| UNITED STATES | |
| SECURITIES AND EXCHANGE COMMISSION | |
| Washington, D.C. 20549 | |
| Notice of Effectiveness | |
| Effectiveness Date: | December 9, 2024 9:00 A.M. |
| Form: | F-3 | ||||||
| |||||||
| UNITED STATES | |
| SECURITIES AND EXCHANGE COMMISSION | |
| Washington, D.C. 20549 | |
| Notice of Effectiveness | |
| Effectiveness Date: | December 9, 2024 9:00 A.M. |
| Form: | F-3 | ||||||
| |||||||
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3 - MicroAlgo Inc. (0001800392) (Issuer)
SHENZHEN, China, April 28, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ:MLGO), (the "Company"), a leading developer and application provider of bespoke central processing algorithms, today announced its financial results for the year ended December 31, 2024. The Company reported total revenues of RMB 541.5 million (USD 75.3 million) and net income of RMB 53.4 million (USD 7.3 million), marking a significant turnaround from the previous year's net loss of RMB 266.2 million and net loss of RMB 46.54 million in 2022. This return to profitability is largely attributed to the company's strategic shift away from its intelligent chips and services segment, and dedication of resources resulting in st
Shenzhen, April 28, 2025 (GLOBE NEWSWIRE) -- Shenzhen, China, April 28, 2025 – MicroAlgo Inc. (NASDAQ:MLGO), (the "Company"), a leading developer and application provider of bespoke central processing algorithms, today announced its financial results for the year ended December 31, 2024. The Company reported total revenues of RMB 541.5 million (USD 75.3 million) and net income of RMB 53.4 million (USD 7.3 million), marking a significant turnaround from the previous year's net loss of RMB 266.2 million and net loss of RMB 46.54 million in 2022. This return to profitability is largely attributed to the company's strategic shift away from its intelligent chips and services segment, and dedica
SC 13G/A - MicroAlgo Inc. (0001800392) (Subject)
SC 13G/A - MicroAlgo Inc. (0001800392) (Subject)
SC 13G - MicroAlgo Inc. (0001800392) (Subject)
424B5 - MicroAlgo Inc. (0001800392) (Filer)
6-K - MicroAlgo Inc. (0001800392) (Filer)
424B5 - MicroAlgo Inc. (0001800392) (Filer)
shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical application scenarios for quantum acceleration.Quantum machine learning algorithms represent an innovative approach that applies the principles of quantum computing to the field of machine learning. By leveraging the unique properties of quantum bits, such as superposition and entanglement, these algorithms enable parallel data processing and efficient computation. Compared to classical algorithms, quantum machine learning demonstrates significant advantages i
shenzhen, May 16, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 16, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of a novel quantum entanglement-based training algorithm — the Entanglement-Assisted Training Algorithm for Supervised Quantum Classifiers. They also introduced a cost function based on Bell inequalities, enabling the simultaneous encoding of errors from multiple training samples. This breakthrough surpasses the capability limits of traditional algorithms, offering an efficient and widely applicable solution for supervised quantum classifiers.The core of MicroAlgo's entanglement-assisted training algorithm for supervised quantum c
Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and Solve New Ideas Shenzhen, May. 14, 2025––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the research of the Quantum Information Recursive Optimization (QIRO) algorithm, which aims to provide a new approach to combinatorial optimization problems by leveraging the power of quantum computing. The Quantum Information Recursive Optimization (QIRO) algorithm is an optimization algorithm based on quantum computers, designed to tackle complex combinatorial optimization probl