{"id":4414,"date":"2020-09-03T08:00:57","date_gmt":"2020-09-03T08:00:57","guid":{"rendered":"http:\/\/localhost:8080\/invisible-memory-part-3-semiconductor-memory-in-our-smart-cities\/"},"modified":"2026-06-14T18:26:37","modified_gmt":"2026-06-14T18:26:37","slug":"invisible-memory-part-3-semiconductor-memory-in-our-smart-cities","status":"publish","type":"post","link":"https:\/\/news.skhynix.com\/en\/invisible-memory-part-3-semiconductor-memory-in-our-smart-cities\/","title":{"rendered":"[Invisible Memory: Part.3] Semiconductor Memory in Our Smart Cities"},"content":{"rendered":"

The Invisible Memory series from SK hynix looks at the uses of semiconductor memory in our everyday lives \u2013 those seen and unseen \u2013 investigating the many invisible ways it enables the quick, convenient connectivity that fuels today\u2019s fast-paced world.<\/p>\n

We\u2019ve talked about how semiconductor memory connects our homes \u2013 running through our appliances, supporting our gaming systems and enabling our smart fitness equipment. But how does it connect our homes to other homes, and cities to other cities?<\/p>\n

Whether we realize it or not, the beating heart of modern life is powered by semiconductor memory. In cities around the world, memory-enabled technology like 5G connectivity, IoT capabilities, augmented reality (AR), virtual reality (VR), artificial intelligence (AI) and automotive tech keep our lives running at lightning speeds.<\/p>\n

The world is positioned to expand how AI products think and learn, to build networks of smart cities and hospitals through IoT\u2019s enhanced data depth, to help autonomous vehicles process information and make split-second decisions as they learn new roads and situations, to discover new worlds through augmented reality, and to lift communities out of the dark by bringing Big Data to light.<\/p>\n

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Beating Heart of Modern Life<\/h3>\n
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Today, the world runs on 5G. The 5th generation mobile network, 5G was designed to connect anyone \u2013 anywhere, any time \u2013 at ultra-fast speeds. Our smartphones, computing devices, smartwatches, and smart medicine machines all rely on 5G to receive and transmit information around the world at record speeds. Industries from transportation to healthcare to information processing benefit from the high performance and efficiency of the 5G network, and all of the technologies it enables.<\/p>\n

And behind all of these smart devices and machines is the need for memory. Generally speaking, more information transmitted means more information stored \u2013 and the more information stored, the greater the need for sophisticated memory systems.<\/p>\n

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\u25b2 Source : Pixinoo\/Shutterstock.com<\/p>\n

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For Heightened Security<\/h3>\n
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One of these memory-enabled technologies is facial recognition CCTV \u2013 which relies on memory to process and store the data from billions of unique faces. In China, two AI companies called Megvii<\/a> and Sensetime<\/a>* <\/sup> are providing face recognition AI technology to governments and police forces.<\/p>\n

Just recently, their technology was instrumental in catching a criminal in Nanchang, Jiangxi Province, China. The suspect was identified by concert security footage that was a match with a face in the country\u2019s surveillance database. In Malaysia, the police force has even begun to use this type of facial recognition technology in body cams to capture images of suspected criminals and quickly check them against the police database. According to E2 Technologies<\/a>* <\/sup>, these tools have helped reduce the crime rate in regions where they are used.<\/p>\n

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\u25b2 Source : Bear Robotics<\/p>\n

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Autonomous Goods and Services<\/h3>\n
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AI technologies have more light-hearted uses as well \u2013 especially in the worlds of hospitality and dining, where robots are now helping with everyday functions in hotels, restaurants and bars. At Amichi\u2019s* <\/sup>, a pizza restaurant in Mountain View, California, a self-driving robot named \u201cPenny\u201d is serving orders.<\/p>\n

And they\u2019re not alone \u2013 more and more American restaurants are using memory-embedded robots from simple food preparation to serving and washing dishes. Robots not only streamline the work of restaurant employees, but also reduce overall operating costs. According to The Spoon<\/a>, 2020 will be the year for \u2018food robots\u2019 to enter the market in earnest.<\/p>\n

Similary, as autonomous vehicles for the delivery are quickly approaching on the horizon, they require functions such as multi-camera vision processing and self-driving in order to monitor surroundings around the vehicle. Thus, ultra-huge computing processing has become necessary, so has semiconductor memories.<\/p>\n

In fact, over the last few years, and across many states in the US, autonomous vehicles for the delivery of food and goods have been approved for real-world testing from some of the top automakers and technology companies including General Motors, Ford, Toyota, Google\u2019s Waymo, and Uber, among many others. These companies have been partnering with grocery stores, restuarants and small businesses to help ease the problems of first\/last mile delivery.<\/p>\n

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\u25b2 Source : Nuro\u2019s blog site. Nuro R2 self-driving delivery vehicle in Houston, Texas<\/p>\n

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Technology startup Nuro* <\/sup> partnered with grocery giant, Kroger, to launch pilot cities in Scottsdale, AZ and Houston, TX, where they have been testing autonomous vehicle delivery for residents with its small toaster-shaped vehicles, called R2\u2019s. During the COVID-19 pandemic, the company has seen increased use as the company can safely deliver groceries to citizens and limit person-to-person contact.<\/p>\n

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Creating Memory for the Future<\/h3>\n
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As the world grows increasingly reliant on high-speed connection, demand for DRAM and NAND Flash memory solutions is higher than ever. And memory providers like SK hynix are innovating nonstop to keep up.<\/p>\n

These technologies \u2013 and the memory systems that support them \u2013 are leading the way towards the smart cities of tomorrow, and SK hynix is at the forefront of the movement towards the future of information technology.<\/p>\n

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* <\/sup>Blake Schmidt, \u201cHong Kong Police Already Have AI Tech That Can Recognize Faces\u201d, Bloomberg. (2019)
\n* <\/sup>Amanda Lentino, \u201cThis Chinese facial recognition start-up can identify a person in seconds\u201d, CNBC. (2019)
\n* <\/sup>Ahn Jung-rak, \u201cCooking is basic, serving and washing dishes\u2026 Robot wind blowing in an American restaurant\u201d, Hankyung. (2019)
\n* <\/sup>Dave Ferguson, \u201cIntroducing R2, Nuro\u2019s Next Generation Self-Driving Vehicle\u201d, Medium. (2020)<\/p>\n

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Puzzle:<\/h3>\n
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The Invisible Memory series from SK hynix looks at the uses of semiconductor memory in our everyday lives \u2013 those seen and unseen \u2013 investigating the many invisible ways it enables the quick, convenient connectivity that fuels today\u2019s fast-paced world. We\u2019ve talked about how semiconductor memory connects our homes \u2013 running through our appliances, supporting [\u2026]<\/p>\n","protected":false},"author":23,"featured_media":4407,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_migrated_source_id":5568,"footnotes":"","_members_access_role":[],"_members_access_error":""},"categories":[5],"tags":[1460,12,1499,972,1504,1505,890,1008,1506,1512],"class_list":["post-4414","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-and-ai","tag-5g","tag-ai","tag-ar","tag-automotive","tag-big-data","tag-invisible-memory","tag-iot","tag-semiconductor-memory","tag-smart-cities","tag-vr"],"acf":[],"_links":{"self":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts\/4414","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/comments?post=4414"}],"version-history":[{"count":2,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts\/4414\/revisions"}],"predecessor-version":[{"id":9169,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/posts\/4414\/revisions\/9169"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/media\/4407"}],"wp:attachment":[{"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/media?parent=4414"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/categories?post=4414"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news.skhynix.com\/en\/wp-json\/wp\/v2\/tags?post=4414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}