Sou Hu Cai Jing·2025-12-25 16:11Core Viewpoint - Baidu's self-developed intelligent system "Famo" has demonstrated scalable application capabilities across various industries, including transportation, manufacturing, energy, and research, following successful real-world validations [1][9]. Group 1: System Overview - "Famo" was first introduced on November 13 and is designed as a self-evolving algorithm system for complex engineering and research scenarios [1]. - Over 2,000 companies have applied for trials of "Famo," covering sectors such as agricultural supply chains, AI research in universities, manufacturing scheduling, and key operator development [1]. Group 2: Technical Mechanism - Unlike traditional algorithms that rely on human experience and iterative tuning, "Famo" operates on an "automatic generation-evaluation-evolution" mechanism, enabling autonomous algorithm design, optimization, and iteration under defined constraints [3]. - The core philosophy of "Famo" is to systematize and program the thought processes, problem decomposition logic, and engineering experience of human experts, allowing the algorithm to continuously evolve and seek global optimal solutions in complex, high-dimensional, and constrained problem spaces [3]. Group 3: Performance and Applications - "Famo" employs multi-agent collaboration and evolutionary search mechanisms to automatically generate algorithm structures, parameter combinations, and optimization paths based on given evaluation metrics [5]. - In public evaluations, "Famo" has shown strong performance advantages, achieving leading results in CUDA Kernel optimization, machine learning engineering benchmarks (MLE-Bench), and algorithm engineering evaluations (ALE-Bench) [5]. - In practical applications, "Famo" has been validated in various industries, such as: - In smart manufacturing, it is used by Alt Automotive for vehicle aerodynamics design, significantly reducing wind resistance analysis time from hours to minutes while maintaining near-physical simulation accuracy [5]. - In the energy and infrastructure sector, "Famo" optimizes offshore wind power and energy pipeline layout, enhancing design efficiency and reducing trial-and-error costs [7]. - In financial risk control, "Famo" improves risk identification and model stability compared to traditional methods, shortening model development cycles [7]. - In research, "Famo" assists universities and research institutions in solving complex engineering problems, such as optimizing structural parameters for space station equipment design and aiding in disaster prediction and engineering safety [7]. Group 4: Strategic Value and Future Plans - The core value of "Famo" lies in transforming the paradigm of algorithm development from expert-dependent manual tuning to a sustainable self-evolving automated system [9]. - "Famo" has initiated collaborations across multiple fields, including transportation, energy, finance, and manufacturing, gradually forming a reusable methodological framework [9]. - Baidu has launched the "Famo·Tongzhou Ecological Partner Program," aiming to expand the system's application to more complex industrial scenarios and explore collaborations with additional research institutions and enterprises [9].