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Commencement Ceremony Honors the Class of 2022
Third online commencement ceremony since the pandemic outbreak celebrates 2741 graduates The 2022 commencement ceremony convened online on February 18 to celebrate and award degrees to the Class of 2022. The graduating class of 2022 included 663 PhDs, 1,383 Masters, and 695 Bachelors. The limited number of attendees included 86 graduate representatives and approximately 20 faculty members in senior leadership, as well as Korea’s Minister of Science and ICT Hyesook Lim. The ceremony was livestreamed on KAIST’s YouTube channel. Valedictorian Ji-Young Lee from the Department of Physics received the Minister of Science and ICT’s Award. Yu-Jin Bang from the School of Business and Technology Management was the Awardee of the Chairman of the KAIST Board of Trustees and the KAIST Presidential Awardee was Jong-Hwan Lee from the Department of Mathematical Sciences. KAIST conferred honorary doctorates to Honorary Chairman Jae-Chul Kim of Dongwon Group and Chairman Sung-Hwan Chang of Samsung Brush. Chairman Kim, whose donation funded the establishment of the Kim Jae-Chul Graduate School of AI, was awarded an honorary doctorate of science technology. Chairman Chang was awarded an honorary doctorate of business administration in recognition of his funding in the fields of medical science and engineering at KAIST. This year’s undergraduate commencement speaker was Hye-Lin Park from the School of Computing. She has severe cerebral palsy and was the first student admitted to KAIST with a severe physical handicap. “I loved mathematics and wanted to become a mathematician. When I learned programming in my second year, I was so mesmerized by it that I transferred to the School of Computing,” said Park, who plans to continue studying programming languages in graduate school at KAIST. “I spent my entire life of 24 years in this beautiful wheelchair. Without the support and help of my parents, friends, and my special teachers who helped me move and study at the campus, I would not have made it this far,” said Park. For easier access to classrooms and facilities, KAIST started to remodel its facilities to make the entrance of buildings more wheelchair-friendly. Park made many suggestions to the Office of Student Life and the Facilities Management Office on how to ease mobility for handicapped people on campus. The physical education course that was required for graduation was also revised to stipulate exceptions. Minister Lim stressed the role of young scientists and researchers in these times of digital transformation dominated by AI and the metaverse. She encouraged the graduates to carry out their dreams with warm hearts and challenging spirits. KAIST President Kwang Hyung Lee also stressed the power of dreams, calling for graduates to dream big even in times of uncertainty. “Humanity stands at an inflection point in history. The fourth industrial revolution and outbreak of Covid-19 have unfolded the grand global transformation. Although the future gives us new opportunities, it also comes with anxiety regarding the uncertainties ahead.” “Dreams make your heart race and push us to live life to the fullest. Dreams will help you keep moving forward even in the face of adversity,” he said.
2022.02.18
View 5330
Five Projects Ranked in the Top 100 for National R&D Excellence
Five KAIST research projects were selected as the 2021 Top 100 for National R&D Excellence by the Ministry of Science and ICT and the Korea Institute of Science & Technology Evaluation and Planning. The five projects are:-The development of E. coli that proliferates with only formic acid and carbon dioxide by Distinguished Professor Sang Yup Lee from the Department of Chemical and Biomolecular Engineering -An original reverse aging technology that restores an old human skin cell into a younger one by Professor Kwang-Hyun Cho from the Department of Bio and Brain Engineering-The development of next-generation high-efficiency perovskite-silicon tandem solar cells by Professor Byungha Shin from the Department of Materials Science and Engineering-Research on the effects of ultrafine dust in the atmosphere has on energy consumption by Professor Jiyong Eom from the School of Business and Technology Management-Research on a molecular trigger that controls the phase transformation of bio materials by Professor Myungchul Kim from the Department of Bio and Brain Engineering Started in 2006, an Evaluation Committee composed of experts in industries, universities, and research institutes has made the preliminary selections of the most outstanding research projects based on their significance as a scientific and technological development and their socioeconomic effects. The finalists went through an open public evaluation. The final 100 studies are from six fields: 18 from mechanics & materials, 26 from biology & marine sciences, 19 from ICT & electronics, 10 from interdisciplinary research, and nine from natural science and infrastructure. The selected 100 studies will receive a certificate and an award plaque from the minister of MSIT as well as additional points for business and institutional evaluations according to appropriate regulations, and the selected researchers will be strongly recommended as candidates for national meritorious awards. In particular, to help the 100 selected research projects become more accessible for the general public, their main contents will be provided in a free e-book ‘The Top 100 for National R&D Excellence of 2021’ that will be available from online booksellers.
2022.02.17
View 6125
President Lee Presents Plans to Nurture Next-Generation Talents
President Lee stressed that nurturing medical scientists, semiconductor R&D personnel, startup entrepreneurs, and global innovators are key missions he will continue to pursue during a news conference KAIST President Kwang Hyung Lee said that nurturing medical scientists, semiconductor R&D personnel, startup entrepreneurs, and global innovators are key missions he will continue to pursue during an online news conference marking the 1st anniversary of him becoming the president on February 15. He said that nurturing physician-scientists is the most critical mission for KAIST to help the nation create a new growth engine. He said KAIST will help the nation drive the bio-industry and provide medical science resources for the nation’s health sector. To this end, he said that KAIST will open its Medical Science and Technology School by 2026. “We plan to expand the current Graduate School of Medical Science and Engineering into a new Medical Science and Technology School that will focus entirely on a condensed MD-PhD course converging the fields of AI, bio, and physics,” he said. The school aims to foster medical scientists whose research results will eventually be commercialized. He said that the university is now discussing revisions to related laws and regulations with the government and other universities. To supply human resources to the semiconductor industry, President Lee said the university will add a campus in Pyongtaek City that will serve as an advanced convergence research hub in the field of next generation semiconductors in collaboration with Samsung Electronics and the city of Pyongtaek. The three-stage opening plan projected the final opening of the campus by 2036. During the first stage, which will be completed by 2026, it will construct the campus infrastructure in Pyongtaek city where Samsung Semiconductors runs two massive semiconductor complexes. By 2031, it plans to launch the open research platform including a future cities research center and future vehicles research center. The campus will open the global industrial collaboration cluster hub by 2036. In the global arena, President Lee said he is working to open the New York campus with stakeholders in the United States. He announced the plan last December that was endorsed by New York-based entrepreneur Hee-Nam Bae, the chairman of Big Continent Inc. President Lee and Chairman Lee signed an MOU for the funding to open the campus in New York. “We are discussing how to facilitate the plan and best accommodate the interests and potential of our students. Many ideas and plans are on the table and we think it will take longer than expected to finalize the plan,” explained President Lee. However, he added that the basic idea is to offer art tech and health technology programs as well as an AI-based finance MBA at the New York campus, in addition to it serving as the startup accelerator of KAIST. President Lee stressed the importance of technology commercialization when successfully launching KAIST Holdings last month to help spinoffs of KAIST labs accelerate their end results. He said that KAIST Holdings will build a virtuous supporting system to commercialize the technology startups coming from KAIST. “We plan to list at least 10 KAIST startups on the KOSDAQ and two on the NASDAQ by 2031. KAIST Holdings also aims to nurture companies valued at a total of one billion KRW and earn 100 billion KRW in technology fees by 2031.
2022.02.17
View 6014
Label-Free Multiplexed Microtomography of Endogenous Subcellular Dynamics Using Deep Learning
AI-based holographic microscopy allows molecular imaging without introducing exogenous labeling agents A research team upgraded the 3D microtomography observing dynamics of label-free live cells in multiplexed fluorescence imaging. The AI-powered 3D holotomographic microscopy extracts various molecular information from live unlabeled biological cells in real time without exogenous labeling or staining agents. Professor YongKeum Park’s team and the startup Tomocube encoded 3D refractive index tomograms using the refractive index as a means of measurement. Then they decoded the information with a deep learning-based model that infers multiple 3D fluorescence tomograms from the refractive index measurements of the corresponding subcellular targets, thereby achieving multiplexed micro tomography. This study was reported in Nature Cell Biology online on December 7, 2021. Fluorescence microscopy is the most widely used optical microscopy technique due to its high biochemical specificity. However, it needs to genetically manipulate or to stain cells with fluorescent labels in order to express fluorescent proteins. These labeling processes inevitably affect the intrinsic physiology of cells. It also has challenges in long-term measuring due to photobleaching and phototoxicity. The overlapped spectra of multiplexed fluorescence signals also hinder the viewing of various structures at the same time. More critically, it took several hours to observe the cells after preparing them. 3D holographic microscopy, also known as holotomography, is providing new ways to quantitatively image live cells without pretreatments such as staining. Holotomography can accurately and quickly measure the morphological and structural information of cells, but only provides limited biochemical and molecular information. The 'AI microscope' created in this process takes advantage of the features of both holographic microscopy and fluorescence microscopy. That is, a specific image from a fluorescence microscope can be obtained without a fluorescent label. Therefore, the microscope can observe many types of cellular structures in their natural state in 3D and at the same time as fast as one millisecond, and long-term measurements over several days are also possible. The Tomocube-KAIST team showed that fluorescence images can be directly and precisely predicted from holotomographic images in various cells and conditions. Using the quantitative relationship between the spatial distribution of the refractive index found by AI and the major structures in cells, it was possible to decipher the spatial distribution of the refractive index. And surprisingly, it confirmed that this relationship is constant regardless of cell type. Professor Park said, “We were able to develop a new concept microscope that combines the advantages of several microscopes with the multidisciplinary research of AI, optics, and biology. It will be immediately applicable for new types of cells not included in the existing data and is expected to be widely applicable for various biological and medical research.” When comparing the molecular image information extracted by AI with the molecular image information physically obtained by fluorescence staining in 3D space, it showed a 97% or more conformity, which is a level that is difficult to distinguish with the naked eye. “Compared to the sub-60% accuracy of the fluorescence information extracted from the model developed by the Google AI team, it showed significantly higher performance,” Professor Park added. This work was supported by the KAIST Up program, the BK21+ program, Tomocube, the National Research Foundation of Korea, and the Ministry of Science and ICT, and the Ministry of Health & Welfare. -Publication Hyun-seok Min, Won-Do Heo, YongKeun Park, et al. “Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning,” Nature Cell Biology (doi.org/10.1038/s41556-021-00802-x) published online December 07 2021. -Profile Professor YongKeun Park Biomedical Optics Laboratory Department of Physics KAIST
2022.02.09
View 6051
Thermal Superconductor Lab Becomes the 7th Cross-Generation Collaborative Lab
The Thermal Superconductor Lab led by Senior Professor Sung Jin Kim from the Department of Mechanical Engineering will team up with Junior Professor Youngsuk Nam to develop next-generation superconductors. The two professor team was selected as the 7th Cross-Generation Collaborative Lab last week and will sustain the academic legacy of Professor Kim’s three decades of research on superconductors. The team will continue to develop thin, next-generation superconductors that carry super thermal conductivity using phase transition control technology and thin film packaging. Thin-filmed, next-generation superconductors can be used in various high-temperature flexible electronic devices. The superconductors built inside of the semiconductor device packages will also be used for managing the low-powered but high-performance temperatures of semiconductor and electronic equipment. Professor Kim said, “I am very pleased that my research, know-how, and knowledge from over 30 years of work will continue through the Cross-Generation Collaborative Lab system with Professor Nam. We will spare no effort to advance superconductor technology and play a part in KAIST leading global technology fields.” Junior Professor Nam also stressed that the team is excited to continue its research on crucial technology for managing the temperatures of semiconductors and other electronic equipment. KAIST started this innovative research system in 2018, and in 2021 it established the steering committee to select new labs based on: originality, differentiation, and excellence; academic, social, economic impact; the urgency of cross-generation research; the senior professor’s academic excellence and international reputation; and the senior professor’s research vision. Selected labs receive 500 million KRW in research funding over five years.
2022.01.27
View 3425
AI Light-Field Camera Reads 3D Facial Expressions
Machine-learned, light-field camera reads facial expressions from high-contrast illumination invariant 3D facial images A joint research team led by Professors Ki-Hun Jeong and Doheon Lee from the KAIST Department of Bio and Brain Engineering reported the development of a technique for facial expression detection by merging near-infrared light-field camera techniques with artificial intelligence (AI) technology. Unlike a conventional camera, the light-field camera contains micro-lens arrays in front of the image sensor, which makes the camera small enough to fit into a smart phone, while allowing it to acquire the spatial and directional information of the light with a single shot. The technique has received attention as it can reconstruct images in a variety of ways including multi-views, refocusing, and 3D image acquisition, giving rise to many potential applications. However, the optical crosstalk between shadows caused by external light sources in the environment and the micro-lens has limited existing light-field cameras from being able to provide accurate image contrast and 3D reconstruction. The joint research team applied a vertical-cavity surface-emitting laser (VCSEL) in the near-IR range to stabilize the accuracy of 3D image reconstruction that previously depended on environmental light. When an external light source is shone on a face at 0-, 30-, and 60-degree angles, the light field camera reduces 54% of image reconstruction errors. Additionally, by inserting a light-absorbing layer for visible and near-IR wavelengths between the micro-lens arrays, the team could minimize optical crosstalk while increasing the image contrast by 2.1 times. Through this technique, the team could overcome the limitations of existing light-field cameras and was able to develop their NIR-based light-field camera (NIR-LFC), optimized for the 3D image reconstruction of facial expressions. Using the NIR-LFC, the team acquired high-quality 3D reconstruction images of facial expressions expressing various emotions regardless of the lighting conditions of the surrounding environment. The facial expressions in the acquired 3D images were distinguished through machine learning with an average of 85% accuracy – a statistically significant figure compared to when 2D images were used. Furthermore, by calculating the interdependency of distance information that varies with facial expression in 3D images, the team could identify the information a light-field camera utilizes to distinguish human expressions. Professor Ki-Hun Jeong said, “The sub-miniature light-field camera developed by the research team has the potential to become the new platform to quantitatively analyze the facial expressions and emotions of humans.” To highlight the significance of this research, he added, “It could be applied in various fields including mobile healthcare, field diagnosis, social cognition, and human-machine interactions.” This research was published in Advanced Intelligent Systems online on December 16, under the title, “Machine-Learned Light-field Camera that Reads Facial Expression from High-Contrast and Illumination Invariant 3D Facial Images.” This research was funded by the Ministry of Science and ICT and the Ministry of Trade, Industry and Energy. -Publication“Machine-learned light-field camera that reads fascial expression from high-contrast and illumination invariant 3D facial images,” Sang-In Bae, Sangyeon Lee, Jae-Myeong Kwon, Hyun-Kyung Kim. Kyung-Won Jang, Doheon Lee, Ki-Hun Jeong, Advanced Intelligent Systems, December 16, 2021 (doi.org/10.1002/aisy.202100182) ProfileProfessor Ki-Hun JeongBiophotonic LaboratoryDepartment of Bio and Brain EngineeringKAIST Professor Doheon LeeDepartment of Bio and Brain EngineeringKAIST
2022.01.21
View 7613
Seven Faculty Members Elected to Join the National Academy of Engineering of Korea
< Clockwise from top left: Professor Doo-Hwan Bae, Professor Seung Seob Lee, Professor Kyung Cheol Choi, Professor JaeYong Choung > Seven KAIST faculty members have been elected as National Academy of Engineering of Korea (NAEK) members and associate members. NAEK, the most prestigious engineering society in Korea, elects new members with a minimum of 15 years of experience in engineering in academia and business every year. In 2022, 24 members were newly elected from academia, including four KAIST faculty members: Professor Doo-Hwan Bae from the SW Education Center, KAIST Provost and Executive Vice President Seung Seob Lee, Professor JaeYong Choung from the School of Business and Technology Management, and Professor Kyung Cheol Choi of the School of Electrical Engineering. In the business sector, 21 members were elected as members in business, including Vice Chairman Jong-hee Han of Samsung Electronics, CEO Hyeon-Mo Ku of KT, President Sang-Ryul Lee of the Korea Aerospace Research Institute, President Kyo Won Jin of SK Hynix, CEO Eunkang Song of Capstone Partners, and Executive Vice President Se-hoon Kim of Hyundai Motor Company. Among the newly elected 40 associate members from academia, three KAIST professors were listed: Professor Sukyoung Ryu from the School of Computing, Professor Joongmyeon Bae from the Department of Mechanical Engineering, and Professor EunAe Cho from the Department of Materials Science and Engineering. Another 44 members were elected as associate members in business, including Vice Chairman Hag-Dong Kim of POSCO, President Seong-Hyeon Cho of Mando Corp, President Siyoung Choi of Samsung Electronics, President Joo Sun Choi of Samsung Display, and Chairman Byung-Gyu Chang of Krafton. NAEK evaluates candidates not only on their academic achievements, but on various other criteria including technological achievements, patents, the nurturing of talents, and contributions to the advancements of the industry. Candidates are then elected through written ballots by the members of NAEK. There are now 294 members and 360 associate members of NAEK.
2022.01.14
View 3887
Perigee-KAIST Rocket Research Center Launches Scientific Rocket
Undergraduate startup Perigree Aerospace develops suborbital rocket called Blue Whale 0.1 On December 29, Perigee Aerospace, an undergraduate startup, launched a test rocket with a length of 3.2 m, a diameter of 19 cm, and a weight of 51 kg, using ethanol and liquid oxygen as fuel. The launch took place off Jeju Island. It was aimed at building experience and checking the combustion of a liquid propulsion engine and the performance of pre-set flight and trajectory, communication, and navigation devices. It was also one of the projects marking the 50th anniversary of KAIST in 2021. However, after flying for several seconds, the rocket lost its track due to a gust of wind that activated the rocket’s automatic flight suspension system. "At the moment the rocket took off, there was a much stronger gust than expected," Dong-Yoon Shin, CEO of Perigee said. "The wind sent it flying off course and the automatic flight suspension system stopped its engine." However, Shin was not disappointed, saying the launch, which was conducted in collaboration with Perigee-KAIST Rocket Research Center provided a good experience. "Some people say that Blue Whale 0.1 is like a toy because of its small size. Of course, it's much smaller than the rockets I’ve dreamed of, but like other rockets, it has all the technology needed for launch," said Shin, who established his company in 2018 as a KAIST aerospace engineering student to develop small liquid-propellant orbital rockets. Perigee Aerospace aims to develop the world’s lightest launch vehicle using high-powered engines, with a goal of leading the global market for small launch vehicles in the new space generation. Perigee-KAIST Rocket Research Center was founded in 2019 for the research and development of rocket propellants and has been testing the combustion of rocket engines of various sizes in their liquid propellant rocket combustion lab located on the KAIST Munji Campus. The research center initiated the 50th anniversary rocket launch project in late April of last year, finished the examination of their preliminary design in late May, and secured a tentative launching site through the KAIST-Jejudo agreement in early July. The ethanol engine combustion was tested in late July, and an examination meeting regarding the detailed design that took place in late August was followed by two months of static firing tests of the assembled rocket in October and November. This was a very meaningful trial in which a domestic private enterprise founded by a college student collaborated with a university to successfully develop and launch a technically challenging liquid propellant rocket. Shin's near-term goal is to launch a two-stage orbital rocket that uses liquid methane as fuel and weighs 1.8 tons. To secure competitiveness in the small projectile market, KAIST and Perigee Aerospace have set up a joint research center to test various rocket engine sizes and develop the world's lightest projectile using a high-performance engine. Professor Jae-Hung Han, head of the Department of Aerospace Engineering, said, “The scientific rocket system secured through the launch of the celebratory rocket will be utilized for design and system-oriented education, and for carrying out various scientific missions.” He added, “It is very rare both domestically and globally that a scientific rocket designed by the initiatives of a department should be incorporated as part of a regular aerospace system design curriculum. This will be an exemplary case we can boast about to the rest of the world.” Perigee Aerospace will improve the technology they have developed through the course of this project to develop subminiature vehicles they may use to launch small satellites into the low Earth orbit. Shin said, “I am happy just with the fact that we have participated in a rocket project to celebrate the 50th anniversary of KAIST, and I would like to thank the engineers at my company and members of the KAIST Department of Aerospace Engineering.” He added, “I’m looking forward to the day that we develop a space launch vehicle that can deliver satellites even higher.”
2022.01.14
View 4926
Team KAIST Makes Its Presence Felt in the Self-Driving Tech Industry
Team KAIST finishes 4th at the inaugural CES Autonomous Racing Competition Team KAIST led by Professor Hyunchul Shim and Unmanned Systems Research Group (USRG) placed fourth in an autonomous race car competition in Las Vegas last week, making its presence felt in the self-driving automotive tech industry. Team KAIST, beat its first competitor, Auburn University, with speeds of up to 131 mph at the Autonomous Challenge at CES held at the Las Vegas Motor Speedway. However, the team failed to advance to the final round when it lost to PoliMOVE, comprised of the Polytechnic University of Milan and the University of Alabama, the final winner of the $150,000 USD race. A total of eight teams competed in the self-driving race. The race was conducted as a single elimination tournament consisting of multiple rounds of matches. Two cars took turns playing the role of defender and attacker, and each car attempted to outpace the other until one of them was unable to complete the mission. Each team designed the algorithm to control its racecar, the Dallara-built AV-21, which can reach a speed of up to 173 mph, and make it safely drive around the track at high speeds without crashing into the other. The event is the CES version of the Indy Autonomous Challenge, a competition that took place for the first time in October last year to encourage university students from around the world to develop complicated software for autonomous driving and advance relevant technologies. Team KAIST placed 4th at the Indy Autonomous Challenge, which qualified it to participate in this race. “The technical level of the CES race is much higher than last October’s and we had a very tough race. We advanced to the semifinals for two consecutive races. I think our autonomous vehicle technology is proving itself to the world,” said Professor Shim. Professor Shim’s research group has been working on the development of autonomous aerial and ground vehicles for the past 12 years. A self-driving car developed by the lab was certified by the South Korean government to run on public roads. The vehicle the team used cost more than 1 million USD to build. Many of the other teams had to repair their vehicle more than once due to accidents and had to spend a lot on repairs. “We are the only one who did not have any accidents, and this is a testament to our technological prowess,” said Professor Shim. He said the financial funding to purchase pricy parts and equipment for the racecar is always a challenge given the very tight research budget and absence of corporate sponsorships. However, Professor Shim and his research group plan to participate in the next race in September and in the 2023 CES race. “I think we need more systemic and proactive research and support systems to earn better results but there is nothing better than the group of passionate students who are taking part in this project with us,” Shim added.
2022.01.12
View 6411
AI Weather Forecasting Research Center Opens
The Kim Jaechul Graduate School of AI in collaboration with the National Institute of Meteorological Sciences (NIMS) under the National Meteorological Administration launched the AI Weather Forecasting Research Center last month. The KAIST AI Weather Forecasting Research Center headed by Professor Seyoung Yoon was established with funding from from the AlphaWeather Development Research Project of the National Institute of Meteorological Sciences. KAIST was finally selected asas the project facilitator. AlphaWeather is an AI system that utilizes and analyzes approximately approximately 150,000 ,000 pieces of weather information per hour to help weather forecasters produce accurate weather forecasts. The research center is composed of three research teams with the following goals: (a) developdevelop AI technology for precipitation nowcasting, (b) developdevelop AI technology for accelerating physical process-based numerical models, and (c) develop dAI technology for supporting weather forecasters. The teams consist of 15 staff member members from NIMS and 61 researchers from the Kim Jaechul Graduate School of AI at KAIST. The research center is developing an AI algorithm for precipitation nowcasting (with up to six hours of lead time), which uses satellite images, radar reflectivity, and data collected from weather stations. It is also developing an AI algorithm for correcting biases in the prediction results from multiple numerical models. Finally, it is Finally, it is developing AI technology that supports weather forecasters by standardizing and automating repetitive manual processes. After verification, the the results obtained will be used by by the Korean National Weather Service as a next-generation forecasting/special-reporting system intelligence engine from 2026.
2022.01.10
View 3404
KPC4IR Publishes Global Standards Mapping Initiative 2.0
The report highlights South Korea as an early adopter of blockchain in policy and business The KAIST Policy Center for the 4IR (KPC4IR), one of the nine working groups of the Global Blockchain Business Council (GBBC), published the Global Standards Mapping Initiative (GSMI) 2.0, highlighting Korea as an early adopter of blockchain. The report also offers an overview of how blockchain was adopted through an analysis of policy and business cases of South Korea. In partnership with 131 institutions, GSMI 2.0 maps, catalogues, and analyzes data from 187 jurisdictions, 479 industry consortia, 38 technical standards, and 389 university courses and degree programs to provide a holistic view of the industry’s global activity. Among the nine working groups, KAIST is the sole investigator for researching South Korea’s adoption of blockchain for policy and business. It says that in terms of policy and regulations for blockchain as a virtual asset, South Korea amended the Act on Reporting and Using Specific Financial Transaction Information to comply with the Financial Action Task Force’s recommendations. The report also reviewed South Korea’s blockchain R&D. Seventeen ministries have funded 417 projects to cultivate blockchain inventions since 2015. Significantly, the Ministry of Science and ICT’s Blockchain Convergence Technology Development Program supported 50 projects between 2018 and 2021. Their R&D focused on virtual assets during the initial stage in 2015 and soon shifted its application to various domains, including identification and logistics. The report noted that the Korea Customs Service was one of the first agencies in the world to introduce blockchain into customs clearance. Through collaborations with the private sector, the Korean government has also created the world’s first blockchain-based vaccination certification services and extended it to a globally integrated decentralized identity system. Finally, the report states that these South Korean cases highlight three ambiguities in blockchain policies. First, blockchain involves both financial and industrial features. Thus, it needs a new regulatory framework that embraces the two features together. Second, integrating services on a blockchain platform will bring forth seamless automation of industries across the manufacturing, financial, and public sectors. South Korea, which already has well-proven manufacturing capabilities, is in need of a comprehensive strategy to encompass multiple services on one platform. Third, the two cases of the government’s adoption of blockchain suggest that innovations in blockchain can be facilitated through effective cooperation among government ministries and agencies regarding particular businesses in the private sector. Consequently, the government’s policy is not simply to invest in virtual assets but also to develop a virtual-physical world woven by blockchain. The new environment demands that South Korea transform its policy stances on blockchain, from specialization to comprehensiveness and cooperation. Professor So Young Kim who heads the center said, “This report shows the main lessons from South Korea for other countries adopting blockchain. We will continue to work closely with our partners including the World Economic Forum to investigate many other global issues.”
2021.12.21
View 3847
Team KAIST to Race at CES 2022 Autonomous Challenge
Five top university autonomous racing teams will compete in a head-to-head passing competition in Las Vegas A self-driving racing team from the KAIST Unmanned System Research Group (USRG) advised by Professor Hyunchul Shim will compete at the Autonomous Challenge at the Consumer Electronic Show (CES) on January 7, 2022. The head-to-head, high speed autonomous racecar passing competition at the Las Vegas Motor Speedway will feature the finalists and semifinalists from the Indy Autonomous Challenge in October of this year. Team KAIST qualified as a semifinalist at the Indy Autonomous Challenge and will join four other university teams including the winner of the competition, Technische Universität München. Team KAIST’s AV-21 vehicle is capable of driving on its own at more than 200km/h will be expected to show a speed of more than 300 km/h at the race.The participating teams are:1. KAIST2. EuroRacing : University of Modena and Reggio Emilia (Italy), University of Pisa (Italy), ETH Zürich (Switzerland), Polish Academy of Sciences (Poland) 3. MIT-PITT-RW, Massachusetts Institute of Technology, University of Pittsburgh, Rochester Institute of Technology, University of Waterloo (Canada)4.PoliMOVE – Politecnico di Milano (Italy), University of Alabama 5.TUM Autonomous Motorsport – Technische Universität München (Germany) Professor Shim’s team is dedicated to the development and validation of cutting edge technologies for highly autonomous vehicles. In recognition of his pioneering research in unmanned system technologies, Professor Shim was honored with the Grand Prize of the Minister of Science and ICT on December 9. “We began autonomous vehicle research in 2009 when we signed up for Hyundai Motor Company’s Autonomous Driving Challenge. For this, we developed a complete set of in-house technologies such as low-level vehicle control, perception, localization, and decision making.” In 2019, the team came in third place in the Challenge and they finally won this year. For years, his team has participated in many unmanned systems challenges at home and abroad, gaining recognition around the world. The team won the inaugural 2016 IROS autonomous drone racing and placed second in the 2018 IROS Autonomous Drone Racing Competition. They also competed in 2017 MBZIRC, ranking fourth in Missions 2 and 3, and fifth in the Grand Challenge. Most recently, the team won the first round of Lockheed Martin’s Alpha Pilot AI Drone Innovation Challenge. The team is now participating in the DARPA Subterranean Challenge as a member of Team CoSTAR with NASA JPL, MIT, and Caltech. “We have accumulated plenty of first-hand experience developing autonomous vehicles with the support of domestic companies such as Hyundai Motor Company, Samsung, LG, and NAVER. In 2017, the autonomous vehicle platform “EureCar” that we developed in-house was authorized by the Korean government to lawfully conduct autonomous driving experiment on public roads,” said Professor Shim. The team has developed various key technologies and algorithms related to unmanned systems that can be categorized into three major components: perception, planning, and control. Considering the characteristics of the algorithms that make up each module, their technology operates using a distributed computing system. Since 2015, the team has been actively using deep learning algorithms in the form of perception subsystems. Contextual information extracted from multi-modal sensory data gathered via cameras, lidar, radar, GPS, IMU, etc. is forwarded to the planning subsystem. The planning module is responsible for the decision making and planning required for autonomous driving such as lane change determination and trajectory planning, emergency stops, and velocity command generation. The results from the planner are fed into the controller to follow the planned high-level command. The team has also developed and verified the possibility of an end-to-end deep learning based autonomous driving approach that replaces a complex system with one single AI network.
2021.12.17
View 6242
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