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edge computing

2,975 papers

#edge computing Open access Sep 2026

Analysis code and outputs: cryptocurrency designation reaches the addresses that moved the money, not the infrastructure that carries it

Code and analysis outputs supporting the manuscript. Every quantity reported in the paper is drawn from the JSON files in analysis/, each produced by a script in scripts/. The study uses three kinds of data: the complete on-chain USDT histories of the 490 addresses named in Israeli counter-terrorism seizure orders and...

Qian'ang Mao, Jiaxin Wang, Jiaqi Yan · 0 citations
#edge computing Open access Sep 2026

Minimal Computing Cosmology 2.3.2: Why Our Universe Is Made of Matter

Minimal Computing Cosmology 2.3.2 presents a cumulative cosmological framework built on the WRRA Core and the principle of minimum sufficient computation. The universe is not assumed to be uniquely designed, perfectly optimized, or metaphysically privileged. It is treated as a surviving execution structure that perform...

Wonsik Choi · 0 citations
#edge computing Open access Sep 2026

WaterSoftHack: Best Practices for Advancing Cyberinfrastructure and Machine Learning Training in Water Science

The 2026 cycle added a three-day module on cloud and edge computing, delivered 21 to 23 July to all 17 Fellows. Each day paired a two-hour lecture with a one-hour hands-on workshop, and one scenario ran across all three days: a real-time flood early-warning system built from a network of USGS stream gauges.Day 1, Cloud...

Bijaya Adhikari · 0 citations
#edge computing Open access Sep 2026

BigLeak‑Hurrican‑Cosmology + DEFT - Latest version September 2026

Short Summary The BigLeak Hurrican Cosmology is an alternative model of the universe that tries to explain all major cosmological observations without Dark Matter, without Dark Energy, and without the Λ‑term. Instead of adding new particles or unknown energy forms, the model builds the universe from one single fundamen...

Harald Peter Joseph Engelhardt · 0 citations
#edge computing Open access Sep 2026

WaterSoftHack: Best Practices for Advancing Cyberinfrastructure and Machine Learning Training in Water Science

The 2026 cycle added a three-day module on cloud and edge computing, delivered 21 to 23 July to all 17 Fellows. Each day paired a two-hour lecture with a one-hour hands-on workshop, and one scenario ran across all three days: a real-time flood early-warning system built from a network of USGS stream gauges.Day 1, Cloud...

Bijaya Adhikari · 0 citations
#edge computing Open access Sep 2026

Adaptive Hybrid Quantization Framework for Real-Time Speculative Decoding in Edge-Cloud Systems

High-throughput inference for Large Language Models (LLMs) remains bottlenecked by memory bandwidth constraints and compute latency, particularly in hybrid edge-cloud topologies. This paper proposes an Adaptive Hybrid Quantization (AHQ) framework integrated with real-time speculative decoding. By dynamically allocating...

Bashar Mohammed Ali Ghaleb · 0 citations
#edge computing Open access Sep 2026

Physical Cybernetics: Restoring Substrate, Homeostasis, and Continuous Dynamics 70 Years After the Dartmouth Divergence

Physical Cybernetics: Restoring Substrate, Homeostasis, and Continuous Dynamics 70 Years After the Dartmouth Divergence Special 70th Anniversary Commemorative Treatise (1956–2026)Series: QN-PC-2026-V1.0 | Completed: August 2026 | Published: September 2026 Abstract Background: In the summer of 1956, the Dartmouth Summer...

Steven K · 0 citations
#edge computing Open access Sep 2026

Minimal Computing Cosmology 2.3.2: Why Our Universe Is Made of Matter

Minimal Computing Cosmology 2.3.2 presents a cumulative cosmological framework built on the WRRA Core and the principle of minimum sufficient computation. The universe is not assumed to be uniquely designed, perfectly optimized, or metaphysically privileged. It is treated as a surviving execution structure that perform...

Wonsik Choi · 0 citations
#edge computing Open access Sep 2026

Inter-Containment Critical Cross-Sections and the NANOGrav 15-year Gravitational-Wave Background: Spectral Tests with Corrected Posteriors, a Falsification Record, and the Redshift-Broadening Mechanism Working Paper v1.2 — far-from-critical consistency, linear-size numerics (β∞ = 1.51) and the linear-size convention

We test the gravitational-wave background (GWB) spectral consequences of the inter-containment framework against the corrected NANOGrav 15-year free-spectrum posteriors (v2.0.0, Zenodo 21844115; v1.x posteriors were biased by a parallel-tempering bug, erratum ApJL 1006 L67). Using the factorized ceffyl likelihood with...

wei Liu · 0 citations
#edge computing Open access Sep 2026

Adaptive Hybrid Quantization Framework for Real-Time Speculative Decoding in Edge-Cloud Systems

High-throughput inference for Large Language Models (LLMs) remains bottlenecked by memory bandwidth constraints and compute latency, particularly in hybrid edge-cloud topologies. This paper proposes an Adaptive Hybrid Quantization (AHQ) framework integrated with real-time speculative decoding. By dynamically allocating...

Bashar Mohammed Ali Ghaleb · 0 citations
#edge computing Open access Sep 2026

Physical Cybernetics: Restoring Substrate, Homeostasis, and Continuous Dynamics 70 Years After the Dartmouth Divergence

Physical Cybernetics: Restoring Substrate, Homeostasis, and Continuous Dynamics 70 Years After the Dartmouth Divergence Special 70th Anniversary Commemorative Treatise (1956–2026)Series: QN-PC-2026-V1.0 | Completed: August 2026 | Published: September 2026 Abstract Background: In the summer of 1956, the Dartmouth Summer...

Steven K · 0 citations
#edge computing Open access Sep 2026

Agentic Mission Orchestration for Agricultural Robots: Source Code and Support Data

The following material supports the article Agentic Mission Orchestration for Agricultural Robots: Coupling Agronomic Validity, Edge AI Reliability, and Data Governance, submitted to Precision Agriculture (Springer Nature). This deposit corresponds to the first revision (R1) of the manuscript and supersedes the materia...

Massimo Vecchio, Miguel Pincheira, Mattia Antonini et al. · 0 citations

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Microsoft Research Blog Oct 29, 2026

Microsoft Research Focus – Edition #97

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 Oct 28, 2026

Making machines that can listen

Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.

Microsoft Research Blog Oct 21, 2026

Solving a 31-year-old grand challenge in mathematics – the KLS conjecture

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 Oct 15, 2026

AI model decodes the language cells use to communicate

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 Oct 15, 2026

Proof-based general-purpose computing with Magnetar

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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