This paper investigates the computational capabilities of a non-conventional neural architecture designed to analyze highly non-linear, high-energy geophysical patterns within the Japanese region. To bypass the severe infrastructure costs associated with high-performance computing (HPC) clusters and promote decentraliz...
Marco Franzini· Zenodo (CERN European Organi...· 0 citations
The O-series defines a canonical pair-level capacity observable and establishes that vertical non-injectivity does not change its observable rank. The further prescription ${\beta^{*}}=1/({\delta_{\mathrm{pair}}}+\tfrac12)$, however, imports the changing-degree LPS growth equation into a fixed-degree Heisenberg cascade...
Abstract Community detection algorithms such as Leiden frequently produce clusters thatare internally disconnected or poorly connected, limiting their utility indownstream network analysis. The Well-Connected Clusters (WCC) and ConnectivityModifier (CM) algorithms address this by post-processing any input clusteringto...
Mohammed Dindoost, Oliver Alvarado Rodriguez, Asif Uddin et al.· Applied Network Science· 0 citations
This review examines how large language models can be introduced into the power internet of things without shifting them into the role of direct grid control agents and evaluates intelligent inspection, digital-twin assistance, virtual power plants, demand response, and load forecasting through an explicit evidence-mat...
Chao He, Yun-Jie Su, Si-Rui Zhang et al.· Clean Energy· 0 citations
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FINDING: Topological insulators are bulk-insulating but surface/edge-conducting quantum phases, protected by time-reversal symmetry and characterized by a Z₂ topological invariant. | MATH: The key invariant is the Z₂ index ν ∈ {0,1}, computed from the Pfaffian of the Bloch wavefunction overlap matrix: δ(k) = Pf[⟨u_m(k)...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
An online Deep Reinforcement Learning (DRL) based adaptive partition method to dynamically determine optimal partitioning decision so as to jointly accelerate DNN inference and mitigate energy consumption is developed.
Shu-Bin Zhang, Junrong Ma, Kai-Kai Chi et al.· ACM transactions on sensor n...· 0 citations
Autonomous Spacecraft Detumbling Under Severe Tip-Off The Problem Small satellite missions in Low Earth Orbit (LEO) face critical survival risks during post-launch separation or emergency safe-modes. In these phases, violent multi-axis tumbling rates (exceeding 90°/s) blind high-precision optical sensors and saturate m...
Andres Sebaatian Pirolo· Zenodo (CERN European Organi...· 0 citations
This record contains the prospectively frozen scientific protocol for HLV-R-MECH-001, a mechanism-focused successor test motivated by the surviving degree-preserving rewire residual observed in earlier HLV specificity studies. HLV-R-MECH-001 is not a retry of full HLV carrier specificity. The previously published DS-SP...
Marcel Krüger· Zenodo (CERN European Organi...· 0 citations
Edge computing environments present unique challenges for neural network deployment due to resource constraints and latency requirements. This paper explores optimized deployment strategies for neural networks in edge computing scenarios, focusing on model compression techniques, adaptive allocation algorithms, and dyn...
Zen Revista, 10 IA· Zenodo (CERN European Organi...· 0 citations
Future Scientific Development of Artificial Intelligence and Robotics in the Right Direction Under a sound institutional framework, the future scientific development of artificial intelligence and robotics will no longer centre on blindly scaling general‑purpose large models or repeatedly developing homogeneous complet...
Hot Springs Research Institute of Kanagawa Prefecture· Zenodo (CERN European Organi...· 0 citations
First public release. Reinforcement-learning controller that adaptively partitions Stable Diffusion inference between an edge client and a server, selecting split point, quantization, decoder, and privacy settings per request based on live device and network conditions. The raw prompt and final image stay on-device; on...
afzalahmed786· Zenodo (CERN European Organi...· 0 citations
The accelerating digitisation of healthcare, financial services, and urban governance has intensified concerns regarding data privacy, security, and unauthorised data exploitation. Traditional centralised data management architectures exhibit inherent vulnerabilities, including single points of failure, susceptibility...
Divyang Joshi, Paresh Patel, Hiren Harsora et al.· International journal of bus...· 0 citations
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
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.
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