#embedded-ai News & Analysis

3 articles tagged with #embedded-ai. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullisharXiv – CS AI · Mar 177/10

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PrototypeNAS: Rapid Design of Deep Neural Networks for Microcontroller Units

PrototypeNAS is a new zero-shot neural architecture search method that rapidly designs and optimizes deep neural networks for microcontroller units without requiring extensive training. The system uses a three-step approach combining structural optimization, ensemble zero-shot proxies, and Hypervolume subset selection to identify efficient models within minutes that can run on resource-constrained edge devices.

AINeutralarXiv – CS AI · Apr 146/10

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The Weight of a Bit: EMFI Sensitivity Analysis of Embedded Deep Learning Models

Researchers demonstrate that embedded neural network models using integer representations (8-bit and 4-bit) are significantly more resilient to electromagnetic fault injection attacks than floating-point formats (32-bit and 16-bit). The study reveals that floating-point models experience near-complete accuracy degradation from a single fault, while 8-bit integer representations maintain robust performance, with implications for securing AI systems deployed on edge devices.

AINeutralarXiv – CS AI · Mar 34/103

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A Neural Network-Based Real-time Casing Collar Recognition System for Downhole Instruments

Researchers developed Collar Recognition Nets (CRNs), lightweight neural networks for real-time recognition of casing collar signatures in downhole oil/gas operations. The system achieves 97.2% accuracy with only 1,985 parameters and processes 1,000 inferences per second on embedded ARM hardware.