Oct 2026· Optics & Laser Technology· 39 references
Advanced Antenna and Metasurface Technologies
Abstract
Conformal electromagnetic structures play an important role in modern aerospace and communication systems by combining spatial filtering capability with aerodynamic compatibility. However, transferring planar frequency-selective surfaces (FSSs) onto complex curved profiles can induce resonant-frequency drift and geometric distortion, creating challenges for both electromagnetic co-design and precision fabrication. Here, we introduce a closed-loop framework that seamlessly integrates artificial intelligence-driven inverse design with an automated robotic spraying process. By employing a multi-objective particle swarm optimization (MOPSO) algorithm, we achieve the global optimal geometric matching of FSS elements within a multi-dimensional parameter space, effectively resolving the inherent conflict between in-band high transmission and out-of-band rejection. The optimized designs are rapidly translated into physical prototypes using a high-precision, non-contact multi-degree-of-freedom robotic spraying system. Free-space measurements demonstrate that our fabricated X-band conformal radome exhibits exceptional angular stability and a transmittance exceeding 0.9 up to a 26° scanning angle. This fully automated “design-to-fabrication” paradigm paves a scalable and cost-effective pathway for the next generation of multifunctional 3D meta -devices and stealth radomes.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9