Tag: Deep learning
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Research Highlight
Decision-Level Fusion Method for Emotion Recognition using Multimodal Emotion Recognition Information
We confirmed which combination of features of multi-modal emotion recognition achieves the highest accuracy....read more
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Research Highlight
Research and Development of AI-powered Autonomous Cars in Seoul for Smart Cities
Professor Hyunchul Shim’s automotive driving research team participated in a technology demonstration organized by the Ministry of Land, Infrastructure and Transport, Korea. The event was held on Yeongdong boulevard adjacent to COEX, Seoul on June 17th. ...read more
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Research Highlight
Deep learning for accelerated ultrasound imaging
To accelerate US imaging systems, Prof Jong Chul Ye’s team designed a deep learning technique that improved acquisition speed without compromising the image quality....read more
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Research Highlight
Rapid Detection of Anthrax Spores using Artificial Intelligence and Holographic Microscopy
Combining holography with deep learning enables rapid optical screening of anthrax spores as well as other pathogens....read more
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291 Daehak-ro Yuseong-gu Daejeon, 34141, Republic of Korea
Partnered with KAIST Breakthroughs and KAIST Compass