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AI-native networks are being developed toward a vision in which communication, computing, sensing, and physical systems are jointly optimized within a single execution environment, extending from data centers to the edge, to on-device AI, and into industrial and physical AI. This paper does not question whether that vi...
Neutral-to-earth voltage (NTEV) is a critical indicator of grounding integrity, insulation degradation, and electrical safety in distribution networks; however, it is often monitored only through centralized cloud-based systems, resulting in high latency, limited visibility of time-dependent anomalies, and dependency o...
This paper proposes a mobility-aware two-timescale orchestration framework for distributed edge computing in Open Radio Access Networks, where user mobility, handover events, service migration, task offloading, and radio–compute allocation are jointly considered. The framework exploits the functional separation between...
Edge intelligence enables the execution of AI inference tasks on computing platforms at the network edge, typically co-located with or near the radio access network rather than in centralized clouds or on mobile devices. This approach is particularly well suited for data analytics of low-latency and resource-constraine...
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The El-Rakhawi Grand Theory of Regenerative Cybernetic Infrastructure and Sovereign Computing (DOI: 10.5281/zenodo.23232575) reimagines Information Technology as a **decentralized, edge-intelligent planetary nervous system** operating in cybernetic harmony with human dignity and ecological boundaries. Built on six pill...
Artificial Intelligence has emerged as a pivotal advancement in textile systems, integrating intelligent sensing, wearable computing, IoT, and machine learning applications on smart fabrics for real-time monitoring of object behavior through predictive analytics. The primary areas of application identified in the inves...
The evolution of flexible and stretchable electronics has reshaped traditional textiles into intelligent wearable devices that have benefits such as sensing, communicating, computing, and making decisions in real-time. Currently, e-textile technologies are still disparate, lacking integration of the smart features of e...
The integration of Artificial Intelligence (AI) with cloud computing has emerged as an important research area for developing scalable, intelligent, and automated computing environments. Cloud computing provides on-demand access to computing resources, storage, networking, and software services, while AI and Machine Le...
The El-Rakhawi Doctrine of Self-Governing Ubiquitous Systems presents a unified normative-theoretical framework addressing the critical gap between rapidly evolving autonomous computing technologies and inadequate legal governance structures. As ubiquitous systems transition from passive instruments to self-governing a...
KAIPAL and KENOS: Democratizing Artificial Intelligence Through Privacy-First Local Models and a Unified Chat-Native Operating Interface Kohenoor Labs | Kohenoor Technologies Description This publication presents the technological vision, architectural philosophy, and applied development direction of Kohenoor Labs thro...
EL-RAKHAWI BEACON: EXECUTIVE SUMMARY The El-Rakhawi Beacon is a symbiotic convergence system integrating four life-sustaining functions into a single solar-powered unit: atmospheric water generation (8-40 L/day via MOF sorbents), hybrid energy storage (LFP battery 5kWh), edge AI with mesh networking, and environmental-...
The El-Rakhawi Grand Theory of Regenerative Chemo-Topological Harmony unifies six pivotal domains of modern chemistry into a single sovereign framework for planetary sustainability. It reinterprets Metal-Organic Frameworks (MOFs) as physical instantiations of chemo-topological identity elements, where molecular pores c...
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…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
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.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
A Blog post by Liquid AI on Hugging Face
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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