WiMi Hologram Cloud Inc. Stock Price, News & Analysis

WiMi Hologram Cloud (NASDAQ: WIMI) announced research into consensus algorithms for blockchain-based Internet of Things (IoT) applications. The technology aims to address compatibility issues between IoT devices and blockchain networks through dynamically adjustable parameters like block size and transaction confirmation time. The system includes anonymous selection of master and validation nodes to enhance security.

The research focuses on integrating IoT with blockchain for applications in supply chain management and smart cities, where IoT can monitor real-time data while blockchain ensures data authenticity and tamper resistance.

WiMi Hologram Cloud has developed a decentralized cloud manufacturing model based on blockchain (BC), named Decentralized Cloud Manufacturing Application (DCMApp). This model leverages blockchain's decentralized and immutable nature to enhance the transparency, cost-effectiveness, and security of cloud manufacturing systems, eliminating the need for third-party intermediaries.

DCMApp integrates private and public blockchains, using Ethereum as the public blockchain to record and verify manufacturing agreements. Key features include resource registration, querying, protocol signing, and data verification, all facilitated through smart contracts.

The model addresses issues like single points of failure and data breaches inherent in centralized cloud manufacturing. It offers advantages such as decentralization, transparency, improved security, reliability, and scalability. DCMApp is expected to play a significant role in the digital transformation of manufacturing processes under Industry 4.0.

WiMi Hologram Cloud (NASDAQ: WIMI) announced research into integrating Reinforcement Learning (RL) with blockchain-based federated learning frameworks. The initiative aims to optimize model aggregation strategies and enhance security in federated learning systems. The RL algorithm can dynamically adjust model aggregation timing, participant selection, and transaction costs to balance information timeliness and data bias.

The framework has potential applications in healthcare for secure data sharing, financial services for risk management, and IoT for device collaboration. This research represents an innovation combining AI, blockchain, and reinforcement learning to address trust and efficiency challenges in traditional federated learning.

WiMi Hologram Cloud (NASDAQ: WIMI) announced an innovative cloud service trust interaction framework based on blockchain technology. The framework introduces 'witnesses' and smart contracts to enhance cloud service credibility and optimize provider-user interactions. The system utilizes two types of contracts: witness pool contracts for managing witness selection and rewards, and SLA contracts for service terms and breach handling.

The framework employs Nash equilibrium theory to optimize interactions through automated smart contracts, while a reputation scoring system ensures witness reliability. This solution aims to address traditional SLA model limitations by improving transparency, reducing service violations, and minimizing reliance on third-party institutions.

WiMi Hologram Cloud (NASDAQ: WIMI) announced its work on Federal Learning on Blockchain (FLoBC), combining blockchain technology with federated learning to address data privacy protection and efficient training of large-scale machine learning models. The framework enables collaborative model training without direct data exchange, using blockchain's distributed nature for transparent record-keeping and smart contracts for automated management. The system allows parallel processing across multiple nodes, accelerating training processes while maintaining privacy and eliminating single points of failure. Applications span financial risk control, healthcare data analysis, and personalized recommendation systems.

WiMi Hologram Cloud (NASDAQ: WIMI) announced its cluster-based sharding blockchain strategy for IoT collaborative computing. The strategy improves scalability by dividing the blockchain network into smaller shards, each handling its own transactions independently. The system combines dynamic clustering and deep reinforcement learning (DRL) to optimize resource allocation and shard management.

The solution intelligently organizes devices into sub-chains based on factors like network status, resources, and location. DRL helps automate optimal clustering and resource allocation, continuously learning to improve system performance and energy efficiency. This approach aims to enhance processing capacity, security, and adaptability for large-scale IoT networks.

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has reported strong financial results for the first half of 2024. The company's total revenues increased by 10% to RMB 290.8 million (USD 40.8 million) compared to the same period in 2023. Notably, AR service revenue saw a 14% increase to RMB 290.8 million.

WiMi's financial position improved significantly, with net income reaching RMB 12.3 million (USD 1.7 million), a turnaround from a net loss in the previous year. The company's cash reserves also grew substantially to RMB 1,162.0 million (USD 163.0 million) as of June 30, 2024.

CEO Shuo Shi attributed the performance to increasing demand for holographic solutions and successful business development efforts. He emphasized WiMi's commitment to holographic technology research and development, aiming to leverage public capital markets for further growth and expansion of services globally.

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has announced a machine learning-based blockchain hybrid consensus algorithm aimed at improving blockchain security, trust, and performance. This innovative approach combines machine learning with hybrid consensus to optimize the consensus process through intelligent prediction, anomaly detection, and adaptive learning. Key features include:

1. Intelligent decision optimization: Automatically adjusts consensus parameters based on network data analysis.
2. Security threat detection and prevention: Continuously monitors for potential attacks using anomaly detection.
3. Privacy protection and data governance: Integrates privacy mechanisms and smart contracts for transparent data management.

This technology represents a significant advancement in blockchain infrastructure, potentially leading to a more efficient, secure, and sustainable blockchain ecosystem for the future digital economy.

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has announced a new federated learning framework based on layered and sharded blockchain technology. This framework aims to address key issues in federated learning, including information interaction, data security, privacy protection, computational efficiency, and system scalability.

The framework divides the IoT network into a multi-layer structure with multiple shards, optimizing information processing efficiency. It uses an adaptive consensus algorithm to identify and reject abnormal models, ensuring accuracy and reliability. The system employs encryption and distributed ledger technology to enhance data security and privacy.

WiMi's framework improves computational efficiency through sharding and parallel processing, making it suitable for real-time learning scenarios in large-scale IoT devices. The flexible design allows for seamless adaptation to various network environments, from small LANs to global scale deployments.