Aims and Scope<\/strong><\/span><\/div>\n\u00a0<\/span><\/p>\nRecently, multimedia analysis and pattern recognition algorithms, especially deep neural networks have played a critical role in the emergence of commercial AI applications. Deep neural networks were successfully implemented thanks to the increased computational capacity of modern computing hardware. AI-enabled Hardware and System-on-Chip is a new generation of hardware custom built for pattern recognition and multimedia analysis applications. AI-enabled Hardware and System-on-Chip will emerge at both data centers and the edge. AI accelerators for many AI applications are required on hardware to enhance and enable simultaneous computations. AI-related chips rely on hybrid CPU and Accelerator like CPU-GPU, CPU-DSP, CPU-GPU-FPGA and CPU-ASIC will constitute a significant portion of future demand to obtain high performance.<\/span><\/div>\nThe scope of this session is limited to the following:<\/span><\/div>\n\n- AI for System-on-chip and LSI Design<\/span><\/li>\n
- Processing hardware accelerators-based SoC<\/span><\/li>\n
- High Speed and Low Power Circuits and Systems<\/span><\/li>\n
- Low-power hardware design for low-power IoT systems<\/span><\/li>\n
- Chip Security, Multiple Security Sensors and Intelligent Sensors for IoT Systems<\/span><\/li>\n
- Computer Architecture, Simulation and Modeling<\/span><\/li>\n
- Autonomous Mobile and Intelligent Robots<\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
Tr\u01b0\u1eddng \u0110H UIT t\u1ed5 ch\u1ee9c h\u1ed9i ngh\u1ecb The 5th International Conference on Multimedia Analysis and Pattern Recognition – MAPR 2022, c\u1ee5 th\u1ec3: The 5th International Conference on Multimedia Analysis and…<\/p>\n","protected":false},"author":3,"featured_media":32968,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[241],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/31974"}],"collection":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/comments?post=31974"}],"version-history":[{"count":1,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/31974\/revisions"}],"predecessor-version":[{"id":32981,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/posts\/31974\/revisions\/32981"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/media\/32968"}],"wp:attachment":[{"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/media?parent=31974"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/categories?post=31974"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gymadom.com\/wp-json\/wp\/v2\/tags?post=31974"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}