算力需求激增、类脑计算站上风口,专家研讨探索产学研用链路融合
Di Yi Cai Jing·2025-10-24 15:51

Core Insights - The development of brain-like computing is driven by the challenges faced by existing computing systems [1][2] - The demand for intelligent computing, particularly from large models in artificial intelligence, is experiencing explosive growth [1][2] Group 1: Event Overview - The 2025 Brain-like Intelligent Computing Forum and Innovation Product Launch was held on October 24, organized by the Guangdong Institute of Intelligent Science and Technology [1] - Experts from various universities and research institutions shared insights on cutting-edge technologies in brain-like computing [1] Group 2: Technological Advancements - Tsinghua University's brain-like computing center has developed a brain-like cloud brain platform with approximately 1.6 billion neurons [2] - The platform supports both brain science and brain-like science, addressing long hardware development cycles with a trillion-level end-to-end brain-like simulation platform [2] Group 3: Product Launch - The world's first ultra-compact, mobile brain-like computing device, "Wise One" BIE-1, was officially launched [2] - The device integrates 1,152 CPU cores, 4.8TB DDR5 memory, 204TB storage, and a 40G high-speed network interface, fitting into a space the size of a mini single-door refrigerator [2] Group 4: Core Technology - The product features a unique brain-like algorithm called "Intuitive Neural Network" (INN), capable of efficiently running various model training and inference, including large models [3] - The INN allows for training of 10 billion tokens in just 30 hours, with training and inference speeds reaching 100,000 tokens/second and 500,000 tokens/second, respectively [3] Group 5: Future Goals - The Guangdong Institute of Intelligent Science and Technology aims to build embodied brain-like intelligence, focusing on visual and location positioning, as well as multi-modal continuous learning [3]