---
title: "Redundancy in AI: A Hybrid Convolutional Neural Networks CNN Approach to Minimize Computational Overhead in Reliable Execution"
url: https://daily.dev/posts/redundancy-in-ai-a-hybrid-convolutional-neural-networks-cnn-approach-to-minimize-computational-over-xkdh4ftaw
source_url: https://www.marktechpost.com/2024/05/10/redundancy-in-ai-a-hybrid-convolutional-neural-networks-cnn-approach-to-minimize-computational-overhead-in-reliable-execution/
type: article
source: "Machine Learning News"
published: 2024-05-10T23:29:00.811Z
updated: 2024-05-10T23:28:58.762Z
tags: ["ai", "neural-networks", "embedded"]
reading_time: 3
upvotes: 3
comments: 0
language: en
---

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# Redundancy in AI: A Hybrid Convolutional Neural Networks CNN Approach to Minimize Computational Overhead in Reliable Execution

**[Machine Learning News](https://daily.dev/sources/mlnews)** · 3 min read · 3 upvotes · 0 comments

## Summary

A method called redundant execution is proposed to ensure the safety and reliability of AI systems by integrating reliable and non-reliable execution. It focuses on minimizing computational overhead while optimizing resources. The method uses a hybrid convolutional neural network architecture and demonstrates feasibility through experiments.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.marktechpost.com/2024/05/10/redundancy-in-ai-a-hybrid-convolutional-neural-networks-cnn-approach-to-minimize-computational-overhead-in-reliable-execution/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#neural-networks](https://daily.dev/tags/neural-networks), [#embedded](https://daily.dev/tags/embedded)

[View this post on daily.dev](https://daily.dev/posts/redundancy-in-ai-a-hybrid-convolutional-neural-networks-cnn-approach-to-minimize-computational-over-xkdh4ftaw)