A computationally efficient stereo matching architecture, termed MCFNet, designed to minimize processing bottlenecks without compromising accuracy is introduced, highlighting its potential for practical multimedia systems such as autonomous driving and intelligent robotics.
This work presents a WebAssembly/Rust toolset with a geospatial data pipeline and efficient implementation of connectivity analysis, which has the potential to reduce backend operational complexity, resource requirements, and overall cost.
Alex J. Southgate, Joanna Redihough· bioRxiv· 0 citations
ABSTRACT Reconfigurable optoelectronic image sensors capable of in‐sensor computing are promising for energy‐efficient edge visual perception. Self‐powered photovoltaic operation further reduces the power demand of image sensing and processing. However, it remains challenging to achieve a continuously gate‐tunable self...
Ji-Dong Liu, Jian-Xiong Xie, Qiao-Yan Hao et al.· Advancement of science· 0 citations
An Enhanced Content-Based Image Retrieval Using Fusion of Feature Representation with Optimised Image Similarity Measures (CBIRFR-OISM) approach is proposed to effectively enhance the system’s capability to retrieve visually and contextually similar images.
Physical reservoir computing (PRC) offers a promising pathway for energy-efficient edge intelligence; however, existing micro-electromechanical systems (MEMS) implementations struggle to balance computational dimensionality with hardware complexity. Here, we introduce a parallel reservoir architecture realized within a...
A unified analytical framework is introduced that models inference latency, bandwidth, energy, computational complexity, throughput, and model compression, and is used to compare cloud versus edge execution.
H. Almimi, Ahmad Al-Dahoud, Ali A. Al-Dahoud et al.· WSEAS Transactions on Inform...· 0 citations
This review synthesizes the current body of literature on AI-IoT integration in precision farming, covering the core enabling technologies — smart sensors, unmanned aerial vehicles, UAVs, geographic information systems, GIS, edge and cloud computing, and block chain-based traceability — and the layered architecture thr...
G. Swetha, T. Anuradha· IRASS Journal of Multidiscip...· 0 citations
Simulation results show that the proposed strategy converges rapidly and consistently outperforms benchmark schemes in latency and energy efficiency, while providing stronger adaptability to human-machine collaborative quality inspection scenarios.
Unknown authors· International journal of pat...· 0 citations
A persistent gap between technical performance and comparative, longitudinal, and distributionally assessed urban-service outcomes is identified and a persistent gap between technical performance and comparative, longitudinal, and distributionally assessed urban-service outcomes is identified.
Manel Mrabet, Maha Sliti, M. I. Mohmand et al.· Urban Science· 0 citations
It is argued that AI should augment rather than replace trained security personnel and that performance must be assessed using airport-specific measures such as detection probability, false-alarm burden, alert-to-intervention time, crowd-risk prediction, system availability and passenger-impact indicators.
This work proposes an adaptive modulation strategy driven by the initial input that synthesizes effective nonlinearity within a standard linear optical framework, and reveals that shallow nonlinear architectures can outperform significantly deeper linear counterparts, demonstrating that computational nonlinearity can e...
Yu-Chuan Shao, Hai-Qi Gao, Zi-Yan Zhang et al.· Laser & Photonics Review...· 0 citations
In-process measurement of changes in grinding wheel condition is expected to prevent machining defects. A method for monitoring grinding wheel condition through grinding vibration analysis was examined in this study. To achieve this, a measurement device was developed by housing two accelerometers, a compact microcontr...
Mizuki Uematsu, Kazuya Kato, Motoki Yonezawa et al.· International Journal of Aut...· 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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