Core Viewpoint - LUXI Technology aims to leverage its technological advantages in brain-like computing and autonomous controllable artificial intelligence to explore innovative architectures and industrialization paths for the next generation of AI in collaboration with the Generative AI Safety Development Joint Laboratory in the Guangdong-Hong Kong-Macao Greater Bay Area [1]. Group 1: Company Overview - LUXI Technology is the first Chinese company focusing on brain-like AI large models, dedicated to building a self-developed brain-like architecture from scratch [4]. - The company has successfully launched China's first self-developed large model using brain-like technology, known as the LUXI Brain-like Large Model [4]. - LUXI collaborates with several industry leaders to create specialized brain-like large models for sectors such as healthcare, water resources, finance, education, and low-altitude economy [4]. Group 2: Technological Advancements - The self-developed brain-like architecture of LUXI Technology significantly improves reasoning efficiency by several times and reduces energy consumption by over 80% compared to traditional architectures [4]. - The company adheres to a "self-developed chips + hardware-software adaptation" technical path, promoting the integration of models and chips for efficient operation on domestic chips [4]. - This approach allows LUXI Technology to eliminate reliance on foreign high-performance GPUs, establishing an autonomous and controllable brain-like AI technology system [4].

Core Insights - Zhejiang University has launched a new generation of neuromorphic brain-like computer named "Wukong," which is the first in the world to exceed 2 billion neurons based on dedicated neuromorphic chips [1][2] - "Wukong" features over 2 billion spiking neurons and more than 100 billion synapses, closely resembling the scale of a macaque brain, with a typical operating power consumption of approximately 2000 watts [1] - The previous largest neuromorphic brain-like computer was Intel's Hala Point system, which had a neuron scale of 1.15 billion [1] Group 1 - "Wukong" is equipped with 960 self-developed Darwin 3rd generation brain-like computing chips, organized into 15 blade-type neuromorphic brain-like servers [1] - Each chip supports over 2.35 million spiking neurons and hundreds of millions of synapses, along with a dedicated instruction set for brain-like computing and an online learning mechanism [1][2] Group 2 - The research team has developed the Darwin brain-like operating system alongside "Wukong," which can run intelligent applications such as DeepSeek brain-like models for logical reasoning, content generation, and mathematical problem-solving [2] - "Wukong" offers a new computational paradigm with its large scale, high parallelism, and low power consumption, providing a computational foundation for artificial intelligence development and serving as a simulation tool for neuroscientists [2]

Core Viewpoint - The article discusses the launch of "Wukong," the world's largest neuromorphic brain-like computer developed by Zhejiang University, which features over 2 billion neurons and more than 100 billion synapses, marking a significant advancement in brain-inspired computing technology [2][3]. Group 1 - "Wukong" is the first neuromorphic brain-like computer with a neuron scale exceeding 2 billion, surpassing Intel's Hala Point system, which has 1.15 billion neurons [2]. - The computer operates at approximately 2000 watts under typical conditions, showcasing its low power consumption compared to traditional computing systems [2]. - "Wukong" is built on 960 Darwin 3rd generation brain-like computing chips, organized into 15 blade-style neuromorphic servers [2][3]. Group 2 - The research team has developed a new generation Darwin brain-like operating system alongside "Wukong," enabling it to run various intelligent applications, including DeepSeek brain-like models for logical reasoning, content generation, and mathematical problem-solving [3]. - "Wukong" can simulate the brain structures of various animals, including nematodes, zebrafish, mice, and macaques, providing a versatile platform for neuroscience research [3][4]. - The computer's high parallelism and efficiency are expected to offer new computational paradigms for existing computing scenarios and support the development of artificial intelligence [3][4].