作为我国农业和生命科学领域的战略科技力量，遗传发育所拥有种子创新全国重点实验室等国家级科研 平台。此次智慧育种计划将利用AI技术攻克海量生物组学数据的自动化采集及解析难题，以"数字大 脑"为核心突破传统分子育种的效率瓶颈，实现从"经验育种"向"智能设计育种"的跨越。 来源：中国网 近日，中国科学院遗传与发育生物学研究所(以下简称"遗传发育所")与阿里云达成全面合作，正式启动 智慧育种计划。该计划将构建标准化的表型组数据采集体系，基于阿里全栈AI基础设施和千问大模型 底座，共同打造具备"感知、决策与执行"能力的植物育种"数字大脑"及数字孪生实验平台。 中国科学院院士、遗传与发育生物学研究所副所长傅向东，阿里云智能集团资深副总裁、政企事业部总 裁李津出席并见证签约仪式。中国科学院遗传与发育生物学研究所副所长、育种前沿技术实验室主任鲁 非，阿里云智能集团政企事业部华中区域总经理韩飞代表双方签署协议。 中国科学院院士、遗传发育所副所长傅向东表示： "种子是现代农业的'芯片'，而'数字大脑'将成为未 来育种的智慧中枢。此次合作我们将把科研育种产生的海量数据转化为可计算的育种规律。通过与阿里 云的合作，我们希望让AI像辅 ...

Group 1 - XDream Robotics, a developer of companion robots, has successfully completed multiple rounds of financing, raising tens of millions within just two months since its establishment [2] - The recent funding will primarily be used for product development and team building for the XDream series of companion robots [2] - The founding team of XDream Robotics consists of cognitive science experts and a robotics hardware team from top global institutions, with a history of successful entrepreneurship [2] Group 2 - The first product in the XDream series will be designed for both indoor and outdoor use, featuring high emotional intelligence and weak language interaction capabilities [2] - XDream Robotics aims to create robots that can establish deep emotional connections with humans, evolving from mere tools to accepted companions [2] - To achieve the robot's "emotional intelligence" and "sense of life," XDream is developing a "digital brain" based on human brain information processing mechanisms [3] Group 3 - The algorithm system being developed simulates the human brain's information processing, allowing the robot to have both instinctive and reasoning capabilities [3] - This system enables the companion robots to exhibit intrinsic motivation, curiosity, and diverse human-like interaction abilities, moving beyond passive responses [3] - XDream has successfully completed the cognitive architecture loop and has designed a prototype, with plans to start testing in Q1 of next year and open product pre-sales in Q3 [3]

Core Viewpoint - The article discusses the competitive landscape of the fresh food e-commerce sector, highlighting Dingdong Maicai's strategic shift towards a quality-driven model, termed the "4G" strategy, which focuses on good users, good products, good services, and good mindset, aiming to avoid the pitfalls of subsidy-driven competition and industry homogenization [1][2][7]. Group 1: Strategic Shift - Dingdong Maicai announced its "4G" strategy to focus on product quality and differentiation rather than engaging in price wars and subsidy competition [1][7]. - The company has eliminated over 4,000 mediocre products in the past six months, increasing the proportion of quality product SKUs to 40% [6][7]. - The strategy emphasizes a return to the essence of products, with a focus on high-quality offerings that meet consumer demands for better taste, health, safety, and value [6][8]. Group 2: Financial Performance - Dingdong Maicai has achieved GAAP profitability for five consecutive quarters, validating its strategic approach in the current market environment [2]. - The company has reported significant growth in specific product categories, such as a 70% increase in transaction volume for Gobi vegetables and an 11.3% increase in user numbers for its premium black pork [8][15]. Group 3: Consumer Engagement - Approximately 30% of Dingdong Maicai's users are classified as "good users," contributing to 68.5% of total consumption and exhibiting a high repurchase rate of 94.5% [3][6]. - The company is focusing on health-oriented products, such as low GI foods, which have seen sales grow from under 1 million yuan in the first half of 2023 to nearly 60 million yuan in the same period of 2024 [9][13]. Group 4: Supply Chain and Innovation - Dingdong Maicai has developed a robust supply chain, with 574 fresh produce suppliers and 132 order-based vegetable suppliers, achieving a supplier base composition of 72% [13]. - The company utilizes a "digital brain" system to enhance product innovation and quality control, allowing for rapid market testing of new products within a week [14][15].