LiteNet is proposed, a lightweight model for real-time NTC in a resource-constrained environment to address the disparity between model complexity and edge device limitations, and Benchmarking results demonstrated that LiteNet outperformed the state-of-the-art method in terms of performance and efficiency.
A. Haris, Azizi Ariffin, Nor Badrul Anuar et al.· PeerJ Computer Science· 0 citations
Carton detection is a crucial task in intelligent warehouse systems, whose performance is primarily constrained by the limited storage and computing resources of warehouse edge devices. In this paper, a new model called BM-YOLO is proposed based on You Only Look Once 11 (YOLO11) to overcome these issues. First, a DimPo...
Haiyang Chen, Baoke Xue, Guangdeng Zong· Transactions of the Institut...· 0 citations
“Technology is not a distant vision—it is the reality we are shaping today.” The Research Bulletin 2026 (Vol. 3, Issue 1) from the Department of Computer Application, Integral University presents the department’s dynamic engagement with cutting‑edge research and innovation through the work of its faculty members and re...
Dr. Mohammad Faisal, Syed Adnan Afaq, Mohd Waris Khan et al.· Zenodo (CERN European Organi...· 0 citations
ECI Framework v5.9.0 — Eternal Codex Infinitus An Integrated Framework for Quantum Computation, Operational Consciousness Metrics, and Distributed Governance of Autonomous AI Agents ECI Framework (Eternal Codex Infinitus) is an open-source Python framework that integrates three research domains into a single, tested so...
Arash Mansourpour· Zenodo (CERN European Organi...· 0 citations
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As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.com/edge-computing-vs-cloud-computing-which-is-the-future/
David Ohnstad· Zenodo (CERN European Organi...· 0 citations
AI-based computer vision plays a central enabling role in intelligent quality inspection within the context of Industry 5.0, and can outperform traditional rule-based or manual solutions in terms of inspection accuracy, consistency, and throughput when they are supported by reliable acquisition, representative data, an...
Maaz A. Khan, C. Vasques, A. Cavadas· Encyclopedia· 0 citations
Class-connectivity queries can no longer cache a zero that was really an outage. _aggregate_class_connectivity used to return [] when a Neo4j or Solr call it depends on failed, and that became {'count': 0} — stored by the Solr result cache and pinned for a month at the v3-cached edge, which is how gamma Kenyon cell dow...
Rob Court, actions-user, Clare Pilgrim et al.· Zenodo (CERN European Organi...· 0 citations
Holographic Informational Ontology Framework - The Field (HIOF•tF) A short, non-technical companion to the four-part HIOF-tF series. Written for readers with a background in physics, information theory, or philosophy of science - not readers already familiar with the author's wider framework. The core idea, stated plai...
Wai-Hung (Pan) Tam· Zenodo (CERN European Organi...· 0 citations
As businesses strive to improve efficiency, reduce latency, and leverage the power of data, understanding the strengths and limitations of these two computing paradigms is crucial. Full article: https://davidohnstad.com/edge-computing-vs-cloud-computing-which-is-the-future/
David Ohnstad· Zenodo (CERN European Organi...· 0 citations
ECI Framework v5.9.0 — Eternal Codex Infinitus An Integrated Framework for Quantum Computation, Operational Consciousness Metrics, and Distributed Governance of Autonomous AI Agents ECI Framework (Eternal Codex Infinitus) is an open-source Python framework that integrates three research domains into a single, tested so...
Arash Mansourpour· Zenodo (CERN European Organi...· 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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