling-up and advanced design of the recommendation model can bring significant performance improvement. However, with a […]


Continue.. External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

Kavli Affiliate: Xian Chen | First 5 Authors: Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo | Summary: Ads recommendation is a prominent service of online advertising systems and has been actively studied. Recent studies indicate that scaling-up and advanced design of the recommendation model can bring significant performance improvement. However, with a […]


Continue.. External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

Kavli Affiliate: Xian Chen | First 5 Authors: Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo | Summary: Ads recommendation is a prominent service of online advertising systems and has been actively studied. Recent studies indicate that scaling-up and advanced design of the recommendation model can bring significant performance improvement. However, with a […]


Continue.. External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation