Perspectives On Machine Learning Inference Serving in Real‐World Settings
ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri +3 more
wiley +1 more source
Real-Time Visual Anomaly Detection in High-Speed Motorsport: An Entropy-Driven Hybrid Retrieval- and Cache-Augmented Architecture. [PDF]
Cádiz RJ, Rodríguez-Sela F.
europepmc +1 more source
Abstract Objectives Individuals with Hoarding Disorder can encounter a range of professionals and non‐professionals during the course of receiving support to manage the accumulation of belongings. This thematic synthesis explored the experiences of professionals and non‐professionals working with people with Hoarding Disorder.
Hannah Parker +3 more
wiley +1 more source
Central Dogma Cycle and Network: A Model for Cell Memory
This paper revisits the Central Dogma, expanding it to the Central Dogma cycle (CDC) and Central Dogma cyclic network (CDCN). These models frame cellular memory as a system of logic‐based processes with an architecture of interconnected cycles that more accurately describe cellular information flow in cells. ABSTRACT This paper proposes an extension of
Martin R. Schiller
wiley +1 more source
An Adaptive Blockchain Framework for Federated IoMT with Reinforcement Learning-Based Consensus and Resource Forecasting. [PDF]
Murthy CHVNUB, Shri ML.
europepmc +1 more source
Crystal IO FETs feature (1) extremely low off current and (2) high on current. For ultralow‐power consumption, we are aiming at replacing conventional memories by crystal IO‐based memories and ultralow‐power ALUs using AiMC FETs in the subthreshold regime. This report will introduce the trend of these technologies.
Shunpei Yamazaki +27 more
wiley +1 more source
Vision-Language Models for Transmission Line Fault Detection: A New Approach for Grid Reliability and Optimization. [PDF]
Yu R, Mai L, Weng Y, Cui Q, Xu G, Ren P.
europepmc +1 more source
Accelerated‐USE: A Benchmark Framework for GPU‐Driven Graph Neural Network Training
ABSTRACT Graph processing is used in many domains to extract knowledge from real‐world data. With the rise of deep neural networks and scaled compute infrastructure in artificial intelligence (AI), specialized techniques emerged to leverage graphs in applications such as recommendation systems and social networks.
Lucas de Angelo Martins Ribeiro +5 more
wiley +1 more source
MIGS: A Modular Edge Gateway with Instance-Based Isolation for Heterogeneous Industrial IoT Interoperability. [PDF]
Ai Y, Zhu Y, Jiang Y, Deng Y.
europepmc +1 more source
Seed dispersal by brown bears promotes trophic facilitation in a human‐dominated landscape
Abstract Seed dispersal is a key ecological process with wide‐ranging implications for plant population dynamics, forest regeneration, and biodiversity maintenance. The role of carnivores and omnivores as endozoochorous dispersers is increasingly acknowledged.
Héctor Ruiz‐Villar +4 more
wiley +1 more source

