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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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 […]


Continue.. Modular DNA origami-based electrochemical detection of DNA and proteins

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 […]


Continue.. Modular DNA origami-based electrochemical detection of DNA and proteins

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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