中新网上海7月26日电 (许婧陈晨江倩倩)上海交通大学26日携手徐汇区人民政府举办2025世界人工智能 大会分论坛"AI未来发展论坛：超级智能，无界共创"主题论坛。论坛上，上海交大发布了多项AI重大科 研成果，包括科学基座大模型Innovator与科研智能体 SciMaster、端侧原生大模型等，集中展示了上海 交大在AI底层技术突破方面的进展，以及AI在终端、医疗等领域大规模应用、赋能行业的巨大潜力。 科学基座大模型Innovator与科研智能体 SciMaster由上海交大人工智能学院、上海算法创新研究院和上 海深势科技联合打造。这一架构创新的科学基座大模型，具备全球领先的科学多模态理解能力和科学推 理能力，能通过开源开放的科研平台，服务百万用户。此大模型可贯穿科学研究的"读算做"全链路，为 医药、能源、材料等领域在微尺度研究领域提供高效的基础设施和智能综合体。 （文章来源：中国新闻网） 人工智能作为新一轮科技革命的核心驱动力，已成为全球竞争的战略焦点。本次论坛云集全球顶尖学术 与产业力量，启动上海交大AI未来发展计划，设置了院士主旨报告、校长高端对话等环节。 图灵奖得主JohnEdwardHopcrof ...

Core Insights - "BenZhi Activation" is a startup incubated from Shanghai Jiao Tong University's Institute of Parallel and Distributed Systems (IPADS), which is renowned for its expertise in operating systems and distributed systems, ranking first globally in the CSRankings for the past decade [2] - The team, led by CEO Mi Zeyu, focuses on edge-native AI solutions, aiming to transform personal AI paradigms by addressing privacy concerns, high costs, and lack of personalization in cloud-based AI models [2][3] Group 1: Technological Innovations - "BenZhi Activation" proposes a disruptive "edge-native" full-stack design that reconstructs the software and hardware technology system from the ground up, achieving true edge intelligence without sacrificing model intelligence [3] - The team has achieved significant breakthroughs in edge model algorithms and infrastructure, including the release of the PowerInfer edge model infrastructure system, which operates a trillion-parameter model efficiently on consumer-grade NVIDIA GTX 4090 GPUs, achieving 90% of the performance of data center-level A100 GPUs [4] - The upcoming PowerInfer-2, set to launch in June 2024, will enable the smooth operation of a 47 billion-parameter model on smartphones, surpassing the performance of international benchmarks by 29 times [4][5] Group 2: Market Impact and Future Prospects - The first batch of edge-native models will be released and open-sourced on July 26, 2025, featuring original algorithm architectures designed specifically for edge devices, allowing for smooth operation on budget hardware [5] - Industry experts highlight the growing demand for privacy protection and low latency, positioning edge intelligence as a key entry point connecting the virtual and physical worlds, with "BenZhi Activation" leading the way in low-cost, efficient deployment of large models on mainstream devices [6] - The company is recognized as one of the few globally with top-tier R&D capabilities and mass production experience in edge AI, indicating a strong potential for future growth and innovation in the sector [6]