{"id":2430,"date":"2023-12-30T09:57:56","date_gmt":"2023-12-30T01:57:56","guid":{"rendered":"https:\/\/www.1ai.net\/?p=2430"},"modified":"2023-12-30T09:57:56","modified_gmt":"2023-12-30T01:57:56","slug":"2024%e5%b9%b4ai%e6%89%8b%e6%9c%ba%e5%87%ba%e8%b4%a7%e9%87%8f%e6%9c%89%e6%9c%9b%e8%be%be6000%e4%b8%87%e9%83%a8%ef%bc%8c%e4%bb%8d%e8%bf%9c%e8%b6%85ai%e4%b8%aa%e4%ba%ba%e7%94%b5%e8%84%91","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/2430.html","title":{"rendered":"AI smartphone shipments are expected to reach 60 million units in 2024, still far exceeding AI PC shipments"},"content":{"rendered":"<p>According to market research firm Canalys<span class=\"spamTxt\">up to date<\/span>Prediction, in 2024, the world<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%99%ba%e8%83%bd%e6%89%8b%e6%9c%ba\" title=\"[Sees articles with tags on smartphones]\" target=\"_blank\" >Smartphone<\/a>Of the total shipments, it is estimated that about 5% will be equipped with end-side AI computing capabilities, which is equivalent to 60 million units.<a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e6%89%8b%e6%9c%ba\" title=\"[SEES ARTICLES WITH [AI] LABELS]\" target=\"_blank\" >AI Phone<\/a>Industry insiders analyzed that the huge user scale, portability and complete application ecosystem of smartphones make them the most ideal landing platform for edge AI.<\/p>\n<p>Compared with PCs, it is not new for smartphones to run AI algorithms on chips such as image signal processors and neural network processing units. However, the emergence of large language models has prompted the industry to redefine what an &quot;AI phone&quot; is.<\/p>\n<p>According to Canalys analysis, the most basic requirement for an AI mobile phone is that the SoC needs to contain a dedicated unit that can accelerate AI tasks and can smoothly run various generative AI models on the terminal side, such as language models, image generation, etc. This poses a new challenge to the computing power of mobile phones.<\/p>\n<p class=\"article-content__img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2431\" title=\"202310270933190076_7-1\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2023\/12\/202310270933190076_7-1.jpg\" alt=\"202310270933190076_7-1\" width=\"1000\" height=\"666\" \/><\/p>\n<p>Source Note: The image is generated by AI, and the image is authorized by Midjourney<\/p>\n<p>The report pointed out that unlike other electronic products, smartphones have the advantage of the largest number of users. By 2023, the number of smartphone users worldwide may reach 5 billion. This provides a broad space for the popularization of AI applications. In addition, the portability and rich application characteristics of smartphones are also conducive to the innovative application and personalized recommendation of end-side AI. In environments such as smart homes, mobile phones can also serve as control centers to output personalized device automation operations.<\/p>\n<p>Industry insiders predict that edge AI will initially improve several application scenarios of smartphones. In terms of entertainment, AI can achieve better photo editing, video<span class=\"spamTxt\">Special Effects<\/span>In terms of communication, it can automatically answer calls and generate reply messages based on voice intonation. In terms of information acquisition, it can realize content retrieval in videos and intelligent recommendation of search results. For mobile phone manufacturers, these early AI functions may increase the attractiveness of their products.<\/p>","protected":false},"excerpt":{"rendered":"<p>According to the latest prediction of market research organization Canalys, of the total global smartphone shipments in 2024, it is expected that about 5% will be equipped with end-side AI computing capabilities, which is equivalent to 60 million AI phones. And industry analysts analyze that the huge user scale, high portability and perfect application ecology of smartphones make them the most ideal landing platform for end-side AI. Compared to PCs, smartphones running AI algorithms on chips such as image signal processors and neural network processing units is not new. But the emergence of large-scale language models has prompted the industry to redefine what an \"AI phone\" is. According to Canalys analysis, the most basic requirement for an AI phone is that the SoC needs to contain a dedicated unit that can accelerate AI tasks, and can smoothly run various types of generative AI models on the end side, such as<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[818,399],"collection":[],"class_list":["post-2430","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-399"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2430","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=2430"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/2430\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=2430"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=2430"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=2430"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=2430"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}