Results 31 to 40 of about 93,163 (295)
MicroInfer : An Edge Deep-Learning Inference Framework for Industry IoT [PDF]
, 2022 To address the difficult deployment, high memory overhead, and poor portability of edge deep learning frameworks in industry IoT, we propose MicroInfer which is an edge deep learning inference framework for Microprocessors.
He, Ci, +5 more
core +1 more source
Edge AI Predictions & Simulations Manager [PDF]
, 2023 <p>ASCAPE Edge AI Predictions and Simulations Manager oversees the deployment and performance of predictive models at the edge nodes, ensuring accurate real-time predictions.
Johannes Rust +4 more
core +1 more source
Traffic Accident Severity Classification Using ResNet-18 [PDF]
E3S Web of ConferencesThe paper describes a system of automated classification of the severity of traffic accidents based on a fine-tuned ResNet-18 architecture. To meet the requirement of quick emergency reaction in low-resource urban areas, we pre-selected a dataset of ...
Oluwadamilola Oni, Emmanuel Ogbonnia
doaj +1 more source
Enabling and Leveraging AI in the Intelligent Edge: A Review of Current Trends and Future Directions
IEEE Open Journal of the Communications Society, 2021 The use of AI on Smart applications and in the organization of the network edge presents a rapidly advancing research field, with a great variety of challenges and opportunities. This article aims to provide a holistic review of studies from 2019 to 2021
Tom Goethals +2 more
doaj +1 more source
Position Paper: From Edge AI to Adaptive Edge AI
CoRREdge AI is often framed as model compression and deployment under tight constraints. We argue a stronger operational thesis: Edge AI in realistic deployments is necessarily adaptive. In long-horizon operation, a fixed (non-adaptive) configuration faces a fundamental failure mode: as data and operating conditions evolve and change in time, it must ...
Fabrizio Pittorino, Manuel Roveri
openaire +2 more sources
CoRR, 2021 TinyML is a fast-growing multidisciplinary field at the intersection of machine learning, hardware, and software, that focuses on enabling deep learning algorithms on embedded (microcontroller powered) devices operating at extremely low power range (mW range and below).
openaire +2 more sources
The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes
FEBS Letters, EarlyView.Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga +3 more
wiley +1 more source
A Lightweight Implementation of a Reduced-Depth SqueezeNet CNN on the Versal Platform for Edge Computing Applications [PDF]
پژوهشهای نظری و کاربردی هوش ماشینیIn recent years, deep neural networks have been widely adopted in computer vision applications. However, deploying these networks on portable and edge devices faces serious challenges due to limited computational resources, memory capacity, and power ...
Zahra Ghasemi +3 more
doaj +1 more source
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
AIRIS: A Real-Time Face and Object Detection System for Threat Monitoring
Technical TransactionsThis study presents AIRIS (Advanced Intelligent Recognition & Interception System), a real-time personal security monitoring platform integrating computer vision and artificial intelligence for mobile threat detection.
Urbaniak Ilona Anna +2 more
doaj +1 more source