Core Viewpoint - The "Artificial Intelligence +" initiative has been elevated to a strategic level, signaling a transformation that will reshape the economic structure and create trillion-level market opportunities across various industries [1][2]. Group 1: Strategic Goals and Implementation - The State Council has issued a plan with clear developmental goals for AI by 2027, 2030, and 2035, aiming to integrate AI deeply into various sectors of the economy and society [1][2]. - The initiative outlines six major actions and eight supporting measures to guide the application of AI, enhancing overall productivity and market vitality [2][3]. Group 2: Industry Opportunities - The shift in focus from large model development to vertical applications presents a significant opportunity for domestic companies to leverage their strengths in application and market integration [2][4]. - The "Artificial Intelligence +" action plan will facilitate the integration of AI infrastructure with vertical industries, providing essential support for industrial upgrades [3]. Group 3: Key Insights from Industry Leaders - Industry leaders emphasize the importance of high-quality data and valuable application goals for the successful implementation of the "Artificial Intelligence +" initiative [5]. - AI companies must focus on solving real-world problems and identifying structural bottlenecks within core industry processes to ensure AI becomes a necessity rather than an added value [6]. Group 4: Lenovo's AI Initiatives - Lenovo has established a comprehensive AI ecosystem, investing in over 270 AI companies and developing a full-stack intelligent technology system that includes hardware and software solutions [9][10]. - Lenovo's AI-driven manufacturing model has significantly improved production efficiency, reducing scheduling time from 6 hours to 1.5 minutes and increasing delivery efficiency by over 20% [7][11]. Group 5: Market Opportunities in AI Applications - The healthcare sector is seeing significant advancements through AI, with applications in drug discovery and surgical planning, demonstrating the technology's potential to enhance efficiency and reduce costs [14]. - The integration of AI in the renewable energy sector is also promising, as AI can optimize supply-demand balance in power systems, addressing bottlenecks in energy consumption [14]. Group 6: Future of Work and AI - The introduction of AI is expected to change the nature of work, enhancing knowledge acquisition and communication methods, while also creating new job opportunities in AI-related fields [18][19]. - Historical trends suggest that technological advancements typically lead to increased demand for labor rather than job losses, indicating that AI could serve as a powerful engine for job creation [19].

据悉，作为生命科学领域首个专属深度探索助手，"发现助手"通过智能交互理解需求，自动执行多维度 信息检索与分析，最终生成结构化深度报告。 新浪科技讯 4月29日上午消息，近日，在百图生科举办的AI生命科学基础大模型驱动的生成式发现系统 发布会上，发布了全球首个AI生命科学基础大模型驱动的生成式发现系统，首次全景展现AI生命科学 基础大模型驱动的全链路创新体系。 据介绍，百图生科于2024年10月发布全模态生物大模型xTrimo V3，以2100亿参数量刷新全球最大规模 的生命科学AI基础模型纪录。为协助客户和合作方最高效的利用最前沿大模型、实现业务流程一体化 与效率提升，依托2100亿参数xTrimo多模态大模型，百图生科构建覆盖信息搜集-生物洞察-智能实验的 全流程AI发现平台，助力生命科学企业实现研发效率提升、加速业务闭环。 百图生科总裁邓永富表示，"经过近五年发展，公司已成长为全球生命科学基础大模型的领跑者。目 前，公司已服务全球500多家机构客户，包括49所QS世界百强大学和赛诺菲等多家跨国药企，潜在订单 总额达20亿美元。" 百图生科技术副总裁张晓明介绍，生命科学生成式发现系统的核心是"发现助手"，并 ...