• Proceedings of the Korean Magnestics Society Conference
• /
• 2008.12a
• /
• pp.269.2-269.2
• /
• 2008

• Proceedings of the Korean Magnestics Society Conference
• /
• 2007.05a
• /
• pp.179.1-179.1
• /
• 2007

• Proceedings of the Korean Vacuum Society Conference
• /
• 2007.08a
• /
• pp.356-356
• /
• 2007

• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.246-251
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• 2022

As the number of data and devices explodes, centralized data processing and AI analysis have limitations due to the load on the network and cloud. On-device AI technology can provide intelligent services without overloading the network and cloud because the device itself performs AI models. Accordingly, the need for on-device AI technology is emerging. Many smartphones are equipped with On-Device AI technology to support the use of related functions. In this paper, we compare software tools that implement On-Device AI.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2009.08a
• /
• pp.216-216
• /
• 2009

• Proceedings of the Korean Vacuum Society Conference
• /
• 2009.02a
• /
• pp.114.2-114.2
• /
• 2009

• Proceedings of the Korean Vacuum Society Conference
• /
• 2009.02a
• /
• pp.115.1-115.1
• /
• 2009

• Proceedings of the Korean Magnestics Society Conference
• /
• 2005.12a
• /
• pp.192-193
• /
• 2005

• Proceedings of the Korean Magnestics Society Conference
• /
• 2005.12a
• /
• pp.209-209
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• 2005

• Proceedings of the Korean Magnestics Society Conference
• /
• 2005.12a
• /
• pp.116-116
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• 2005