SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse autoencoders through the DeepSeek open-source model, injecting new vitality into anomaly detection technology and providing an efficient solution. Data quality is crucial for model performance, so the behavioral data collected in the data preprocessing stage typically contains multiple features with different ...

Core Insights - MicroCloud Hologram Inc. has achieved a significant breakthrough in digital simulated quantum computing through the introduction of the DeepSeek model, enhancing simulation efficiency and providing new insights for quantum algorithm design and optimization [1][10][11] Group 1: Breakthrough and Technology - The DeepSeek model improves the simulation efficiency of quantum computing and addresses the challenges of hardware implementation, making digital simulated quantum computing a vital tool for research and development [1][2][11] - The DeepSeek model utilizes a new neural network architecture called the Quantum Tensor Network Neural Network (QTNNN), which optimizes the simulation and prediction of complex systems [6][12] - The training process of the DeepSeek model consists of pre-training and fine-tuning stages, enhancing the model's accuracy and efficiency for specific quantum systems [7][12] Group 2: Computational Efficiency - The optimized algorithm introduced by HOLO reduces computational resource consumption by over 50% when simulating large-scale quantum systems [8][12] - The accuracy of digital simulations for quantum computing has improved by more than 30%, particularly in complex quantum systems, due to the optimizations made through the DeepSeek model [9][12] Group 3: Implications for Research and Industry - The advancements in digital simulation technology will significantly impact scientific research fields such as quantum chemistry, materials science, and drug development, providing powerful tools for understanding complex quantum systems [13] - The accelerated development of quantum computing will create new opportunities in industries like finance, energy, and artificial intelligence, enhancing financial modeling, energy optimization algorithms, and machine learning models [13]

SHENZHEN, China, Feb. 10, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has announced a major program aimed at enhancing its practice in the digital currency space. The company plans to call upon up to $200 million to purchase bitcoin or other digital currencies and their related securities derivatives and incorporate these assets into its capital reserve strategy. This initiative not only highlights HOLO's in-depth insight and long-t ...

SHENZHEN, China, Feb. 6, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they have announced a significant technological breakthrough—the integration of the DeepSeek large model API application. This initiative aims to provide users with a more natural and seamless interaction experience, as well as more proactive services. This move marks a solid step forward for MicroCloud Hologram in the field of holographic digital human technology ...

Company Strategy and Technology Upgrade - MicroCloud Hologram Inc (HOLO) plans to adopt DeepSeek's R1 model as the foundation for its holographic AI application to enhance its technological capabilities in holographic digital content generation and interaction [1] - The adoption of DeepSeek R1 is part of HOLO's strategy to improve the efficiency and quality of 3D holographic digital content generation through independent R&D and algorithm optimization [3] - HOLO will integrate DeepSeek R1 into its holographic digital content generation and interaction system to optimize the holographic image generation process, leveraging R1's powerful inference capabilities and deep learning algorithms [4] - The company aims to continue increasing R&D investment in AI and holographic technology to launch more innovative and practical products and services [6] DeepSeek R1 Model Capabilities - DeepSeek R1 enhances deep thinking ability through multi-stage loop training and demonstrates excellent performance in math, code, and natural language reasoning tasks [2] - The model's breakthrough in reinforcement learning enables it to spontaneously learn complex reasoning strategies through self-gaming and evolution without requiring large amounts of labeled data [2] - DeepSeek R1's open-source nature provides HOLO with opportunities for collaboration, secondary development, and customization to meet diverse customer needs and scenarios [5] Industry Impact and Future Outlook - HOLO's adoption of DeepSeek R1 is expected to lead to more realistic, vivid, and intelligent holographic digital content, bringing convenience and fun to life and work [7] - The decision is anticipated to inject new momentum into HOLO's development and open up new paths for the advancement of holographic AI applications [7] Company Overview - MicroCloud Hologram Inc provides leading holographic technology services globally, including high-precision holographic LiDAR solutions, holographic imaging solutions, and holographic digital twin technology services [8] - The company has built a proprietary holographic digital twin technology resource library, utilizing a combination of holographic digital twin software, digital content, spatial data-driven data science, holographic digital cloud algorithms, and holographic 3D capture technology [8]

SHENZHEN, China, Jan. 24, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, their research on quantum systems has made significant breakthroughs, opening up new paths for in-depth exploration of quantum systems. The logical states of quantum bits and the values of physical interaction parameters are key issues in quantum system research. HOLO proposes studying these characteristics through interaction with the detection field. The prepara ...

SHENZHEN, China, Jan. 23, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have proposed a novel theory of Wasserstein distance extended to quantum states, which provides a fresh perspective and powerful tools for the research and analysis of quantum states. Wasserstein distance is a fundamental metric in classical probability distributions, defined based on the minimization of transport costs. It measures the minimal cost required to tr ...

SHENZHEN, China, Jan. 22, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they recently launched an innovative research achievement— a quantum random number generator (QRNG) of the properties of superposition and entanglement entirely based on quantum walks. Quantum walks, as a process of quantum state evolution, possess unique properties of superposition and entanglement. HOLO has cleverly utilized these properties to construct the qua ...

SHENZHEN, China, Jan. 21, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange submissions, aimed at overcoming the computational bottlenecks of traditional CNNs and achieving performance improvements through the advantages of quantum computing. The core innovation of this technology lies in the design and implementation of the Quantum Convolut ...

SHENZHEN, China, Jan. 16, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, with its strong technological foundation and spirit of innovation, has introduced a groundbreaking quantum bit rotation-based single-ternary quantum homomorphic encryption (QHE) protocol. Traditional encryption methods often reveal security vulnerabilities and limitations in flexibility when dealing with the complex and ever-changing scenarios of big data. However ...