Abstract (English) All-solid-state lithium secondary batteries (ASSBs) represent the foremost architecture for reconciling ultra-high energy density with non-negotiable intrinsic safety. However, severe bulk ionic transport bottlenecks within solid electrolytes and dynamic chemo-mechanical interface degradation (contac...
Yoko Hasebe· Zenodo (CERN European Organi...· 0 citations
Abstract (English) All-solid-state lithium secondary batteries (ASSBs) represent the foremost architecture for reconciling ultra-high energy density with non-negotiable intrinsic safety. However, severe bulk ionic transport bottlenecks within solid electrolytes and dynamic chemo-mechanical interface degradation (contac...
Yoko Hasebe· Zenodo (CERN European Organi...· 0 citations
Customer churn prediction in telecommunications has traditionally treated subscribers as independent entities, ignoring the relational structures—family plans, corporate accounts, and social referral networks—that govern collective departure behaviour. This article proposes a Graph Neural Network (GNN)–based framework...
Utahile D. Ater1*, Kufre M. Udofia2, Akaninyene B. Obot3, Mary L. Udoh4· Zenodo (CERN European Organi...· 0 citations
Customer churn prediction in telecommunications has traditionally treated subscribers as independent entities, ignoring the relational structures—family plans, corporate accounts, and social referral networks—that govern collective departure behaviour. This article proposes a Graph Neural Network (GNN)–based framework...
Utahile D. Ater1*, Kufre M. Udofia2, Akaninyene B. Obot3, Mary L. Udoh4· Zenodo (CERN European Organi...· 0 citations
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Bearings are critical components in rotating machinery, and their condition directly determines the operational efficiency and safety of industrial equipment. Traditional bearing fault diagnosis methods rely heavily on manual feature extraction, making it difficult to deal with complex industrial scenarios such as stro...
Xiaoning HU, Yan LIANG· DOAJ (DOAJ: Directory of Ope...· 0 citations
Polymer science is undergoing a profound paradigm shift from labor-intensive, empirical trial-and-error experimentation to AI-guided, data-driven, and predictive material design. Owing to their multiscale structural diversity (spanning atomic connectivity, chain-packing behavior, and macroscopic morphology), polymer ma...
Haiyan GONG, Jingzhi Yang, Annan Kong et al.· DOAJ (DOAJ: Directory of Ope...· 0 citations
Purpose: The rapid expansion of research in the field of Knowledge Graphs (KGs) over the past decade has positioned The field as a dynamic area at the intersection of computer science, artificial intelligence. Following Google’s introduction of the KG in 2012, scholars and industry stakeholders have increasingly explor...
Ameneh Shenavar, Saeed Rezaei Sharifabadi, Molouksadat Hosseini Beheshti et al.· DOAJ (DOAJ: Directory of Ope...· 0 citations
The study finds that the surface roughness can be estimated with satisfactory accuracy by utilizing the proposed method under constant cutting conditions.
Noppawat Polpuch, S. Tangjitsitcharoen· Advances in Science and Tech...· 0 citations
Cloud robotics is an innovative field that leverages cloud technologies-including cloud computing (CC), cloud storage, deep learning, big data, and the Internet of Things to augment the capabilities of robotics. This integration facilitates the execution of robotic functions through a converged infrastructure and share...
Shahnawaz Ahmad, Shahadat Hussain, Khalid Anwar et al.· International Conference on...· 2 citations
Policy drift takes shape through a nonlinear differential equation - framed within the policy state space - with support from Lyapunov stability concepts alongside bifurcation methods alongside bifurcation methods, and the Intent Drift Rate appears: a concrete number per dialogue turn built as the time-based change in...
Harsh Verma· International Journal of Sci...· 1 citation
Autonomous multi-agent artificial intelligence (AI) systems have emerged as a rapidly evolving field that revolutionizes the way autonomous systems can make decisions together, collaborate on tasks, and learn, thereby opening new paradigms for distributed decision-making, task execution, and adaptive learning. The comp...
Harsh Verma· International Journal of Sci...· 0 citations
The Dark Forest hypothesis is usually presented as a general consequence of uncertainty, technological asymmetry and catastrophic vulnerability. This paper asks a narrower question: under which combinations of beliefs, capabilities, signalling conditions and network incentives does a Dark Forest actually emerge? A Dark...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.
Microsoft Research Blog· microsoft.comJul 13, 2026
Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduJul 6, 2026
PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.
