Hyundai Motor Group’s Robotics Lab has successfully developed an on-device AI-powered chip, designed to run tasks locally on a device using AI. This chip, developed in collaboration with Korean AI semiconductor firm Deepx, is now ready for mass production. The announcement was made at the inaugural CES Foundry, a conference and exhibition focused on AI, blockchain, and quantum technologies.<\/p>\n
The processor operates with less than 5 watts of power and is capable of detecting, recognizing, and making decisions in real-time using the provided data. Notably, it does not require a cloud or network connection, making it suitable for use in areas with unstable or non-existent network connections, such as underground parking lots or logistics centers. As an on-device chip, it offers faster and more secure performance compared to chips that rely on cloud computing.<\/p>\n
According to Hyun Dong-jin, Hyundai Motor Group’s vice president and head of the Robotics Lab, the goal is to provide low-powered, efficient, and smart robots to more people, enabling them to become valuable and beneficial to users. The company aims to build a robust ‘physical AI’ infrastructure through the on-device AI chip, as stated in a press release. Previously, the lab co-developed an AI-powered controller used in the facial recognition system Facey and the DAL-e delivery robot.<\/p>\n
Experts in the field view this development as a significant step towards enhancing the capabilities of robots and AI-powered devices. The ability to operate without a cloud or network connection expands the potential applications of such technology, particularly in areas where connectivity is a challenge. Furthermore, the emphasis on building a sustainable robot ecosystem underscores Hyundai Motor Group’s commitment to innovation and user benefit.<\/p>\n","protected":false},"excerpt":{"rendered":"
Introduction to Hyundai Motor’s AI-Powered Chip Hyundai Motor Group’s Robotics Lab has successfully developed an on-device AI-powered chip, designed to run tasks locally on a device using AI. This chip, developed in collaboration with Korean AI semiconductor firm Deepx, is now ready for mass production. The announcement was made at the inaugural CES Foundry, a […]<\/p>\n","protected":false},"author":1,"featured_media":1584,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1523,1521,1520,1478,1522],"class_list":["post-1585","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai-powered-chip","tag-dal-e-delivery-robot","tag-hyundai-motor","tag-on-device-ai","tag-robotics-lab"],"_links":{"self":[{"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/posts\/1585","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/comments?post=1585"}],"version-history":[{"count":0,"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/posts\/1585\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/media\/1584"}],"wp:attachment":[{"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/media?parent=1585"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/categories?post=1585"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qloudtechnologies.com\/blog\/wp-json\/wp\/v2\/tags?post=1585"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}