Solid electrolytes (SEs) are central to next-generation metal batteries, yet their discovery remains constrained by fragmented data, limited transferability of simulations, and slow experimental iteration. Unlike catalysis, where surface reactivity dominates, SEs require simultaneous optimization of bulk ion transport,...
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng et al.· Advanced Materials· 0 citations
The 2D Crystal Consortium Materials Innovation Platform (2DCC-MIP) is a NSF supported national user facility focused on advancing the synthesis of 2D materials, monolayers, surfaces, and interfaces. The need for the facility to organize and share data with users led to the development of an internal data management and...
R Richardella Anthony, Isaiah A. Moses, Konrad Hilse et al.· APL Machine Learning· 0 citations
Abstract The development of new drugs is a tedious, time-consuming, and expensive process for which the average costs are estimated to be up to around $2.5 billion. The first step in this long process is the design of the new drug, for which de novo drug design, assisted by artificial intelligence, has blossomed in rec...
Julien Baglio, Y. Haddad, Richard Polifka· Journal of Chemical Informat...· 0 citations
The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time inference and decision-making, intelligent dat...
Julia Gonski, Jenni Ott, Shiva Abbaszadeh et al.· PRX Intelligence· 0 citations
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A position paper arguing that closed source has failed as a protection, for science first. Large language models now decompile binaries into re-executable source; black-box queries extract parts of production models; distillation copies capabilities at industrial scale; and the largest 2026 trade-secret dispute in arti...
Matheus Hoffmann Fernandes Santos· Zenodo (CERN European Organi...· 1 citation
Abstract ADNOC has deployed an AI enabled Production System Optimization (AiPSO) solution to digitally transform production operations and maximize asset performance across thousands of wells, multiple production networks, and reservoirs. AiPSO addresses legacy surveillance approaches, delayed diagnostics, and continuo...
R. Mohan, S. Al Muhairi, M. Al Hashemi et al.· SPE Annual Technical Confere...· 0 citations
Artikel ini membahas Perkembangan Artificial Intelligence generatif pada 2024-2026 mengubah lanskap pembelajaran bahasa, termasuk Bahasa Arab. Penelitian ini bertujuan menganalisis peluang, tantangan, dan inovasi pedagogis integrasi AI dalam pembelajaran Bahasa Arab. Metode yang digunakan adalah studi literatur sistema...
Teuku Muhammad Fauzan Robbani· Al-I'roby.· 0 citations
This study examines how Artificial Intelligence (AI) use affects students' critical thinking skills in learning. The study uses a quantitative, explanatory research design. The study population consisted of students in the Economics Education Study Program who used AI-based applications for learning. The study collecte...
Miftah Rakhmadian, Haris Amrullah, A. Pratama et al.· Educational Journal of Learn...· 0 citations
对 Andrej Zwitter《The embodied ethics alignment problem of AI》(Discover Artificial Intelligence, 2026) 的一篇公开回应。 原文把「对齐」分成两档:强对齐(机器真的是道德的)与弱对齐(机器只能做得像),并以「道德能动性依赖人的生命形式(具身、情感、脆弱性、社会嵌入、目的性、良知)」为由,判定强对齐是范畴错误。 本文不反对「机器现在...
Mehmonxona xo'jaligida xizmat ko'rsatish sifati korxonaning bozordagi raqobatbardoshligini ta'minlovchi asosiy omildir. Ushbu maqolada mehmondo'stlik industriyasida xizmat sifatini boshqarishning zamonaviy usullari, standartlari, SERQUAL va TQM modellari, xodimlarni motivatsiya qilish hamda raqamli texnologiyalar (PMS,...
Nazokat Jumaniyozova· Zenodo (CERN European Organi...· 0 citations
Background: Innovation in artificial intelligence (AI) in sports medicine integrates algorithms, sensors, computer vision, predictive analytics and decision-support systems to improve athlete health, performance, safety and competitive fairness. Objective: To reconstruct the historical development of AI and emerging te...
Antonio Eugenio Rivera Cisneros, Jimena Prado Peláez, Gloria Vargas Sánchez et al.· Ibero Ciencias - Revista Cie...· 0 citations
On October 13–14, 2026, industrial disclosures revealed that NTT Data Group and U.S. artificial intelligence vendor Anthropic entered final-stage negotiations to construct a dedicated AI data center in southern Osaka Prefecture, Japan, featuring a construction cost of up to 1 trillion yen (~$6.3 billion, escalating to...
Yoko Hasebe· Zenodo (CERN European Organi...· 0 citations
