AstroInformatics: Recommendations for Global Cooperation

Kavli Affiliate: Rana Adhikari | First 5 Authors: Ashish Mahabal, Pranav Sharma, Rana Adhikari, Mark Allen, Stefano Andreon | Summary: Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Development held on 6-7 July 2023. The deliberations encompassed a wide array of topics, including […]


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Optical-parametric-amplification-enhanced background-free spectroscopy

Kavli Affiliate: Alireza Marandi | First 5 Authors: Mingchen Liu, Robert M. Gray, Arkadev Roy, Luis Ledezma, Alireza Marandi | Summary: Traditional absorption spectroscopy has fundamental difficulty in resolving small absorbance from strong background due to the instability of laser sources. Existing background-free methods in broadband vibrational spectroscopy help to alleviate this problem but face […]


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Experimental Upper Bounds for Resonance-Enhanced Entangled Two-Photon Absorption Cross Section of Indocyanine Green

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Manni He, Bryce P. Hickam, Nathan Harper, Scott K. Cushing, | Summary: Resonant intermediate states have been proposed to increase the efficiency of entangled two-photon absorption (ETPA). Although resonance-enhanced ETPA (r-ETPA) has been demonstrated in atomic systems using bright squeezed vacuum, it has not been studied […]


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Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Wei Gao, , , | Summary: With the wide adoption of AI applications, there is a pressing need of enabling real-time neural network (NN) inference on small embedded devices, but deploying NNs and achieving high performance of NN inference on these small devices is challenging […]


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ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Boyuan Yang, Wei Gao, , | Summary: On-device training is essential for neural networks (NNs) to continuously adapt to new online data, but can be time-consuming due to the device’s limited computing power. To speed up on-device training, existing schemes select trainable NN portion offline […]


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Quantum entanglement between optical and microwave photonic qubits

Kavli Affiliate: Oskar Painter | First 5 Authors: Srujan Meesala, David Lake, Steven Wood, Piero Chiappina, Changchun Zhong | Summary: Entanglement is an extraordinary feature of quantum mechanics. Sources of entangled optical photons were essential to test the foundations of quantum physics through violations of Bell’s inequalities. More recently, entangled many-body states have been realized […]


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Vacuum Beam Guide for Large-Scale Quantum Networks

Kavli Affiliate: Rana X. Adhikari | First 5 Authors: Yuexun Huang, Francisco Salces–Carcoba, Rana X Adhikari, Amir H. Safavi-Naeini, Liang Jiang | Summary: The vacuum beam guide (VBG) presents a completely different solution for quantum channels to overcome the limitations of existing fiber and satellite technologies for long-distance quantum communication. With an array of aligned […]


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Modality Plug-and-Play: Elastic Modality Adaptation in Multimodal LLMs for Embodied AI

Kavli Affiliate: Wei Gao | First 5 Authors: Kai Huang, Boyuan Yang, Wei Gao, , | Summary: Large Language Models (LLMs) are capable of reasoning over diverse input data modalities through pre-trained encoders. However, the growing diversity of input data modalities prevents incorporating all modalities into LLMs, especially when LLMs are deployed on resource-constrained edge […]


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Modular DNA origami-based electrochemical detection of DNA and proteins

Kavli Affiliate: Paul W. K. Rothemund | First 5 Authors: Byoung-jin Jeon, Matteo M. Guareschi, Jaimie M. Stewart, Emily Wu, Ashwin Gopinath | Summary: The diversity and heterogeneity of biomarkers has made the development of general methods for single-step quantification of analytes difficult. For individual biomarkers, electrochemical methods that detect a conformational change in an […]


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Adaptive Annotation Distribution for Weakly Supervised Point Cloud Semantic Segmentation

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li | Summary: Weakly supervised point cloud semantic segmentation has attracted a lot of attention due to its ability to alleviate the heavy reliance on fine-grained annotations of point clouds. However, in practice, sparse annotation usually exhibits a […]


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