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Brochure 2020
The issue of deep learning in Artificial Intelligence (AI) has been discussed heatedly since ImageNet
was developed and used to host ILSVRC (ImageNet Large Scale Visual Recognition Challenge). AlphaGo
defeated South Korea’s world Go champion Lee Sedol in 2016, representing a massive leap in deep
learning research.
In 2017, the Academic Advisory Committee of IIS stated in its nal conclusions that "The Institute needs
an AI/Machine Learning group that is charged with the mission of innovation and research in the area
of arti cial intelligence, deep learning and data science; related activities exist in many current labs and
cross-lab synergy should be maximized." At that time, the Ministry of Science and Technology also realized
that the era of AI had come, so it quickly allocated funds to solicit AI projects in various elds from across
the country.
In response to the 2017 Academic Advisory Committee, IIS originally intended to set up a dedicated
AI lab. However, since MOST’s request for projects elicited excitement among so many of the PIs in IIS,
the institute decided to employ the existing expertise in each of its labs to apply for MOST’s AI projects.
Signi cantly, out of more than 600 project applications nationwide in the rst year, IIS was awarded four
out of only 66 funded projects.
The Multimedia Technology Lab is conducting three of those projects and the Language and Knowledge
Processing Lab is responsible for the other. In a second round of applications in 2019, the Language and
Knowledge Processing Lab was awarded an additional funded project. All ve funded projects have four-
year terms and their combined budget is USD$1.5 million per year. In the following pages, each project
reports on their progress to date (to March 2020).
29
The issue of deep learning in Artificial Intelligence (AI) has been discussed heatedly since ImageNet
was developed and used to host ILSVRC (ImageNet Large Scale Visual Recognition Challenge). AlphaGo
defeated South Korea’s world Go champion Lee Sedol in 2016, representing a massive leap in deep
learning research.
In 2017, the Academic Advisory Committee of IIS stated in its nal conclusions that "The Institute needs
an AI/Machine Learning group that is charged with the mission of innovation and research in the area
of arti cial intelligence, deep learning and data science; related activities exist in many current labs and
cross-lab synergy should be maximized." At that time, the Ministry of Science and Technology also realized
that the era of AI had come, so it quickly allocated funds to solicit AI projects in various elds from across
the country.
In response to the 2017 Academic Advisory Committee, IIS originally intended to set up a dedicated
AI lab. However, since MOST’s request for projects elicited excitement among so many of the PIs in IIS,
the institute decided to employ the existing expertise in each of its labs to apply for MOST’s AI projects.
Signi cantly, out of more than 600 project applications nationwide in the rst year, IIS was awarded four
out of only 66 funded projects.
The Multimedia Technology Lab is conducting three of those projects and the Language and Knowledge
Processing Lab is responsible for the other. In a second round of applications in 2019, the Language and
Knowledge Processing Lab was awarded an additional funded project. All ve funded projects have four-
year terms and their combined budget is USD$1.5 million per year. In the following pages, each project
reports on their progress to date (to March 2020).
29
