Highly sensitive measurement of a MHz RF electric field with a Rydberg atom sensor

Kavli Affiliate: Wei Gao | First 5 Authors: Bang Liu, Li-Hua Zhang, Zong-Kai Liu, Zheng-Yuan Zhang, Zhi-Han Zhu | Summary: Rydberg atoms have great potential in electric field measurement and have an advantage with a large frequency bandwidth from the kHz to the THz scale. However, the sensitivity for measuring a weak MHz electric field […]


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Highly sensitive measurement of a megahertz rf electric field with a Rydberg-atom sensor

Kavli Affiliate: Wei Gao | First 5 Authors: Bang Liu, Li-Hua Zhang, Zong-Kai Liu, Zheng-Yuan Zhang, Zhi-Han Zhu | Summary: Rydberg atoms have great potential in electric field measurement and have an advantage with a large frequency bandwidth from the kHz to the THz scale. However, the sensitivity for measuring a weak MHz electric field […]


Continue.. Highly sensitive measurement of a megahertz rf electric field with a Rydberg-atom sensor

Receding Horizon Inverse Reinforcement Learning

Kavli Affiliate: Wei Gao | First 5 Authors: Yiqing Xu, Wei Gao, David Hsu, , | Summary: Inverse reinforcement learning (IRL) seeks to infer a cost function that explains the underlying goals and preferences of expert demonstrations. This paper presents receding horizon inverse reinforcement learning (RHIRL), a new IRL algorithm for high-dimensional, noisy, continuous systems […]


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Model Predictive Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs

Kavli Affiliate: Morteza Gharib | First 5 Authors: Julius Wanner, Eric Sihite, Alireza Ramezani, Morteza Gharib, | Summary: The feasibility of performing airborne and ground manipulation, perception, and reconnaissance using wheeled rovers, unmanned aerial vehicles, CubeSats, SmallSats and more have been evaluated before. Among all of these solutions, balloon-based systems possess merits that make them […]


Continue.. Model Predictive Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs

Model Predictive Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs

Kavli Affiliate: Morteza Gharib | First 5 Authors: Julius Wanner, Eric Sihite, Alireza Ramezani, Morteza Gharib, | Summary: The feasibility of performing airborne and ground manipulation, perception, and reconnaissance using wheeled rovers, unmanned aerial vehicles, CubeSats, SmallSats and more have been evaluated before. Among all of these solutions, balloon-based systems possess merits that make them […]


Continue.. Model Predictive Loitering and Trajectory Tracking of Suspended Payloads in Cable-Driven Balloons Using UGVs

Large-Scale Crosstalk-Corrected Thermo-Optic Phase Shifter Arrays in Silicon Photonics

Kavli Affiliate: Ali Hajimiri | First 5 Authors: Volkan Gurses, Reza Fatemi, Aroutin Khachaturian, Ali Hajimiri, | Summary: We introduce a thermo-optic phase shifter (TOPS) array architecture with independent phase control of each phase shifter for large-scale and high-density photonic integrated circuits with two different control schemes: pulse amplitude modulation (PAM) and pulse width modulation […]


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Transcranial photoacoustic computed tomography of human brain function

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Yang Zhang, Shuai Na, Karteekeya Sastry, Jonathan J. Russin, Peng Hu | Summary: Herein we report the first in-human transcranial imaging of brain function using photoacoustic computed tomography. Functional responses to benchmark motor tasks were imaged on both the skull-less and the skull-intact hemispheres of a […]


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Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang | Summary: Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU […]


Continue.. Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang | Summary: Deep learning (DL) shows its prosperity in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU […]


Continue.. Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

A Rate Control Algorithm for Video-based Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Fangyu Shen, Wei Gao, , , | Summary: Video-based point cloud compression (V-PCC) has been an emerging compression technology that projects the 3D point cloud into a 2D plane and uses high efficiency video coding (HEVC) to encode the projected 2D videos (geometry video and color video). […]


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