1.2026年我国潮玩产业总价值或突破1000亿元 兴趣消费是消费者基于个人兴趣爱好或情感需求产生的消费行为，核心是为"热爱"买单。随着90后、00 后成为消费主力军，露营装备、手办潮玩等新型兴趣消费正在快速崛起。记者了解到，除了一些各式各 样的玩偶手办，一些更为细分的赛道——娃衣、挂件，也正在年轻人当中悄然圈粉。《中国潮玩与动漫 产业发展报告》数据显示，2026年，中国潮玩产业总价值预计将达到1101亿元，年均增速超过20%。 点评：潮玩产业蓬勃发展，市场规模将迎千亿突破。 2.贾国龙：将回归一线，不再打造个人IP 西贝餐饮集团创始人贾国龙近日接受上海证券报专访时表示，将回归一线、聚焦主业，不再打造个人 IP。从2025年9月的西贝"预制菜风波"到近期人民日报"三评"西贝事件，贾国龙和罗永浩的线上之争逐 渐熄火。此前，贾国龙在网络上较为活跃，但此次贾国龙对上证报记者坦言："我觉得我不适合打造个 人IP，容易激动，表情过于丰富，容易让别人觉得'老贾又在吹牛'，而且有说教的成分。我原来不这么 觉得，但自己的视频看多了之后，发现确实'爹味儿'很重。我对做个人IP没信心，一点信心都没有。" 点评：西贝创始人贾国龙告 ...

Core Insights - A new "smart" chip developed by a collaborative research team, including the Politecnico di Milano, significantly reduces energy consumption while enhancing data processing speed, addressing long-standing computational energy bottlenecks [1][2] - The chip is based on a memory computing architecture, which minimizes data movement between memory and processor, leading to higher energy efficiency and faster processing speeds [1][2] Technology and Design - The chip features an integrated analog accelerator manufactured using standard CMOS technology, capable of solving both linear and nonlinear equations [1] - It includes two 64×64 programmable resistive memory arrays arranged in a grid format, utilizing static random-access memory technology combined with integrated resistors for multi-level programmability [1] Performance and Applications - The design allows complex computational tasks to be performed directly within the storage structure, eliminating the need to transfer data to external processors, thus significantly reducing computation latency [2] - Testing indicates that the chip achieves lower power consumption, shorter computation times, and a smaller chip area while maintaining accuracy comparable to traditional digital systems [2] Industry Collaboration - The project exemplifies international collaboration between academia and industry, with participation from universities and research teams across multiple countries, aiming to advance analog memory computing for high-performance and energy-efficient applications [2]

据最新《自然·电子学》杂志，包括意大利米兰理工大学在内的联合研究团队开发出一种新型"智能"芯 片，采用创新的架构设计，能够在显著降低能耗的同时大幅提升数据处理速度，有望突破长久以来的计 算能耗瓶颈。该研究是面向研发更紧凑、高效、可持续计算设备的重要进展，其在人工智能（AI）、 大规模数据处理、下一代无线通信乃至机器人、数据中心、5G/6G网络等领域具有广泛的应用前景。 ...