Next-gen indoor navigation: VLP/INS integration delivers robust localization in dynamic environments
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jun-2025 20:10 ET (23-Jun-2025 00:10 GMT/UTC)
A pioneering study has unveiled a cutting-edge solution to the challenges of indoor navigation with the introduction of a tightly coupled Visible Light Positioning (VLP) and Inertial Navigation System (INS).
Generative AI tools like ChatGPT present extraordinary potential in promoting better language learning and teaching practice, such as timely feedback, ease of use, personalized support, simulations of the learning environment, and individualized recommendations on learning materials. However, a team of researchers in Hong Kong and Macao found that 45.9% of ChatGPT-generated feedback was rejected by second-language students, higher rejection rates for content-focused feedback (58.7%) than form-focused (41.3%).
Semantic communication, an emerging technology, has garnered considerable attention for its potential to enhance transmission efficiency. This approach emphasizes the precise transmission of semantic information rather than individual symbols or bits, facilitating purposeful information exchange for efficient transmission. Researchers have proposed a novel semantic communication transmission system using multimode fiber, achieving high spectral efficiency and demonstrating its effectiveness in sentiment analysis applications.
Researchers develop a probabilistic framework using percolation theory to assess cascading cyber risks in drone swarms, enabling better insurance pricing and risk management for emerging drone delivery systems.
Quantum digital signatures (QDS) offer an information-theoretically secure solution for ensuring data integrity, authenticity, and non-repudiation. To address the challenges faced by QDS in its practical implementation, including high costs, large sizes, and low signature rates, Chinese scientists have proposed and validated a chip-integrated quantum signature network. Experimental results surpass all current state-of-the-art QDS experiments. This research paves the way for the large-scale deployment of quantum networks.
Zuchongzhi-3, a superconducting quantum computing prototype with 105 qubits and 182 couplers, has made significant advancements in random quantum circuit sampling. This prototype was successfully developed by a research team from the University of Science and Technology of China (USTC), including Pan Jianwei, Zhu Xiaobo, and Peng Chengzhi, in collaboration with Shanghai Research Center for Quantum Sciences, Henan Key Laboratory of Quantum Information and Cryptography, China National Institute of Metrology, Jinan Institute of Quantum Technology, School of Microelectronics at Xidian University, and the Institute of Theoretical Physics under the Chinese Academy of Sciences. This prototype operates at a speed that is 1015 times faster than the fastest supercomputer currently available and one million times faster than the latest results published by Google. This achievement marks a milestone in enhancing the performance of quantum computation, following the success of Zuchongzhi-2. The research finding has been published as the cover article in the international academic journal Physical Review Letters.
Researchers from the University of Science and Technology of China (USTC) led by Prof. ZHANG Douguo have unveiled a planar optical device that significantly enhances the capabilities of dark-field microscopy, achieving super-resolution imaging beyond the diffraction limit. Their research has been published in the Proceedings of the National Academy of Sciences (PNAS).