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 […]


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

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

Human precentral gyrus neurons link speech sequences from listening to speaking

Kavli Affiliate: Edward Chang | Authors: Duo Xu, Jason E Chung, Alexander B Silva, Quinn R Greicius, Sean L Metzger, Yizhen Zhang, Matthew K Leonard, Manish K Aghi, Shawn L Hervey-Jumper and Edward F Chang | Summary: Speech perception and production are interconnected processes, but the underlying neural mechanisms remain unclear. We investigated this relationship […]


Continue.. Human precentral gyrus neurons link speech sequences from listening to speaking

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

Kavli Affiliate: Jing Wang | First 5 Authors: Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Zhanjie Zhang | Summary: The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled diffusion transformer methods incur significant parameter and computational overheads and suffer from inefficient […]


Continue.. RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers

Kavli Affiliate: Jing Wang | First 5 Authors: Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Zhanjie Zhang | Summary: The Diffusion Transformer plays a pivotal role in advancing text-to-image and text-to-video generation, owing primarily to its inherent scalability. However, existing controlled diffusion transformer methods incur significant parameter and computational overheads and suffer from inefficient […]


Continue.. RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers