Abstract This paper presents the Strategy and Crisis Monitor, an agentic artificial-intelligence (AI) enabled executive dashboard conceived, built, and deployed end-to-end in days to track regional events, incidents, transport disruption, and energy-market signals during a live crisis. The work pursues three objectives...
Abhijith Suboyin, Omar Baobaid, T. Seth et al.· Abu Dhabi International Petr...· 0 citations
Abstract Waterflood optimization solutions commonly demonstrate value at pilot scale but often fail to transition into sustainable, full-field deployment, particularly in large, mature assets where data quality challenges, fragmented insights, computational limits, and operational constraints dominate. Strategic applic...
B. Akbar, W. Al-Fadli, K. Al-Rasheedi et al.· Abu Dhabi International Petr...· 0 citations
Abstract Managing mature oil and gas assets requires continuous production optimization across large well inventories characterized by multiple reservoirs, diverse completion intervals, varied artificial lift configurations, and dynamic operating conditions. Identifying underperforming wells and prioritizing high- impa...
Debasish Baishya, T. Ashwini Kumar, Rahul Kumar et al.· Abu Dhabi International Petr...· 0 citations
Abstract Well construction projects face data and decision challenges across two distinct phases: pre-well planning and tender preparation, where manual offset analysis limits coverage and introduces bias; and active drilling execution, where non-productive time (NPT) events demand rapid, data-backed decisions. This pa...
P. Sesboüé, D. F. Patino, O. Bustos Angel et al.· Abu Dhabi International Petr...· 0 citations
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Abstract Personal advice from AI fails in documented ways. It tells people what they want to hear, it loses track of what matters in long conversations, and it changes when only the person’s identity changes. These failures are mostly measured one at a time, and mostly in English. Tests of knowledge and emotional intel...
Ishan Shivanand, Anjali Samani· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence has entered school life more quickly than institutions have developed shared expectations for its use. Independent schools now face connected questions about what students should learn, which intellectual work they must undertake themselves, how teachers should evaluate their understanding, and...
CONSYLIUM· Zenodo (CERN European Organi...· 0 citations
BACKGROUND: Artificial intelligence (AI) chatbots are increasingly incorporated into orthopedic education, yet their ability to handle complex, clinically oriented questions remains unclear. This study evaluates the accuracy, response time, and citation reliability of contemporary AI chatbots when answering adult recon...
Tarishi Parmar, Akshay Khanna, Jonathan Berg et al.· PubMed· 0 citations
In this article, we propose two kinds of neural networks inspired by power method and inverse power method to solve linear eigenvalue problems. These neural networks share similar ideas with traditional methods, in which the differential operator is realized by automatic differentiation. The eigenfunction of the eigenv...
Qihong Yang, Yangtao Deng, Yu Yang et al.· 0 citations
Generative Flow Networks (GFlowNets) are trained to sample objects from compositional spaces with probability proportional to a reward function, but ineffective exploration can cause learned samplers to concentrate on a few high-reward regions. An intuitive remedy is to train multiple GFlowNets independently in paralle...
Pedro Dall'Antonia, Juan Belieni, Ana Carolina Erthal et al.· 0 citations
LLM agents have been increasingly adopted for security-focused code review, but existing benchmarks mostly derive the reviewed changes from their later fixes instead of the real-world bug-introducing commits. In this paper, we present SecPRBench, the first comprehensive benchmark for evaluating agentic security review...
Yihan Yang, Chenyuan Yang, Zijie Zhao et al.· 0 citations
Software agents are being trained to exceed human engineers; we argue that capability alone does not produce better software engineering. We define superintelligent software engineering as the discipline of building and evolving software with agents whose capability exceeds that of human engineers, in which governance...
GUI grounding maps natural-language instructions to click locations and is essential for reliable GUI agents. The task remains difficult on high-resolution, densely populated interfaces because a vision-language model (VLM) may recognize a requested control without locating it precisely enough for interaction. Most exi...
Zichuan Fu, Shirong Wang, Wenlin Zhang et al.· 0 citations
