With the flourish of the space sensing technology, various space information systems are playing an irreplaceable role in space exploration. Delay-Tolerant Networking (DTN) has been proposed to cope with the harsh transmission conditions and it provides a store-forward mechanism to push scientific ...
A Deep Space Network is a sophisticated system of antennas, including a 70-m antenna and multiple 34-m antennas located in different sites around the world, used by NASA to track and communicate with spacecraft in deep space. The network is crucial for receiving data from distant missions and...
The Deep Space Network (DSN) is a part of that great network, sending home images of the first moonwalk, playing a critical role in the rescue of the Apollo 13 astronauts, and returning the first-ever images of another world. In 1963, the network's first year of operation, DSN communica...
Capturing precious data like that involves precise planning and highly reliable technology. Data from Voyager 2 is captured on Earth by theDeep Space Network, consisting of three antenna sites positioned 120 degrees apart, around the world, so that NASA can have a line of sight with almost any ...
While NASA's Deep Space Network, an aging array of giant antennas used to communicate with spacecraft beyond low Earth orbit, is handling its current workload, upgrades are sorely needed before many more new missions are launched, according a U.S. Govern
As a core support system, China's deep space TT&C (tracking telemetry and command) network plays an irreplaceable role in deep space exploration. Driven by China's Lunar Exploration Project, the deep space TT&C network, with complete functions, advanced performance, and global layout, has been ...
Fully connected network is a conventional neural network (NN). Typically, space and time variables associated with the problem domain are provided as input to the network. In this example, it is depicted as (x, t), whereas x, t are spatial and temporal variables respectively, to represent ...
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang ICLR 2019 Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs Deepak Nathani, Jatin Chauhan, Charu Sharma, Manohar Kaul ACL 2019 Probabilistic...
MS-Nets: "Matching-space Stereo Networks for Cross-domain Generalization", Cai et al., 3DV, 2020. [Paper] [Code] [Bibtex] [Google Scholar] ARStereo: "Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching", Cheng et al., NeurIPS, 2022. [Paper] [Code...
“随着实时多模态大模型、长上下文、推理大模型等技术的逐渐成熟,科锐国际将抓住Agents的最佳进入时机,于2025年将推出PC端寻访自动化Agent和关系图谱预测的CRN(CareerInternational Relation Network)等。”刘之表示。