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HKU chip performs search task 100 million times faster than standard CPU_我的网站

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)                    。    　　8月24日电 据国家市场监管总局微信公众号消息，酱香型白酒是我国白酒核心特色品类。按照国家标准规定，酱香型白酒必须通过粮食固态发酵，严禁添加食用酒精。近日，市场监管总局发布《食品补充检验方法 酱香型白酒中掺杂食用酒精的筛查》(BJS202603)。　　该项筛查检验方法建立了全国酱香型白酒数据库，覆盖全国酱酒主产区100余家企业、300多款产品，覆盖面广、代表性强。方法依托原位电离—高分辨质谱检测技术，搭配化学计量学算法建立精准鉴别模型，检测速度快、判别准确率高，可实现批量样品快速筛查，为打击酱香型白酒掺杂掺假行为提供了坚实技术保障。　　下一步，各地市场监管部门将进一步加大生产、流通全链条监管执法力度，加快检验方法应用，严厉查处酱香型白酒违法添加行为，督促酒类生产经营单位严格落实食品安全主体责任，促进我国白酒产业高质量发展。

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