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Professor Jung Awarded the Pople Medal by the APATCC
(Professor Yousung Jung)
Professor Yousung Jung of the Graduate School of EEWS won the Pople Medal from the Asia-Pacific Association of Theoretical & Computational Chemists (APATCC).
The Pople Medal has been awarded annually since 2007 to recognize young scholars in the fields of theoretical/computational chemistry in honor of Sir John Anthony Pople, who passed away in 2004. Dr. Pople was a British theoretical chemist and a Nobel laureate in 1998 for his development of computational methods in quantum chemistry.
The Pople Medal is awarded to scientists at or under the age of 45 in the Asia-Pacific region who have distinguished themselves through pioneering and important contributions.
Professor Jung was honored for his outstanding contributions to developing efficient electronic structure methods and their applications to energy materials discovery. He has published more than 120 papers in prestigious academic journals. He also has an h-index of 44, and has been cited more than 8,000 times.
2018.01.10 View 6249 -
One-Step Production of Aromatic Polyesters by E. coli Strains
KAIST systems metabolic engineers defined a novel strategy for microbial aromatic polyesters production fused with synthetic biology from renewable biomass. The team of Distinguished Professor Sang Yup Lee of the Department of Chemical and Biomolecular Engineering produced aromatic polyesters from Escherichia coli (E. coli) strains by applying microbial fermentation, employing direct microbial fermentation from renewable feedstock carbohydrates.
This is the first report to determine a platform strain of engineered E. coli capable of producing environmentally friendly aromatic polyesters. This engineered E. coli strain, if desired, has the potential to be used as a platform strain capable of producing various high-valued aromatic polyesters from renewable biomass. This research was published in Nature Communications on January 8.
Conventionally, aromatic polyesters boast solid strength and heat stability so that there has been a great deal of interest in fermentative production of aromatic polyesters from renewable non-food biomass, but without success.
However, aromatic polyesters are only made by feeding the cells with corresponding aromatic monomers as substrates, and have not been produced by direct fermentation from renewable feedstock carbohydrates such as glucose.
To address this issue, the team prescribed the detailed procedure for aromatic polyester production through identifying CoA-transferase that activates phenylalkanoates into their corresponding CoA derivatives. In this process, researchers employed metabolic engineering of E. coli to produce phenylalkanoates from glucose based on genome-scale metabolic flux analysis. In particular, the KAIST team made a modulation of gene expression to produce various aromatic polyesters having different monomer fractions.
The research team successfully produced aromatic polyesters, a non-natural polymer using the strategy that combines systems metabolic engineering and synthetic biology. They succeeded in biosynthesis of various kinds of aromatic polyesters through the system, thus proving the technical excellence of the environmentally friendly biosynthetic system of this research. Furthermore, his team also proved the potential of expanding the range of aromatic polyesters from renewable resources, which is expected to play an important role in the bio-plastic industry.
Professor Lee said, “An eco-friendly and sustainable chemical industry is the key global agenda every nation faces. We are making a research focus to a biochemical industry free from petroleum dependence, and conducting diverse research activities to address the issue. This novel technology we are presenting will serve as an opportunity to advance the biochemical industry moving forward.”
This work was supported by the Intelligent Synthetic Biology Center through the Global Frontier Project (2011-0031963) and also by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation of Korea.
Figure: Biosynthesis of aromatic polyesters by metabolically engineered E. coli.This schematic diagram shows the overall conceptualization of how metabolically engineered E. coli produced aromatic polyesters from glucose.
2018.01.09 View 6802 -
Ultra-Low Power Flexible Memory Using 2D Materials
(Professor Choi and Ph.D. candidate Jang)
KAIST research team led by Professor Sung-Yool Choi at School of Electrical Engineering and Professor Sung Gap Im at the Department of Chemical and Biomolecular Engineering developed high-density, ultra-low power, non-volatile, flexible memory technology using 2D materials. The team used ultrathin molybdenum disulfide (MoS2) with atomic-scale thickness as the channel material and high-performance polymeric insulator film as the tunneling dielectric material. This research was published on the cover of Advanced Functional Materials on November 17. KAIST graduate Myung Hun Woo, a researcher at Samsung Electronics and Ph.D. candidate Byung Chul Jang are first authors.
The surge of new technologies such as Internet of Things (IoT), Artificial Intelligence (AI), and cloud server led to the paradigm shift from processor-centric computing to memory-centric computing in the industry, as well as the increase in demand of wearable devices. This led to an increased need for high-density, ultra-low power, non-volatile flexible memory. In particular, ultrathin MoS2 as semiconductor material has been recently regarded as post-silicon material. This is due to its ultrathin thickness of atomic-scale which suppresses short channel effect observed in conventional silicon material, leading to advantages in high- density and low-power consumption. Further, this thickness allows the material to be flexible, and thus the material is applicable to wearable devices.
However, due to the dangling-bond free surface of MoS2 semiconductor material, it is difficult to deposit the thin insulator film to be uniform and stable over a large area via the conventional atomic layer deposition process. Further, the currently used solution process makes it difficult to deposit uniformly low dielectric constant (k) polymeric insulator film with sub-10 nm thickness on a large area, thus indicating that the memory device utilizing the conventional solution-processed polymer insulator film cannot be operated at low-operating voltage and is not compatible with photolithography.
The research team tried to overcome the hurdles and develop high-density, ultra-low power, non-volatile flexible memory by employing a low-temperature, solvent-free, and all-dry vapor phase technique named initiated chemical vapor deposition (iCVD) process. Using iCVD process, tunneling polymeric insulator film with 10 nm thickness was deposited uniformly on MoS2 semiconductor material without being restricted by the dangling bond-free surface of MoS2. The team observed that the newly developed MoS2-based non-volatile memory can be operated at low-voltage (around 10V), in contrast to the conventional MoS2-based non-volatile memory that requires over 20V.
Professor Choi said, “As the basis for the Fourth Industrial revolution technologies including AI and IoT, semiconductor device technology needs to have characteristics of low-power and flexibility, in clear contrast to conventional memory devices.” He continued, “This new technology is significant in developing source technology in terms of materials, processes, and devices to contribute to achieve these characteristics.”
This research was supported by the Global Frontier Center for Advanced Soft Electronics and the Creative Materials Discovery Program by funded the National Research Foundation of Korea of Ministry of Science and ICT.
( Figure 1. Cover of Advanced Functional Materials)
(Figure 2. Concept map for the developed non-volatile memory material and high-resolution transmission electron microscopy image for material cross-section )
2018.01.02 View 8030 -
President Shin Reaffirms Innovation Initiatives in New Year Speech
(President Shin and representatives of faculty, students, staff celebrate the New Year in a reception held on January 2 at the auditorium.)
The KAIST community gathered to celebrate a fresh start for the year 2018. At the ceremony, held in the auditorium on January 2, members of KAIST community reaffirmed their commitment to be the trailblazers of Korea and beyond through unwavering innovations.
President Sung-Chul Shin presented his new vision and plan in his New Year speech, which focused on innovation for enhancing institutional competitiveness and global visibility. He said that as you are the future of KAIST, KAIST is the future of Korea. KAIST’s vision for a better future will have a significant impact on national progress and beyond. He stressed that innovation in the five pillars of education, research, technology commercialization, globalization, and future strategy will further advance the excellence of KAIST.
At the ceremony, President Shin also presented the award for ‘the KAISTian of the Year’ to Professor YongKeun Park of the Department of Physics. The annual award recognizes a distinguished professor whose academic accomplishments made the most significant impact.
In his New Year speech, President Shin said that the year 2018 will provide an opportunity to take a leap forward for becoming a ‘Global Value Creative, World-Leading University. The Vision 2031 Committee endorsed the five innovation initiatives to fulfill KAIST’s long-term vision and will open its recommendations to the public on March 20.
Educational innovation tops the initiatives. President Shin explained that the future of Korea is in the hands of talented individuals in science and technology, emphasizing the need to nurture creative, transdisciplinary talents with the capacity to enhance the social value of science and technology.
To this end, KAIST will establish a new undergraduate non-departmental program for transdisciplinary education. This plan will eventually provide students with more options in choosing their major, as well as help students build a strong foundation in basic science and engineering and encourage multidisciplinary approaches.
For creating an innovative institutional research infrastructure, KAIST plans to build a Network of Excellence for the Fourth Industrial Revolution (NExFire) for convergence research. The plan of ‘Cross-Generational Collaborative Labs,’ will bring out a new collaboration platform by pairing up senior and junior faculty. President Shin said it will be a stepping stone to extend the spectrum of knowledge without any cessation.
For technology commercialization, KAIST will maximize its intellectual property and economic value by stimulating technology-invested companies and startups. Close cooperation with venture capitalists at home and abroad will further accelerate the commercialization drive at KAIST.
Saying that the globalization is no long an option but a necessity, he stressed KAIST will strengthen its efforts to established a bilingual campus. “KAIST will make every effort to create a more welcoming and comfortable atmosphere for the international community and their families. We will expand benefits to our international community, such as access to the KAIST Child Care Center and collaboration with the Taejon Christian International School (TCIS),” he said. President Shin added he will further expand global networks and partnerships this year, participating in a diverse range of international events at home and abroad for increasing global visibility.
He also said that well-designed future strategies will complete innovation initiatives. The Future Strategy Research Center will serve as a think tank for identifying future agendas, establishing strategies and advocating for them.
In addition to the five innovation initiatives, President Shin emphasized a new organizational culture that embraces inclusiveness and mutual respect among all of the members of KAIST.
“So far, the ideal qualifications expected of KAISTians have included creativity and a challenging spirit. From now on, we will nurture talents with a focus on the 3Cs: Creativity, Challenge, and Caring. I would like to make a campus in which all members care for each other to help attain mutual growth with warmth and respect," he said.
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2018.01.02 View 7813 -
Technology to Find Optimum Drug Target for Cancer Developed
(Professor Kwang-Hyun Cho (right) and lead author Dr. Minsoo Choi)
A KAIST research team led by Professor Kwang-Hyun Cho of the Department of Bio and Brain Engineering developed technology to find the optimum drug target according to the type of cancer cell. The team used systems biology to analyze molecular network dynamics that reflect genetic mutations in cancer cells and to predict drug response. The technology could contribute greatly to future anti-cancer drug development.
There are many types of genetic variations found in cancer cells, including gene mutations and copy number variations. These variations differ in cancer cells even within the same type of cancer, and thus the drug response varies cell by cell. Cancer researchers worked towards identifying frequently occurring genetic variations in cancer patients and, in particular, the mutations that can be used as an index for specific drugs. Previous studies focused on identifying a single genetic mutation or creating an analysis of the structural characteristics of a gene network. However, this approach was limited in its inability to explain the biological properties of cancer which are induced by various gene and protein interactions in cancer cells, which result in differences in drug response.
Gene mutations in cancer cells not only affect the function of the affected gene, but also other genes that interact with the mutated gene and proteins. As a consequence, one mutation could lead to changes in the dynamical properties of the molecular network. Therefore, the responses to anti-cancer drugs by cancer cells differ. The current treatment approach that ignores molecular network dynamics and targets a few cancer-related genes is only effective on a fraction of patients, while many other patients exhibit resistance to the drug.
Professor Cho’s team integrated a large-scale computer simulation using super-computing and cellular experiments to analyze changes in molecular network dynamics in cancer cells.
This led to development of technology to find the optimum drug target according to the type of cancer cells by predicting drug response. This technology was applied to the molecular network of known tumor suppressor p53. The team used large-scale cancer cell genomic data available from The Cancer Cell Line Encyclopedia (CCLE) to construct different molecular networks specific to the characteristics of genetic variations.
Perturbation analysis on drug response in each molecular network was used to quantify changes in cancer cells from drug response and similar networks were clustered. Then, computer simulations were used to analyze the synergetic effects in terms of efficacy and combination to predict the level of drug response. Based on the simulation results from various cancer cell lines including lung, breast, bone, skin, kidney, and ovary cancers were used in drug response experiments for compare analysis.
This technique can be applied in any molecular network to identify the optimum drug target for personalized medicine.
The research team suggests that the technology can analyze varying drug response due to the heterogeneity of cancer cells by considering the overall modulatory interactions rather than focusing only on a specific gene or protein. Further, the technology aids the prediction of causes of drug resistance and thus the identification of the optimum drug target to inhibit the resistance. This could be core source technology that can be used in drug repositioning, a process of applying existing drugs to new disease targets.
Professor Cho said, “Genetic variations in cancer cells are the cause of diverse drug response, but a complete analysis had not yet been made.” He continued, “Systems biology allowed the simulation of drug responses by cancer cell molecular networks to identify fundamental principles of drug response and optimum drug targets using a new conceptual approach.”
This research was published in Nature Communications on December 5 and was funded by Ministry of Science and ICT and National Research Foundation of Korea.
(Figure 1. Drug response prediction for each cancer cell type from computer simulation and cellular experiment verification for comparison)
(Figure 2. Drug response prediction based on cancer cell molecular network dynamics and clustering of cancer cells by their molecular networks)
(Figure 3. Identification of drug target for each cancer cell type by cellular molecular network analysis and establishment for personalized medicine strategy for each cancer patient)
2017.12.15 View 6434 -
A Glance at the 2017 KAIST Literary Awards Ceremony
Since KAIST is a university specializing in science and engineering, people may think that the students rarely engage in literary activities. But KAIST students also excel in writing literature.
The 23rd KAIST Literary Award Ceremony was held on December 14 on the KAIST main campus. The award was established in 1995 to encourage students’ creative activities and to promote literary attainment. It is open to all KAIST students from undergraduate to masters and PhD students. This year, 43 students submitted a total of 68 literary works in the genres of poetry, novel, critique, and scenario.
KAIST professors Dong Ju Kim, Bong Gwan Jun, and Yunjeong Jo from the School of Humanities & Social Sciences participated as judges for the awards and they were joined by writers from the 8th Endless Road Program who served as invited judges for the novels and scenarios.
The Endless Road Program is a KAIST project for supporting artists who are engaged in literary works including scenarios, novels, webtoons, and movies by providing residences and funds. Novelists Jin Young Choi and Hak Chan Kim participated as judges for the novels and a drama scriptwriter, Joo Kim, as a judge of the scenarios.
After thorough evaluation, four submissions were chosen as awardees.
Section
Award
Name
Poetry
Winner
Sung Gil Moon (PhD candidate from the College of Business)
Runner-up
Jong Ik Jeon (Undergraduate student)
Novel
Winner
Joo Hwan Kim
(Undergraduate from the Dept. of Chemical and Biomolecular Engineering)
Runner-up
-
Essay & Critique
Winner
-
Runner-up
Jung Joon Park
(PhD candidate from the Dept. of Bio and Brain Engineering)
Scenario
Winner
-
Runner-up
-
The literary works as well as a review of the awards will be published in the KAIST Times in 2018.
2017.12.15 View 6828 -
Distinguished Professor Sang Yup Lee Named NAI Fellow
(Distinguished Professor Sang Yup Lee)
Distinguished Professor Sang Yup Lee of the Department of Chemical and Biomolecular Engineering was named to the National Academy of Inventors in the US. He is the first Korean scholar ever elected as a NAI fellow.
The NAI is a non-profit member organization with over 4,000 individual inventors and fellows spanning more than 250 institutions worldwide. It is comprised of universities as well as governmental and non-profit research institutes. The academy was founded in 2010 to recognize and encourage inventors with patents from the US Patent and Trademark Office. So far, 575 fellows from 229 institutions have been elected.
The academy said Professor Lee has been recognized for fellowship induction as he has demonstrated a highly prolific spirit of innovation in creating or facilitating outstanding inventions that have made a tangible impact on quality of life, economic development, and the welfare of society.
Distinguished Professor Lee, a pioneering researcher and scholar in the field of systems metabolic engineering, was ranked in the top 1% of highly cited researchers (HCR) this year. Over the past 11 years, he published more than 130,000 articles in prestigious journals around the world. He has been cited more than 34,000 times since he started working at KAIST in 1994.
He is also the first Korean ever elected to both the National Academy of Sciences (NAS) and the National Academy of Engineering (NAE) in the US, becoming the one of 13 foreign scholars in the world holding two prestigious institutions’ fellowships.
Dr. Lee is currently the dean of KAIST Institutes, the world-leading institute for multi and interdisciplinary research. He is also serving as co-chair of the Global Council on Biotechnology and is a member of the Global Future Council on the Fourth Industrial Revolution at the World Economic Forum.
2017.12.13 View 7255 -
CLKIP Bearing Fruit in China
The Chongqing Liangjiang KAIST International Program (CLKIP) is rapidly gaining steam in China. CLKIP, an educational program operated in Chongqing internationally by KAIST since 2015, offers two majors, Electronic Information Engineering and Computer Science and Technology, applying the same curriculum as at KAIST.
To operate the program, KAIST assigns professors from the School of Electrical Engineering and the School of Computing to the program every year. They are in charge of one-third of the major courses, and transfer KAIST’s educational curriculum and know-how.
A total of 13 professors from Chongqing University of Technology (CQUT) have received or are receiving training on advanced education methodologies and technical know-how, including an on and offline integrated learning program, called Education 4.0 and large-scale internet open learning.As CLKIP is gaining in popularity, the number of students for its undergraduate courses keeps increasing, from 66 in 2015 to 172 in 2016 and 200 students in 2017, achieving the student volume for enrollment annually.
CLKIP selected seven exchange undergraduate students and five dual-degree students this fall, and they are currently studying in KAIST for either one semester or one full year.
CLKIP is located in Chongqing, one of the major direct-controlled municipalities and a focal point for notable government projects. The Korea-China industrial zone is also located in this area.
Considering its location, CLKIP is more than just an international programs for educational cooperation. The program will provide opportunities to cooperate with Korean enterprises including Hyundai, SK Hynix, LG Chem and Hankook Tire. While cooperating in research and development as well as technical assistance, KAIST hopes that these enterprises will play a bridging role for KAIST alumni entering the Chinese market.
President Sung-Chul Shin said, “The success of CLKIP shows that KAIST programs for fostering future manpower and developing cutting-edge technologies do work in other countries. Based on this case, KAST will put more effort into transferring our innovative education systems abroad. We are also pushing ahead to establish a joint institute between KAIST and CQUT by 2018, which will become a foundation for facilitating the entry of KAIST’s cutting-edge technologies into the Chinese market.”
“KAIST aims to become an entrepreneurial university that creates value through technology commercialization. In this sense, KAIST plans to transfer advanced technologies to domestic and international companies located in the Liangjiang district,” he added.
2017.12.12 View 9406 -
A New Spin Current Generating Material Developed
(Professor Park(left) and Ph.D. candidate Kim)
Magnetic random-access memory (MRAM) is a non-volatile device made of thin magnetic film that can maintain information without an external power supply, in contrast to conventional silicon-based semiconductor memory. It also has the potential for high-density integration and high-speed operation.
The operation of MRAM involves the control of the magnetization direction by exerting spin current-induced torque on a magnetic material. Spin current is generated using electricity in conventional MRAM, but this study developed materials technology that generates spin current using heat.
A KAIST research team led by Professor Byong-Guk Park of the Department of Materials Science and Engineering developed a material that generates spin current from heat, which can be utilized for a new operation principle for MRAM.
There have been theoretical reports on the spin Nernst effect, the phenomenon of the thermal generation of spin current, but is yet to have been experimentally proven due to technological limitations. However, the research team introduced a spin Nernst magnetoresistance measurement method using tungsten (W) and platinum (Pt) with high spin orbit coupling which allows for the experimental identification of the spin Nernst effect. They also demonstrated that the efficiency of spin current generation from heat is similar to that of spin current generated from electricity.
Professor Park said, “This research has great significance in experimentally proving spin current generation from heat, a new physical phenomenon. We aim to develop the technology as a new operational method for MRAM through further research. This can lower power consumption, and is expected to contribute to the advancement of electronics requiring low power requirement such as wearable, mobile, and IOT devices”.
This research was conducted as a joint research project with Professor Kyung-Jin Lee at Korea University and Professor Jong-Ryul Jeong at Chungnam National University. It was published in Nature Communications online on November 9 titled “Observation of transverse spin Nernst magnetoresistance induced by thermal spin current in ferromagnet/non-magnet bilayers.” Ph.D. candidate Dong-Jun Kim at KAIST is the first author. This research was funded by the Ministry of Science and ICT.
(Schematic diagram of spin Nernst magnetoresistance)
(Research result of new spin current generating materials)
2017.12.08 View 7275 -
Professor Dong Ho Cho Awarded at the Haedong Conference 2017
Professor Dong Ho Cho of the School of Electrical Engineering at KAIST received an award at the 13th Haedong Conference 2017 in Seoul on the first of December.
The Korean Institute of Communications and Information Sciences recognized Professor Cho for his significant contributions in the field of mobile communication networks. He has carried out groundbreaking research on mobile systems, including architecture, protocols, algorithms, optimization, and efficiency analysis.
As a result, he has produced 73 papers in renowned international journals, 138 papers at international conferences, and filed 52 international patents and 121 domestic patents. In addition, he transferred 14 of the patents he filed to Korean and international companies.
2017.12.07 View 5231 -
Expanding Gas Storage Capacity of Nanoporous Materials
A KAIST research team led by Professor Jihan Kim of the Department of Chemical and Biomolecular Engineering has successfully proposed a rational defect engineering methodology that can greatly enhance the gas storage capacity of nanoporous materials. The team conducted a high-throughput computational screening of a large experimental metal-organic framework database to identify 13 candidate materials that could experience significant methane uptake enhancement with only a small proportion of linker vacancy defects.
This research was published online on November 16 in Nature Communications, with M.S. candidate Sanggyu Chong from KAIST as the first author and post-doctorate researcher Günther Thiele from the Department of Chemistry at UC Berkeley as a contributing author.
Metal-organic frameworks, hereinafter MOF, are crystalline nanoporous materials that are comprised of metal clusters and organic linkers continuously bound together by coordination bonds. Due to their ultrahigh surface areas and pore volumes, they have been widely studied for various energy and environment applications.
Similar to other crystalline materials, MOFs are never perfectly crystalline and are likely to contain several different types of defects within their crystalline structures. Among these defects, linker vacancy defects, or the random absence of linker vacancies in their designated bonding positions, are known to be controllable by practicing careful control over the synthesis conditions.
The research team combined the concepts of rational defect engineering over the linker vacancy defects and the potential presence of inaccessible pores within MOFs to propose a methodology where controlled the introduction of linker vacancy defects could lead to a dramatic enhancement in gas adsorption and storage capacities.
The study utilized a Graphic Processing Unit (GPU) code developed by Professor Kim in a high-throughput computational screening of 12,000 experimentally synthesized MOFs to identify the structures with significant amounts of pores that were inaccessible for methane. In determining the presence of inaccessible pores, a flood-fill algorithm was performed over the energy-low regions of the structure, which is the same algorithm used for filling an area with color in Microsoft Paint.
For the MOFs with significant amounts of inaccessible pores, as determined from the screening, the research team emulated linker vacancy defects in their crystalline structures so that the previously inaccessible pores would be newly merged into the main adsorption channel with the introduction of defects for additional surface area and pore volume available for adsorption. The research team successfully identified 13 structures that would experience up to a 55.56% increase in their methane uptake with less than 8.33% of the linker vacancy defects.
The research team believes that this rational defect engineering scheme can be further utilized for many other applications in areas such as selective adsorption of an adsorbate from a gas mixture and the semi-permanent capture of gas molecules.
This research was conducted with the support of the Mid-career Research Program of the National Research Foundation of Korea.
Figure1. A diagram for flood fill algorithm and example of identification of inaccessible regions within the MOFs, using the flood fill algorithm
Figure2. Methane energy contours before and after detect introduction
2017.12.04 View 7179 -
CBNU Wins the First AI World Cup 2017
KAIST hosted the first AI World Cup 2017. A total of 26 teams, comprised of Korean undergraduates or graduates, participated in AI Soccer, AI Commentator, and AI Reporter competitions.
On the first of December, the final tournament for AI Soccer was held in the KI Building. More than 200 people came to watch the first AI soccer match based on the Deep-Q Network Learning. The games were commentated by two KAIST students who humorously interpreted the games, catching people’s attention.
In AI Soccer, 18 teams participated, and KAIST BML (KAIST), AIM (KAIST), WISRL (KAIST), and AR Lab (Chonbuk National University) made it to the final four. Each team had its own unique style and strategy.
After some fierce contests, the win went to AR Lab, which showed fearless attacks throughout the game. Having no goalkeeper, AR Lab focused on attacking. According to the team, instead of training individual players, they concentrated on training a manager that directed the players, giving them a choice when to attack and defend.
(AR Lab from Chonbuk National University, the winning team of AI Soccer tournament)
Different from humans playing soccer, it was interesting to see how AI robots self-improved their movements while playing the games.
For AI Commentators, judges looked for a team with the most accuracy, forecasting ability, and fluency. Four teams competed, and the Yally team won the title.
For AI Reporters, which required informativeness and reliability, four teams participated, and the prize went to a team, named Deep CMT (KAIST).
Although this year’s games only included domestic universities, KAIST plans to extend participation to university students from around the world in the future, and hopes that the AI World Cup 2017 will become the foundation for launching the next games on an international level.
2017.12.04 View 4662