Energy & Green Tech
Medium- and heavy-duty vehicles (MHDVs) account for just 5% of vehicles on the road in the United States, yet they are responsible for 21% of transportation-related greenhouse gas emissions. Reducing MHDV emissions is vital ...
Apr 4, 2024
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Engineering
The development of the world's most performant neural network module for accurately extracting objects from aerial and satellite imagery is expected to have wide applications across various fields, according to DGIST and ...
Apr 22, 2024
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Business
Prof. Sang Hyun Park's research team in the Department of Robotics and Mechatronics Engineering at DGIST has developed a logical anomaly detection technology in collaboration with a team from Stanford University. This technology ...
Mar 29, 2024
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