
一 | (ECNS) -- Researchers at The University of Hong Kong (HKU) have developed a minimalist analogue content-addressable memory (CAM) chip that performs complex searches directly where data are stored, the university said Tuesday. When tasked with calculating the analogue Hamming distance for machine learning classification, the new analogue CAM performed the task approximately 108 (100 million) times faster than a standard CPU, scoring exceptionally high accuracy across multiple datasets, according to the university. The chip is designed to reduce the slow and energy-intensive transfer of data between memory and processors, known as the “von Neumann bottleneck.” Its architecture can compare incoming search data with all stored data simultaneously in a single step. Led by professor Li Can from the Department of Electrical and Computer Engineering of the Faculty of Engineering and the Centre for Advanced Semiconductors and Integrated Circuits (CASIC), the team built each analogue CAM cell with just two transistors, compared with up to 16 in a conventional digital CAM cell. The design reduces chip area and allows continuous analogue signals to be processed directly. Li said the team is exploring how the technology could support search mechanisms in large AI models. The findings were published in Nature Nanotechnology. (By Intern Yang Hongran, Zhang Dongfang)
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二 | 给数控机床装上“中国大脑” 近日,记者走进位于浙江温岭的浙江省高档数控机床技术创新中心,感受浙江传统产业向“新”而行的活力。 该中心聚焦数控机床数字化设计与优化、智能数控系统、高性能关键零部件三大核心技术方向,整合研发创新、精密检测、中试转化等功能模块,构建起全链条产业服务生态。

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五 | 两家企业本地化配套互补,是苏州激光产业链上游“芯片”与中游“激光器”紧密协同的缩影。从单点突破到链条协同,苏州光子产业的崛起,折射出中国光电子信息产业整体加速向前的态势。

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七 | 岚山区拥有4000万吨优质钢铁产能,是日照钢铁产业的核心承载区。当地持续优化发展环境,通过政策扶持、技改支持、精准服务,引导中小企业深耕细分领域,推动钢铁产业从原材料供应向高端零部件精深加工延伸。

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九 | 通过持续培育优质中小企业、完善产业链配套、壮大特色产业集群,岚山区正推进传统产业转型升级。 每天重复练习500次 这就是机器人的“毅力” 近日,记者走进安徽合肥市具身智能机器人数据采集训练场。在丰富的应用场景当中,机器人完成分拣、家政等各类任务。

十 | 通过机器人数据采集员一次次“手把手”教学,机器人AI能力不断进化,走向真实生产生活。
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