Kavli Affiliate: Feng Wang | First 5 Authors: Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu | Summary: We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing softmax […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: With the development of artificial intelligence, large-scale models have become increasingly intelligent. However, numerous studies indicate that hallucinations within these large models are a bottleneck hindering the development of AI research. In the pursuit of achieving strong artificial intelligence, a […]
Kavli Affiliate: Feng Wang | First 5 Authors: Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu | Summary: In the realm of artificial intelligence, the emergence of foundation models, backed by high computing capabilities and extensive data, has been revolutionary. Segment Anything Model (SAM), built on the Vision Transformer (ViT) model with millions […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Kaiye Shi, Xiang Zhang, Wei Zhang, , | Summary: Recently, anomalous Floquet topological phases without static counterparts have been observed in different systems, where periodically driven models are realized to support a winding number of 1 and a pair of edge modes in each quasienergy gap. Here, […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ilyes Batatia, Philipp Benner, Yuan Chiang, Alin M. Elena, Dávid P. Kovács | Summary: Machine-learned force fields have transformed the atomistic modelling of materials by enabling simulations of ab initio quality on unprecedented time and length scales. However, they are currently limited by: (i) the significant […]
Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ilyes Batatia, Philipp Benner, Yuan Chiang, Alin M. Elena, Dávid P. Kovács | Summary: Machine-learned force fields have transformed the atomistic modelling of materials by enabling simulations of ab initio quality on unprecedented time and length scales. However, they are currently limited by: (i) the significant […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Long B. Nguyen, Noah Goss, Karthik Siva, Yosep Kim, Ed Younis | Summary: High-dimensional quantum information processing has emerged as a promising avenue to transcend hardware limitations and advance the frontiers of quantum technologies. Harnessing the untapped potential of the so-called qudits necessitates the development of quantum […]