Flexible optical touch sensor simultaneously pinpoints pressure strength and location
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Nov-2025 22:11 ET (22-Nov-2025 03:11 GMT/UTC)
This paper introduces a novel methodology for analysing and optimising the matching process between angel investors and startup companies by integrating artificial intelligence (AI) and game-theoretic models. Leveraging the natural language processing capabilities of AI engines such as Gemini and ChatGPT 4, we extract and analyse historical investment patterns to identify critical qualitative and quantitative criteria influencing investment decisions. These criteria are further refined through R programming simulations, optimising cutoff values using the Youden index to balance sensitivity and specificity in predicting successful matches. Our findings demonstrate the effectiveness of a hybrid framework that combines qualitative preferences with quantitative metrics, offering a comprehensive tool for enhancing strategic investment decisions. This study represents the first attempt to apply AI technologies systematically to the investor-startup matching process, contributing practical insights for investors, entrepreneurs, and intermediaries in navigating the early-stage investment landscape. The proposed approach not only improves matching efficiency but also supports the creation of stronger, more aligned partnerships within the entrepreneurial ecosystem.
Imagine stepping into a 2,500-year-old tomb – without ever leaving your sofa. Using advanced digital technology, Swedish researchers have documented and visualized nearly 280 Etruscan chamber tombs in Italy. The result is a new digital portal that opens up this cultural heritage to scholars, students, and the public worldwide.
Radiative cooling is a passive thermal management strategy that leverages the natural ability of materials to dissipate heat through infrared radiation. It has significant implications for energy efficiency, climate adaptation, and sustainable technology development, with applications in personal thermal management, building temperature regulation, and aerospace engineering. However, radiative cooling performance is susceptible to environmental aging and special environmental conditions, limiting its applicability in extreme environments. Herein, a critical review of extreme environmental radiative cooling is presented, focusing on enhancing environmental durability and cooling efficiency. This review first introduces the design principles of heat exchange channels, which are tailored based on the thermal flow equilibrium to optimize radiative cooling capacity in various extreme environments. Subsequently, recent advancements in radiative cooling materials and micro-nano structures that align with these principles are systematically discussed, with a focus on their implementation in terrestrial dwelling environments, terrestrial extreme environments, aeronautical environments, and space environments. Moreover, this review evaluates the cooling effects and anti-environmental abilities of extreme radiative cooling devices. Lastly, key challenges hindering the development of radiative cooling devices for extreme environmental applications are outlined, and potential strategies to overcome these limitations are proposed, aiming to prompt their future commercialization.
Researchers from Shenyang Jianzhu University have published a comprehensive review on the technological advances and practical applications of intelligent inspection robots for structural health monitoring. These robots—equipped with advanced sensors, autonomous navigation systems, and AI-based data analysis—are transforming the way we maintain bridges, tunnels, construction machinery, and other critical infrastructure. The review outlines key technologies, real-world applications, current challenges, and future development trends of these cutting-edge systems.
Each winter, red hind groupers gather under the full moon, grunting low-frequency calls to attract mates and defend territory. But a 12-year underwater audio archive – one of the most extensive ever for a reef fish – reveals those calls are changing. Courtship sounds are fading, aggressive grunts are surging, and spawning patterns are shifting – potential signs of deeper population changes. These underwater signals aren’t just fish talk – they’re vital clues, helping scientists track change simply by listening.
A team of researchers from the Soft Robotics for Human Cooperation and Rehabilitation Lab at the Italian Institute of Technology (IIT-Istituto Italiano di Tecnologia) in Genova has conceived and developed Frasky, a new robotic prototype able to navigate and perform operations autonomously within vineyards. Coordinated by IIT researcher Manuel G. Catalano, the project results from the collaboration with the partners involved in “JOiiNT LAB,” the joint lab aiming at creating a synergy between research and industry, thus comprising IIT and the industrial ecosystem in the Bergamo area, including Consorzio Intellimech, Confindustria Bergamo, the University of Bergamo, and Kilometro Rosso Innovation District. Frasky’s main goal is to address the challenges that the agricultural sector is facing nowadays, such as environmental sustainability and labor shortages, by combining robotics and artificial intelligence.