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Machine Learning on Blockchain: A New Approach to Engineering Computational Security
A recent study published in the journal Engineering introduces an innovative framework called Machine Learning on Blockchain (MLOB), which merges machine learning (ML) and blockchain technology (BT) to enhance computational security in engineering. According to Eurasia Review, this framework addresses the shortcomings of existing ML-BT integration methods, which often prioritize data security while neglecting computational security. The MLOB framework ensures that both data and computational processes are executed on the blockchain, utilizing smart contracts to safeguard execution records.
The framework comprises four key components: ML acquisition, ML conversion for blockchain deployment, ML safe loading to secure data transfer, and consensus-based ML model execution to ensure computational accuracy. In a prototype application for indoor construction progress monitoring, the MLOB framework demonstrated its effectiveness by defending against six attack scenarios and maintaining a high accuracy level, with only a 0.001 difference in the mean intersection over union (MIoU) metric compared to the best baseline method. However, it showed a slight efficiency compromise, with a 0.231-second latency increase compared to the most efficient baseline. Despite these limitations, the framework offers significant managerial benefits, such as encouraging innovation and optimizing resource allocation. For more details, visit Eurasia Review at https://www.eurasiareview.com/01032025-machine-learning-on-blockchain-a-new-approach-to-engineering-computational-security/.
Continuous Learning's Impact on Crypto Trading Success
Continuous learning has been identified as a critical factor for success in cryptocurrency trading, as highlighted by Blockchain.News. According to insights shared by @AltcoinGordon on Twitter, the rapidly evolving nature of crypto markets necessitates constant updates in knowledge to maintain a competitive edge. Traders are encouraged to stay informed about emerging technologies, market trends, and analytical tools to refine their strategies and enhance decision-making processes.
This approach is particularly important as the crypto landscape continues to grow in complexity. By adopting a mindset of continuous learning, traders can better adapt to market changes and optimize their performance. Blockchain.News emphasizes the importance of conducting thorough research and consulting professionals before making financial decisions. For more information, visit Blockchain.News at https://blockchain.news/flashnews/continuous-learning-s-impact-on-crypto-trading-success.
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