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edge computing

2,908 papers

#artificial intelligence Open access Oct 2026

Digital twins for incident response in critical infrastructure

Critical infrastructure underpins day-to-day life and is crucial to maintaining living standards and public health. Much of critical infrastructure is built upon Industrial Control Systems (ICS) that have been undergoing a digital transformation fuelled by the promotion of Industry 4.0 concepts, such as edge-computing,...

David Mark Allison · 0 citations
#edge computing Open access Oct 2026

Investigation of the effect of nanoparticle addition and processing history on Poly(l-lactide) stent properties

Cardiovascular diseases (CVDs) present one of the biggest healthcare challenges in our society and remain the leading cause of death globally. Additionally, in the context of the ageing of the global population, case numbers and costs associated with CVD are expected to rise. When an artery gets blocked by plaque build...

Lison Rocher · 0 citations
#edge computing Open access Oct 2026

Virtualization of accelerators in cloud-edge computing

Edge computing has the advantage of harnessing compute capabilities on remote resources located at the edge of the network to run workloads of relatively weak user devices. On the other hand, cloud computing offers compute capabilities on remote resources located, generally, geographically far from user devices on subs...

Jason Neil Kennedy · 0 citations
#edge computing Open access Oct 2026

A Decomposition Approach for Large Virtual Network Embedding

ABSTRACT Virtual Network Embedding (VNE) is the core combinatorial problem of Network Slicing, a 5G technology which enables telecommunication operators to propose diverse service‐dedicated virtual networks, embedded onto a common substrate network. VNE asks for a minimum‐cost mapping of a virtual network on a substrat...

Amal Benhamiche, Pierre Fouilhoux, Lucas Létocart et al. · 0 citations
#edge computing Open access Oct 2026

A neuromodulable current-mode silicon neuron for robust and adaptive neuromorphic systems

Abstract Neuromorphic engineering makes use of mixed-signal analog and digital circuits to directly emulate the computational principles of biological brains. Such electronic systems offer a high degree of adaptability, robustness, and energy efficiency across a wide range of tasks, from edge computing to robotics. Wit...

Loris Mendolia, Chenxi Wen, Elisabetta Chicca et al. · 0 citations
#edge computing Open access Oct 2026

Weakly collisional electrostatic simulations for laboratory astrophysics applications

Modern plasma physics research is increasingly realizing the potential for cutting edge laser-produced plasma experiments to be exploited in order to investigate astrophysically relevant phenomena. Of particular interest are collisionless shocks, and the physics of the weakly collisional regime generally. While ubiquit...

Pierce McGinn · 0 citations
#edge computing Open access Oct 2026

Resource management for Edge computing systems

Current computing techniques using the Cloud as a centralised server will become untenable as billions of devices get connected to the Internet. This will lead to the degradation of the Quality-of-Service (QoS) of Cloud-hosted applications. Recently Edge computing is proposed as a potential solution, which leverages co...

Nan Wang · 1 citation
#edge computing Oct 2026

Data-Driven Modeling and Circuit-Aware Optimization of Gate-All-Around Multi-Bridge Channel FETs

Aggressive semiconductor scaling toward sub-3 nm technology nodes requires advanced device optimization frameworks capable of efficiently exploring high-dimensional electrostatic design spaces while preserving physics accuracy and circuit-level applicability. Conventional Technology Computer-Aided Design (TCAD) based...

M. L. C. Prabhakar, Prabhu Kumar Surarappu, A. Kumar et al. · 0 citations
#explainable ai Book Open access Oct 2026

Future Trends of AI, Big Data and Digital Business Transformation

artficial intelligence (AI) and big data analytics have moved from specialised technical functions to the core of how organizations compete, create value and organise work. This concluding chapter looks ahead. It examines the technological, organizational, regulatory and societal trends that are likely to shape the nex...

Antony Ronald Reagan Panguraj · 0 citations
#explainable ai Open access Oct 2026

Computational Chemical Engineering Explained: Models & Simulation

Computational Chemical Engineering Explained: Models & Simulation serves as an open educational resource (OER) curriculum framework and foundational reference manual connecting first-principles transport phenomena, numerical methods, and modern data-driven architectures to chemical process design and control. Developed...

Prep4Uni.Online · 0 citations
#explainable ai Open access Oct 2026

Computational Chemical Engineering Explained: Models & Simulation

Computational Chemical Engineering Explained: Models & Simulation serves as an open educational resource (OER) curriculum framework and foundational reference manual connecting first-principles transport phenomena, numerical methods, and modern data-driven architectures to chemical process design and control. Developed...

Prep4Uni.Online · 0 citations
#federated learning Open access Oct 2026

DDSS: Federated Fog-Based Microservice Scheduling for IoT-Enabled ICUs

The continuous expansion of connected medical devices in the Intensive Care Unit (ICU) environment has led to the emergence of certain classes of computational problems which cannot be addressed effectively using classical scheduling mechanisms on servers. The static allocation schemes do not work well with the heterog...

A. Jothi Soruba Thaya, K. N., R. S. et al. · 0 citations

From tech blogs

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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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