Blockchain technology, hailed as a revolutionary framework for decentralization, grapples with crucial issues like scalability and efficiency. Traditional blockchains are bogged down by the requirement for each node to maintain a full history of transactions, leading to substantial storage requirements and slower transaction times. Enter WiMi Hologram Cloud Inc., poised to revolutionize the blockchain landscape. Their innovative approach aims to directly address these core inefficiencies. WiMi’s solution could significantly reduce the storage burden on individual nodes and speed up transaction processing, potentially refining blockchain’s applicability across various sectors. This breakthrough suggests a pivotal shift in how blockchain networks could operate, potentially unlocking new levels of performance and broader adoption.
Breakthrough in Blockchain Storage
WiMi’s innovative blockchain data storage model integrates Extreme Learning Machine (ELM), a rapid learning neural network, to facilitate a process known as sharding. Sharding is not a new concept in databases, but its application within blockchain technology is a game-changer. This technique involves dividing the blockchain into separate, manageable mini-blockchains or ‘shards’. Each shard contains a portion of the network’s transactional data, which it processes independently.Why is this approach revolutionary? By implementing sharding, WiMi substantially reduces the storage requirements for each node. The nodes no longer need to store the entire blockchain but only a shard of it. This not only eases the strain on storage but also lowers the costs associated with the maintenance of a blockchain network. Furthermore, since shards can perform data processing tasks in parallel, this method dramatically accelerates transaction speed and system performance, making blockchain technology more practical for a variety of applications.Enhanced Security and Scalability
WiMi’s integration of ELMs, or Extreme Learning Machines, into blockchain processes is transformative. ELM technology randomizes initial neuron connections between the input and hidden layers within a neural network, streamlining the process of establishing ideal output weights. This cuts down training time significantly, making the neural network adept for real-time blockchain applications.Within the blockchain framework, ELMs enhance data organization and processing in shards—subsections of the blockchain—giving each shard its own ELM for independent operation. This sharding approach not only boosts the speed of data handling but also advances network security. Since shards operate separately, any security breach’s effects are confined, mitigating the risk of wide-scale system failure. WiMi’s application of ELMs to blockchain thereby increases the efficiency, security, and practical use of the technology, paving the way for novel uses in various industries.
