SIGDATA is an open-source hardware platform developed for the continuous monitoring of agroclimatic variables and synchronized image acquisition for the study of Black Sigatoka (Pseudocercospora fijiensis) in banana plantations. The system was designed as a low-cost, scalable solution for precision agriculture, enabling autonomous operation in rural areas with limited access to electrical infrastructure and Internet connectivity. This repository provides all the resources required to manufacture, assemble, program, and reproduce the platform, including electronic design files developed in Altium Designer®, schematic diagrams, PCB layouts, Gerber files, Bill of Materials (BOM), firmware, desktop software, and technical documentation. SIGDATA integrates two independent subsystems: one for agroclimatic data acquisition and another for periodic image capture using an ESP32-CAM module. All data are stored locally on a microSD card, while the platform incorporates an autonomous power system based on photovoltaic solar panels, a mini UPS, and Deep Sleep power management to reduce energy consumption. This repository is intended to promote scientific reproducibility and facilitate the reuse and adaptation of the hardware for future applications in precision agriculture, environmental monitoring, the Internet of Things (IoT), and artificial intelligence for crop disease monitoring.
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
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
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al.· arXiv.org· 109 citations· ⚡19
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
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