MicroCloud Hologram Inc Stock Price, News & Analysis

MicroCloud Hologram Inc. (NASDAQ: HOLO) has announced the development of a new Bitcoin blockchain hybrid consensus algorithm, aiming to enhance security and system performance. The company implements a PoS-based verifiable random function protocol for committee selection and employs advanced cryptography for transaction security.

Key features of the hybrid consensus algorithm include:

• Random node selection to prevent attack prediction
• Multi-signature mechanism for enhanced security
• Adaptable consensus selection based on application needs
• Improved scalability for various transaction volumes

Financially, HOLO reports:

• Current cash reserves of $303 million
• Plans to invest up to $200 million in Bitcoin and other digital currencies
• Cumulative investment returns of $8.13 million

MicroCloud Hologram (NASDAQ: HOLO) has announced a significant investment of up to $200 million in Bitcoin and cryptocurrency-related securities derivatives. The company, which currently holds $303 million in cash reserves, plans to allocate these funds toward derivatives and technology development in Bitcoin-related blockchain, quantum computing, quantum holography, and AI-powered AR.

The company reported that its total accumulated dividends have reached $8.13 million. This cryptocurrency investment is part of HOLO's capital reserve strategy, aimed at enhancing financial stability and long-term growth through diversified investments. The funds will be primarily used to invest in Bitcoin and other cryptocurrencies with significant market influence, along with related securities derivatives.

HOLO's strategic move demonstrates its commitment to exploring the cryptocurrency sector while maintaining a focus on technological innovation, including breakthroughs in quantum system research and large-scale DeepSeek integration.

MicroCloud Hologram (NASDAQ: HOLO) has announced a significant investment of up to $200 million in Bitcoin and cryptocurrency-related securities derivatives. The company issued a correction to clarify that its total 'cumulative investment income' has reached $8.13 million, rather than 'accumulated dividends' as initially stated.

Currently holding $303 million in cash reserves, HOLO plans to allocate these funds toward derivatives and technology development in cutting-edge fields including Bitcoin-related blockchain, quantum computing, quantum holography, and AI-powered AR. The investment strategy aims to enhance the company's financial stability and long-term growth potential through diversified investments.

As a technology service provider, HOLO has made notable advances in quantum system research and large-scale DeepSeek integration. The company specializes in holographic technology services, including LiDAR solutions, point cloud algorithms, imaging solutions, sensor chip design, and vehicle intelligent vision technology.

MicroCloud Hologram Inc. (NASDAQ: HOLO) has announced a breakthrough in optimizing scaling methods for open-source configurations using Deepseek LLM. The company developed a new dynamic balancing mechanism that efficiently adjusts the ratio of parameters to data volume in 7B and 67B configurations, addressing traditional performance bottlenecks in large language models.

HOLO has implemented key technical approaches including supervised fine-tuning (SFT) and direct preference optimization (DPO) to enhance the Deepseek LLM Base model. The company also developed a comprehensive dataset covering multiple fields and languages to support the model's pre-training phase.

The technology aims to improve efficiency in applications such as intelligent customer service, smart writing, and intelligent translation, contributing to industry digital transformation.

MicroCloud Hologram Inc. (NASDAQ: HOLO) has announced a breakthrough in quantum physics research, developing Local Quantum Coherence (LQC) for detecting quantum phase transitions (QPT) in various quantum systems. The company's research applies LQC to several quantum models, including the one-dimensional Hubbard model, XY spin chain model, and Su-Schrieffer-Heeger model.

The research demonstrates that LQC can effectively detect quantum phase transitions at both zero and finite temperatures, offering advantages over traditional detection methods. HOLO's study revealed that LQC shows distinct behaviors in different quantum systems, particularly in quantum dots, providing new insights for quantum materials and device development.

The company's findings contribute to understanding quantum many-body systems and offer new theoretical tools for studying quantum phase transitions, potentially advancing the development of quantum technologies.

MicroCloud Hologram (NASDAQ: HOLO) announced plans to invest up to $200 million in developing quantum blockchain technology, focusing on derivatives and technological innovation in Bitcoin blockchain, quantum computing, and artificial intelligence. The company's key development is a quantum asymmetric consensus chain algorithm based on the Bitcoin blockchain, designed to enhance digital transaction security.

The technology integrates quantum signature technology with blockchain to protect against quantum computing threats. Unlike traditional stake consensus, HOLO's system eliminates mining operations, allowing stake holders to participate in consensus through a delegated proof-of-stake mechanism. The system employs a distributed ledger and peer-to-peer network, enabling independent transaction verification without centralized servers.

This investment aims to strengthen the company's position in quantum-secure blockchain solutions, with potential applications across finance, supply chain, and healthcare sectors.

MicroCloud Hologram (NASDAQ: HOLO) has announced the optimization of stacked sparse autoencoders through the DeepSeek open-source model, enhancing their anomaly detection capabilities. The company implements data normalization techniques to improve model training efficiency by scaling data to specific ranges.

HOLO's implementation utilizes a layered training strategy where the stacked sparse autoencoder learns features progressively, with each layer extracting deeper data patterns. The system employs denoising training and Dropout regularization to enhance model robustness and prevent overfitting.

The integration of the DeepSeek model enables distributed computing for parallel task execution, significantly reducing training time. The model uses pretraining and fine-tuning strategies to accelerate convergence and improve overall performance in anomaly detection applications.

MicroCloud Hologram (NASDAQ: HOLO) has announced a significant breakthrough in digital simulated quantum computing using the DeepSeek model. The company has developed a new neural network architecture called Quantum Tensor Network Neural Network (QTNNN), which optimizes quantum computing simulation while reducing computational resources.

The breakthrough has resulted in two major achievements: a 50% reduction in computational resource consumption and a 30% improvement in simulation accuracy when handling large-scale quantum systems. The company's innovation focuses on optimizing the Tensor Network method through deep learning technology, making it possible to simulate quantum systems more efficiently.

This advancement is particularly significant as hardware implementation of quantum computers still faces technical challenges. The optimized technology will benefit various fields including quantum chemistry, materials science, drug development, finance, and artificial intelligence applications.

MicroCloud Hologram Inc. (NASDAQ: HOLO) announces its research progress in high-order quantum switch technology for quantum holographic communication. The company is developing an innovative quantum switch composed of two quantum switches controlled by a high-order quantum system, enabling flexible adjustment of application sequences.

The research includes detailed simulation models for qubit transmission, quantum switch operations, and environmental factors. HOLO has also developed a novel quantum error correction algorithm using redundant qubits and complex encoding techniques to enhance communication reliability.

The company's work encompasses advanced quantum mechanics theories, mathematical models, and specialized quantum simulation software to predict qubit communication scenarios. This research aims to achieve more efficient and secure quantum communication, potentially impacting information security, computational capabilities, and sensing technologies.