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2,752 papers
These findings demonstrate that utilizing hypergraph-aware decoders is critical, as the performance of bias-tailored codes is highly sensitive to the geometric structure of spatio-temporal correlated noise.
A pothole area measurement system based on U-Net models that employs the segmentation approach was created and deployed on edge computing devices and found that the improved ResNet U-Net model yielded the best results.
UD-DDPG is proposed, a Lyapunov-guided queue-stable dynamic deployment framework for multi-UAV-assisted edge networks that jointly models task arrivals, air-to-ground transmission rates, UAV mobility constraints, and queue evolution, with the objective of minimizing long-term task transmission energy while maintaining...
A graph-based Mixture-of-Experts (MoE) framework that explicitly separates self and social influences to enable interpretable engagement modeling, which outperforms baselines by up to 64.1% while offering interpretable insights into engagement dynamics across language and gender groups.
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Matching players between camera feeds in sports video is usually done with deep person re-identification (Re-ID) networks such as OSNet, which add a second learned model to the inference path. This report specifies a decoupled alternative for a broadcast camera and a tactical overhead camera. A YOLOv8 detector writes p...
This deposit contains the raw measurement data, result figures, and evaluationscript behind the evaluation chapter of the Master's thesis "Addressing Edge-CloudMicroservices SLOs with Scalable Theodolite Across Multiple Kubernetes Clusters"(Ravish Kumar, Kiel University, 2026). The study benchmarks a collaborative edge...
Per-cell accessibility metrics for Switzerland at approx. 100m resolution (H3 grid, resolution 10), computed in a time-based domain (gross travel time in seconds, including origin- and destination-side overheads), a utility-based domain (disutility from a fitted mode-choice discrete-choice model), and using straight-li...
FINDING: Topological insulators exhibit bulk-edge correspondence — the interior is insulating while the boundary conducts — governed by a topological invariant (Chern number or Z₂ index), with disorder-driven metal-TI transitions showing critical exponent ν ≈ 2.7. | MATH: Bulk-edge correspondence: σ_xy = (e²/h)·C, wher...
We report three results on the Z² hard-core (hard-square) lattice gas, each carried to completion by an exact-rational and certified-interval arithmetic discipline — never an unverified floating-point approximation. First, for the finite-strip transfer matrix of this model at widths L=2,3,4,5, we certify a branch point...
Advanced technologies, including unmanned aerial vehicles, artificial intelligence, and agricultural robotics, are transforming agricultural systems toward greater sustainability and efficiency, enabling automated solutions for labor-intensive manual processes in horticulture. Accurate tree crown detection from UAV ima...
📝 Project Description The Bio-Fluidic-Mechatronic Oncology Lattice (BFM-OL) is a conceptual, closed-loop neuro-surgical architecture designed to achieve the localized eradication of glioblastoma multiforme (GBM) and other aggressive central nervous system malignancies. Moving away from traditional systemic chemotherap...
Cloud computing provides scalable computing resources, flexible data storage, and data-analysis capabilities for processing heterogeneous data generated by Internet of Things (IoT) sensors, unmanned aerial vehicles, and digital farming platforms in smart agriculture. Within the 2020–2025 evidence corpus, cloud-only and...
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.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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