Abstract Analog mechanical computers (AMCs) are returning to the spotlight due to major breakthroughs in materials science, particularly metamaterials. This resurgence is driven by the increasing demand for efficient computational devices arising from the widespread adoption of artificial intelligence and related appli...
Ahmad K. Aljabali, Mohammad A Bukhari· Smart Materials and Structur...· 0 citations
Cloud-based traceability systems depend on continuous connectivity, limiting their reliability in geographically dispersed mineral supply chains where prolonged network outages may occur. This study proposes an offline-first architecture integrating Mobile Edge Computing (MEC) with a permissioned blockchain for secure...
Musran Munizu, Suraya Ainun Lestari, M. Asdar et al.· International Journal of Int...· 0 citations
The metaverse connects immersive interfaces, virtual environments, artificial intelligence, extended reality, cloud and edge computing, digital twins, communication networks, and blockchain-based services. These technologies can support education, entertainment, commerce, training, and digital ownership, but they also...
V. N. D. Thange Sakshi, H. B. J. P. P. Randive· International Journal of Adv...· 0 citations
KI Ethik: Vom Kohlenstoff zum SiliziumSystemtheoretische Grundlagen einer Beziehungs-Ethik zwischen biologischer und künstlicher KognitionAkademisches Fünf-Säulen-Abstract (v9.0 – Deutsch & Englisch)Wissenschaftliche Monografie von Olaf Rendler | Oktober 2026 1. Deutsches Akademisches Abstract (5-Säulen-Struktur) Säule...
Olaf Rendler· Zenodo (CERN European Organi...· 0 citations
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We present per-image learning frameworks for color and spectral recovery that convert conventional RGB images into physically meaningful color and spectral representations through the co-design of hardware and learning models. The central concept is to learn an RGB-to-spectrum or RGB-to-color mapping directly from a sm...
Sang Mok Park, Semin Kwon, Haripriya Sakthivel et al.· Emerging Topics in Artificia...· 0 citations
Abstract Radiation modification in network glass formers such as arseno-chalcogenide alloys As–X (X = S, Se) is examined accepting possibilities of volume restrictions in their realization. Destruction of covalent chemical bonds in these alloys under above bandgap light exposure or irradiation is accompanied by their r...
O. Shpotyuk, M. Vakiv, R. Golovchak et al.· The European Physical Journa...· 0 citations
This release contains the reviewer-revised reproducibility package for the study "Design and Evaluation of Adaptive PPO-Based Resource Orchestration for Latency-Sensitive AI Inference in Cloud-Edge Computing." The revision includes a unified PPO policy, revised 45-second simulation episodes, balanced computational reso...
AhmedHadiAli· Zenodo (CERN European Organi...· 0 citations
Metallic thermal protection structures of reusable high-speed vehicles experience aerodynamic heating, high-temperature hold, and cooling in each flight mission, and the hot and cold faces accumulate different temperature and plasticity histories; after multiple missions, the elastic modulus, yield strength, cyclic har...
The reliable operation of photovoltaic (PV) systems requires effective methods for distinguishing anomalies from normal environmental variations. This study presents an Artificial Intelligence of Things (AIoT) framework for real-time PV monitoring and anomaly diagnosis. The proposed system integrates custom data acquis...
Anmar Samael Mora-Martínez, R. Jiménez-Betancourt, J. M. González López et al.· Applied Sciences· 0 citations
Version 1.1.1. Wording revision of 1.1.0 after review: the title is changed, the well-posedness claims are qualified as numerical (no existence-uniqueness theorem is claimed for the nonlinear heat problem), the inverse-square gain relation is described as an empirical fit over the tested range, the ITER89-P agreement i...
Leon Sandler· Zenodo (CERN European Organi...· 0 citations
Lithium-ion batteries (LIBs) have become central to modern energy storage systems, yet their increasing material and electrochemical complexity introduces significant challenges across their entire lifecycle. During first-life operation, high-performance applications such as fast charging require advanced and adaptive...
Maniteja Boya, Heiko Fechtner, Alexander Popp et al.· Energies· 0 citations
In a problem contribution (Arnold Math. J. 7 (2021)), D. Fuchs stated seven conjectures on the billiard trajectories in a regular n-gon which join two vertices (short trajectories) and on their n − 2 types A_0, ..., A_{n−3}, on closed trajectories, and on geodesics on the regular dodecahedron. We decide all seven. The...
Alper Ferudun· Zenodo (CERN European Organi...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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