LightHouse: A Survey of AGI Hallucination

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 […]


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ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation

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 […]


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Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

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 […]


Continue.. Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

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 […]


Continue.. Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

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 […]


Continue.. Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

Floquet topological phases with large winding number

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, […]


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A foundation model for atomistic materials chemistry

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 […]


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A foundation model for atomistic materials chemistry

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 […]


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Empowering high-dimensional quantum computing by traversing the dual bosonic ladder

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 […]


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QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition

Kavli Affiliate: Feng Wang | First 5 Authors: Youzhe Song, Feng Wang, , , | Summary: The quality of a face crop in an image is decided by many factors such as camera resolution, distance, and illumination condition. This makes the discrimination of face images with different qualities a challenging problem in realistic applications. However, […]


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