Intel
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A Molecular Sensor for In-Situ Analysis of Complex Biological Fluids
A KAIST research group presented a molecular sensor with a microbead format for the rapid in-situ detection of harmful molecules in biological fluids or foods in a collaboration with a Korea Institute of Materials Science (KIMS) research group. As the sensor is designed to selectively concentrate charged small molecules and amplify the Raman signal, no time-consuming pretreatment of samples is required.
Raman spectra are commonly known as molecular fingerprints. However, their low intensity has restricted their use in molecular detection, especially for low concentrations. Raman signals can be dramatically amplified by locating the molecules on the surface of metal nanostructures where the electromagnetic field is strongly localized. However, it is still challenging to use Raman signals for the detection of small molecules dissolved in complex biological fluids. Adhesive proteins irreversibly adsorb on the metal surface, which prevents the access of small target molecules onto the metal surface. Therefore, it was a prerequisite to purify the samples before analysis. However, it takes a long time and is expensive.
A joint team from Professor Shin-Hyun Kim’s group in KAIST and Dr. Dong-Ho Kim’s group in KIMS has addressed the issue by encapsulating agglomerates of gold nanoparticles using a hydrogel. The hydrogel has three-dimensional network structures so that molecules smaller than the mesh are selectively permeable. Therefore, the hydrogel can exclude relatively large proteins, while allowing the infusion of small molecules. Therefore, the surface of gold nanoparticles remains intact against proteins, which accommodates small molecules. In particular, the charged hydrogel enables the concentration of oppositely-charged small molecules. That is, the purification is autonomously done by the materials, removing the need for time-consuming pretreatment. As a result, the Raman signal of small molecules can be selectively amplified in the absence of adhesive proteins.
Using the molecular sensors, the research team demonstrated the direct detection of fipronil sulfone dissolved in an egg without sample pretreatment. Recently, insecticide-contaminated eggs have spread in Europe, South Korea, and other countries, threatening health and causing social chaos. Fipronil is one of the most commonly used insecticides for veterinary medicine to combat fleas. The fipronil is absorbed through the chicken skin, from which a metabolite, fipronil sulfone, accumulates in the eggs. As the fipronil sulfone carries partial negative charges, it can be concentrated using positively-charged microgels while excluding adhesive proteins in eggs, such as ovalbumin, ovoglobulin, and ovomucoid. Therefore, the Raman spectrum of fipronil sulfone can be directly measured. The limit of direct detection of fipronil sulfone dissolved in an egg was measured at 0.05 ppm.
Professor Kim said, “The molecular sensors can be used not only for the direct detection of harmful molecules in foods but also for residual drugs or biomarkers in blood or urine.” Dr. Dong-Ho Kim said, “It will be possible to save time and cost as no sample treatment is required.”
This research was led by graduate student Dong Jae Kim and an article entitled “SERS-Active Charged Microgels for Size- and Charge-Selective Molecular Analysis of Complex Biological Samples” was published on October 4, 2018 in Small and featured on the inside cover of the journal.
Figure 1. Schematic illustrating the concentration of charged small molecules and the exclusion of large adhesive proteins using a charged hydrogel microbead containing an agglomerate of gold nanoparticles. The Raman signal of the small molecules is selectively amplified by the agglomerate.
Figure 2. Confocal laser scanning microscope images showing the concentration of oppositely charged molecules, where negatively-charged microgels are denoted by red circles and positively-charged microgels are denoted by blue circles. Green fluorescence originates from negatively-charged dye molecules and red fluorescence originates from positively-charged dye molecules.
Figure 3. Raman spectra measured from fipronil sulfone-spiked eggs, where the concentrations of fipronil sulfone are denoted; 0 ppm indicates no fipronil sulfone in the egg. The characteristic peaks of fipronil sulfone are denoted by the dotted lines.
2018.10.23 View 6557 -
AI ｜QC ITRC Opens at KAIST
(from left: Dean of College of Engineering Jong-Hwan Kim, Director of AI│QC ITRC June-Koo Rhee, Vice President for R&DB Heekyung Park and Director General for Industrial Policy Hong Taek Yong)
Artificial Intelligence｜The Quantum Computing Information Technology Research Center (AI｜QC ITRC) opened at KAIST on October 2.
AI｜QC ITRC, established with government funding, is the first institute specializing in quantum computing. Three universities (Seoul National University, Korea University, and Kyung Hee University), and four corporations, KT, Homomicus, Actusnetworks, and Mirae Tech are jointly participating in the center. Over four years, the institute will receive 3.2 billion KRW of research funds.
Last April, KAIST selected quantum technology as one of its flagship research areas. AI｜QC ITRC will dedicate itself to developing quantum computing technology that provides the computability required for human-level artificial intelligence. It will also foster leaders in related industries by introducing industry-academic educational programs in graduate schools.
QC is receiving a great deal of attention for transcending current digital computers in terms of computability. World-class IT companies like IBM, Google, and Intel and ventures including D-Wave, Rigetti, and IonQ are currently leading the industry and investing heavily in securing source technologies.
Starting from the establishment of the ITRC, KAIST will continue to plan strategies to foster the field of QC. KAIST will carry out two-track strategies; one is to secure source technology of first-generation QC technology, and the other is to focus on basic research that can preoccupy next-generation QC technology.
Professor June-Koo Rhee, the director of AI│QC ITRC said, “I believe that QC will be the imperative technology that enables the realization of the Fourth Industrial Revolution. AIQC ITRC will foster experts required for domestic academia and industries and build a foundation to disseminate the technology to industries.”
Vice President for R&DB Heekyung Park, Director General for Industrial Policy Hong Taek Yong from the Ministry of Science and ICT, Seung Pyo Hong from the Institute for Information & communications Technology Promotion, Head of Technology Strategy Jinhyon Youn from KT, and participating companies attended and celebrated the opening of the AI│QC ITRC.
2018.10.05 View 6912 -
Mathematical Principle behind AI's 'Black Box'
(from left: Professor Jong Chul Ye, PhD candidates Yoseob Han and Eunju Cha)
A KAIST research team identified the geometrical structure of artificial intelligence (AI) and discovered the mathematical principles of highly performing artificial neural networks, which can be applicable in fields such as medical imaging.
Deep neural networks are an exemplary method of implementing deep learning, which is at the core of the AI technology, and have shown explosive growth in recent years. This technique has been used in various fields, such as image and speech recognition as well as image processing.
Despite its excellent performance and usefulness, the exact working principles of deep neural networks has not been well understood, and they often suffer from unexpected results or errors. Hence, there is an increasing social and technical demand for interpretable deep neural network models.
To address these issues, Professor Jong Chul Ye from the Department of Bio & Brain Engineering and his team attempted to find the geometric structure in a higher dimensional space where the structure of the deep neural network can be easily understood. They proposed a general deep learning framework, called deep convolutional framelets, to understand the mathematical principle of a deep neural network in terms of the mathematical tools in Harmonic analysis.
As a result, it was found that deep neural networks’ structure appears during the process of decomposition of high dimensionally lifted signal via Hankel matrix, which is a high-dimensional structure formerly studied intensively in the field of signal processing.
In the process of decomposing the lifted signal, two bases categorized as local and non-local basis emerge. The researchers found that non-local and local basis functions play a role in pooling and filtering operation in convolutional neural network, respectively.
Previously, when implementing AI, deep neural networks were usually constructed through empirical trial and errors. The significance of the research lies in the fact that it provides a mathematical understanding on the neural network structure in high dimensional space, which guides users to design an optimized neural network.
They demonstrated improved performance of the deep convolutional framelets’ neural networks in the applications of image denoising, image pixel in painting, and medical image restoration.
Professor Ye said, “Unlike conventional neural networks designed through trial-and-error, our theory shows that neural network structure can be optimized to each desired application and are easily predictable in their effects by exploiting the high dimensional geometry. This technology can be applied to a variety of fields requiring interpretation of the architecture, such as medical imaging.”
This research, led by PhD candidates Yoseob Han and Eunju Cha, was published in the April 26th issue of the SIAM Journal on Imaging Sciences.
Figure 1. The design of deep neural network using mathematical principles
Figure 2. The results of image noise cancelling
Figure 3. The artificial neural network restoration results in the case where 80% of the pixels are lost
2018.09.12 View 6422 -
Center for Industrial Future Strategy Takes Off at KAIST
(Professor Wonjoon Kim from the School of Business and Technology Management)
Professors from KAIST and major international universities launched a mega-scale research center focusing on the Fourth Industrial Revolution, named the Center for Industrial Future Strategy (CIFS).
This center is funded by the National Research Foundation Korea and will receive 2.25 billion KRW over four years.
Directed by Professor Wonjoon Kim from the School of Business and Technology Management, the center is comprised of ten top-tier researchers and four research associates, including Professor Hawoon Jeong (KAIST), Professor Scott Stern (MIT), Professor Aaron Chatterji (Duke University), Dr. Yong Suk Lee (Stanford University) and Professor Hyejin Youn (Northwestern University).
The center will conduct research on technical, social, and economic changes derived by a new paradigm of technological innovation.
Moreover, they will study policies and strategies in relation to innovation in the corporate and government sectors to achieve economic growth in a sustainable manner. The center will also propose policies and strategies in a variety of economic and industrial settings to establish a sustainable and global innovation ecosystem.
To carry out these studies successfully, CIFS will further expand the AIEA-NBER Conference with the Asia Innovation and Entrepreneurship Association (AIEA) and the National Bureau of Economic Research (NBER) in which numerous Nobel Laureates in Economics are affiliated. They will also comprise thematic research teams with co-founding universities to build stronger cooperation with one another.
Besides the academic cooperation, the center will also build partnerships with international organizations, including the Asian Development Bank and the Inter-American Development Bank to carry out their missions at multilateral levels.
Their research topics include changes to value chains in a new paradigm of technological innovation, labor market changes in the Fourth Industrial Revolution, sharing economies and social interests, big data, artificial intelligence & privacy policy, and innovation & ethical and institutional countermeasures to AI technology.
Professor Kim said, “The new paradigm of technological innovation is evolving social, economic, and industrial structures, such as R&D, industry, technology, labor, finance, and institutions. The Center will contribute to proposing policies and strategies so that Korea, as well as the international community, can take appropriate measures to these big changes.”
2018.09.11 View 10695 -
There Won't Be a Singularity: Professor Jerry Kaplan
(Professor Jerry Kaplan gave a lecture titled, Artificial Intelligence: Think Again at KAIST)
“People are so concerned about super intelligence, but the singularity will not happen,” said Professor Jerry Kaplan at Stanford University, an AI guru and Silicon Valley entrepreneur during a lecture at KAIST. He visited KAIST to give a lecture on Artificial Intelligence: Think Again on September 6.
Professor Kaplan said that some people argue that Korea’s AI research is behind the US and China but he doesn’t agree with that. “Korea is the most digitally connected one and has the world’s best engineers in the field. Korean companies are building products the consumers really like at reasonable prices. Those are attracting global consumers,” he added.
Instead of investing loads of money on AI research, he suggested three tasks for Korea taking a better position in the field of AI: Collecting and saving lots of data; training engineers, not the research talents in AI; and investing in AI infrastructure and relieving regulations by the government.
Referring to AI hype, Professor Kaplan argued that machines are intelligent, but they do not think in the way humans can, and assured the audience that the singularity some futurists predict will not be coming. He said, “Machine learning is a tool extracting useful information, but it does not mean they are so smart that they are taking over the world.”
(Professor Jerry Kaplan gave a lecture titled, Artificial Intelligence: Think Again at KAIST)
But what has made us believing AI myths? He first began pointing out how AI has been mythicized by three major drivers. Those are the entertainment industry, the popular media, and the AI community all wanting to attract more public attention and prestige. The abovementioned drivers are falsely making robots more human and are adding human characteristics.
Instead of being captivated by those AI myths and thinking about how to save the world from robots, he strongly argued, “We need to develop standards for the unintended side effects from AI.” To provide machines socially and ethically mingling with the human world, he believed principles should be set as follows: Define the Safe Operating Envelope (SOE), “safe modes” when out of bounds, study human behavior programmatically, certification and licensing standards, limitations on machine “agency,” and basic computational ethics such as when it is okay to break the law.
Professor Kaplan gave a positive view of AI for humans. “The future will be bright, thanks to AI. They do difficult work and help us and that will drive wealth and quality of life. The rich might get richer, but the benefits will spread throughout the people. It is time to think of innovative ways for using AI for building better world,” he concluded.
2018.09.10 View 5523 -
Adding Smart to Science Museum
KAIST and the National Science Museum (NSM) created an Exhibition Research Center for Smart Science to launch exhibitions that integrate emerging technologies in the Fourth Industrial Revolution, including augmented reality (AR), virtual reality (VR), Internet of Things (IoTs), and artificial intelligence (AI).
There has been a great demand for a novel technology for better, user-oriented exhibition services. The NSM continuously faces the problem of not having enough professional guides. Additionally, there have been constant complaints about its current mobile application for exhibitions not being very effective.
To tackle these problems, the new center was founded, involving 11 institutes and universities. Sponsored by the National Research Foundation, it will oversee 15 projects in three areas: exhibition-based technology, exhibition operational technology, and exhibition content.
The group first aims to provide a location-based exhibition guide system service, which allows it to incorporate various technological services, such as AR/VR to visitors. An indoor locating system named KAILOS, which was developed by KAIST, will be applied to this service. They will also launch a mobile application service that provides audio-based exhibition guides.
To further cater to visitors’ needs, the group plans to apply a user-centered ecosystem, a living lab concept to create pleasant environment for visitors.
“Every year, hundred thousands of young people visit the National Science Museum. I believe that the exhibition guide system has to be innovative, using cutting-edge IT technology in order to help them cherish their dreams and inspirations through science,” Jeong Heoi Bae, President of Exhibition and Research Bureau of NSM, emphasized.
Professor Dong Soo Han from the School of Computing, who took the position of research head of the group, said, “We will systematically develop exhibition technology and contents for the science museum to create a platform for smart science museums. It will be the first time to provide an exhibition guide system that integrates AR/VR with an indoor location system.”
The center will first apply the new system to the NSM and then expand it to 167 science museums and other regional museums.
2018.09.04 View 9174 -
Photonic Capsules for Injectable Laser Resonators
A KAIST research group presented photonic capsules for injectable laser resonators using microfluidic technology. The capsule’s diameter is comparable to a human hair and stable in gas and liquid media, so it is injectable into any target volume.
The research group headed by Professor Shin-Hyun Kim in the Department of Chemical and Biomolecular Engineering applied an interesting optical property from nature. Professor Kim, who has dived deep into photonic materials research inspired from nature such as the Morpho butterfly, used a trait of beetles this time.
Chrysina gloriosa, commonly known as the glorious beetle, shows a green color similar to leaves when illuminated by left-handed, circularly-polarized light while showing no color with right-handed, circularly-polarized light. This unique optical feature helps the beetles communicate with each other and protects them from predators.
The principle behind this interesting optical property of the beetles relies on helical nanostructures with left-handedness that are present on the shell of the beetles. The helical structures reflect a circularly-polarized light with the same handedness of the helix at the wavelength selected by the helical pitch through optical interference.
Such helical nanostructures can be artificially created using liquid crystals (LCs). LCs with a helical arrangement are referred to as cholesteric LCs (CLCs). The CLCs exhibit the polarization-dependent reflection of light in the same manner as the beetles and have been used for various photonic applications.
In particular, CLCs have been cast to a film format that serves as mirrorless laser resonators, unlike conventional lasing systems. However, the film-type CLCs are large in size and show unidirectional emission, which restricts the use of CLC resonators in microenvironments.
To overcome these limitations, Professor Kim’s group has encapsulated the CLCs with dual shells using microfluidic technology. The inner shell is a water layer that promotes the alignment of LC molecules and the outer shell is an elastic polymer layer that secures capsule stability and enables reversible mechanical deformation. The spherical symmetry of the capsules enables omnidirectional laser emissions. Moreover, laser intensity and lasing direction can be further controlled by deforming the capsules, while its wavelength remains tunable. This new type of CLC laser resonator is promising for laser treatments in various biomedical applications.
Professor Kim said, “The helical nanostructure used in the laser resonator resembles that of the shell of chrysina gloriosa. Humans learn from nature and engineer materials to create something unprecedented.”
This research was led by graduate student Sang Seok Lee and an article entitled “Wavelength-tunable and shape-reconfigurable photonic capsule resonators containing cholesteric liquid crystals” was published online on June 22, in Science Advances.
Figure 1. Chrysina gloriosa illuminated by left-handed (left panel) and right-handed (right panel) circularly-polarized lights.
(Image source: https://doi.org/10.1016/j.cub.2010.05.036 , permitted for reuse in news media)
Figure 2. Composition (left panel) and optical microscopy image (right panel) of the capsule-type laser resonator
2018.07.05 View 9476 -
Professor Suh Chosen for IT Young Engineer Award
(The ceremony photo of Professor Changho Suh)
Professor Changho Suh from the School of Electrical Engineering received the IT Young Engineer Award on June 28. This award is hosted by the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Electrical and Information Engineers (IEIE) and funded by the Haedong Science Foundation.
The IT Young Engineer Award is given to researchers under the age of 40 in Korea. The selection criteria include the researches’ technical practicability, their social and environmental contributions, and their creativity.
Professor Suh has shown outstanding academic performance in the field of telecommunications, distributed storage, and artificial intelligence and he has also contributed to technological commercialization. He published 23 papers in SCI journals and ten papers at top-level international conferences including the Conference on Neural Information Processing Systems and the International Conference on Machine Learning. His papers were cited more than 4,100 times. He has also achieved 30 international patent registrations.
Currently, he is developing an autonomous driving system using an AI-tutor and deep learning technology.
Professor Suh said, “It is my great honor to receive the IT Young Engineer Award. I strive to continue guiding students and carrying out research in order to make a contribution to the fields of IT and AI.”
2018.07.04 View 9776 -
Mechanism Leading to Cortical Malformation from Brain-Only Mutations Identified
Focal malformations of cortical development (FMCDs) are a heterogeneous group of brain cortical abnormalities. These conditions are the most common causes of medically refractory epilepsy in children and are highly associated with intellectual disability, developmental delay, and autism-spectrum disorders. Despite a broad spectrum of cortical abnormalities in FMCDs, the defective migration of neuronal cells is considered a key pathological hallmark.
A research team led by Professor Jeong Ho Lee in the Graduate School of Medical Science and Engineering at KAIST has recently investigated the molecular mechanism of defective neuronal migration in FMCDs. Their research results were published online in Neuron on June 21, 2018.
The research team previously demonstrated that brain-only mutations in the mechanistic target of rapamycin (MTOR) gene causes focal cortical dysplasia, one major form of FMCDs leading to intractable epilepsy in children. However, the molecular mechanisms by which brain-only mutations in MTOR lead to cortical dyslamination and defective neuronal migration in FMCDs remain unclear.
To study the molecular mechanism of brain cortical dyslamination, the research team utilized patients’ brain tissues and modeled the MTOR mutation-carrying cell and animal models recapitulating the pathogenesis and symptoms of FMCD patients. By performing comprehensive molecular genetic experiments, they found that the formation of primary cilia, one of cellular organelles, was disrupted in MTOR mutation-carrying neurons and demonstrated that this ciliary disruption was a cause of cortical dyslamination in FMCDs.
MTOR mutations prevented degradation of the OFD1 protein, one of the negative regulators of ciliary formation. As a result, the OFD1 protein was abnormally accumulated in MTOR mutation-carrying neurons, causing focal cortical dyslamination. By suppressing the expression of the OFD1 protein, the research team was able to rescue the defective formation of primary cilia, leading to the restoration of cortical dyslamination and defective neuronal migration considerably.
Based on these results, the research team is carrying out further research to develop novel therapeutics for patients with FMCDs caused by brain-only mutations.
This work was supported by grants from the Suh Kyungbae Foundation and Citizens United for Research in Epilepsy.
The research paper is titled “Brain Somatic Mutations in MTOR Disrupt Neuronal Ciliogenesis, Leading to Focal Cortical Dyslamination.” (Digital Object Identifier #: 10.1016/j.neuron.2018.05.039)
Picture 1: The disrupted formation of primary cilia in brain tissues of FMCD mouse models and patients with FMCDs caused by brain somatic mutations in MTOR.
Picture 2: The rescue of defective ciliary formation in FMCD mouse models leading to the restoration of cortical dyslamination and defective neuronal migration.
2018.07.02 View 8590 -
Taming AI: Engineering, Ethics, and Policy
(Professor Lee, Professor Koene, Professor Walsh, and Professor Ema (from left))
Can AI-powered robotics could be adequate companions for humans? Will the good faith of users and developers work for helping AI-powered robots become the new tribe of the digital future?
AI’s efficiency is creating new socio-economic opportunities in the global market. Despite the opportunities, challenges still remain. It is said that efficiency-enforcing algorithms through deep learning will take an eventual toll on human dignity and safety, bringing out the disastrous fiascos featured in the Terminator movies.
A research group at the Korean Flagship AI Project for Emotional Digital Companionship at KAIST Institute for AI (KI4AI) and the Fourth Industrial Intelligence Center at KAIST Institute co-hosted a seminar, “Taming AI: Engineering, Ethics, and Policy” last week to discuss ways to better employ AI technologies in ways that upholds human values.
The KI4AI has been conducting this flagship project from the end of 2016 with the support of the Ministry of Science and ICT.
The seminar brought together three speakers from Australia, Japan, and the UK to better fathom the implications of the new technology emergence from the ethical perspectives of engineering and discuss policymaking for the responsible usage of technology.
Professor Toby Walsh, an anti-autonomous weapon activist from New South Wales University in Australia continued to argue the possible risk that AI poses to malfunction. He said that an independent ethics committee or group usually monitors academic institutions’ research activities in order to avoid any possible mishaps.
However, he said there is no independent group or committee monitoring the nature of corporations’ engagement of such technologies, while its possible threats against humanity are alleged to be growing. He mentioned that Google’s and Amazon’s information collecting also pose a potent threat. He said that ethical standards similar to academic research integrity should be established to avoid the possible restricting of the dignity of humans and mass destruction. He hoped that KAIST and Google would play a leading role in establishing an international norm toward this compelling issue.
Professor Arisa Ema from the University of Tokyo provided very compelling arguments for thinking about the duplicity of technology and how technology should serve the public interest without any bias against gender, race, and social stratum. She pointed out the information dominated by several Western corporations like Google. She said that such algorithms for deep learning of data provided by several Western corporations will create very biased information, only applicable to limited races and classes.
Meanwhile, Professor Ansgar Koene from the University of Nottingham presented the IEEE’s global initiative on the ethics of autonomous and intelligence systems. He shared the cases of industry standards and ethically-aligned designs made by the IEEE Standards Association. He said more than 250 global cross-disciplinary thought leaders from around the world joined to develop ethical guidelines called Ethically Aligned Design (EAD) V2. EAD V2 includes methodologies to guide ethical research and design, embedding values into autonomous intelligence systems among others. For the next step beyond EAD V2, the association is now working for IEEE P70xx Standards Projects, detailing more technical approaches.
Professor Soo Young Lee at KAIST argued that the eventual goal of complete AI is to have human-like emotions, calling it a new paradigm for the relationship between humans and AI-robots. According to Professor Lee, AI-powered robots will serve as a good companion for humans. “Especially in aging societies affecting the globe, this will be a very viable and practical option,” he said.
He pointed out, “Kids learn from parents’ morality and social behavior. Users should have AI-robots learn morality as well. Their relationships should be based on good faith and trust, no longer that of master and slave. He said that liability issues for any mishap will need to be discussed further, but basically each user and developer should have their own responsibility when dealing with these issues.
2018.06.26 View 9060 -
Czech Technology Mission with KAIST
Members of the Czech research community visited KAIST to discuss medium to long-term cooperation with KAIST. This visit was hosted by the Fourth Industrial Revolution Intelligence Center (FIRIC).
The community is comprised of people from Czech enterprises and academic institutes that are leading core technologies for the Fourth Industrial Revolution in the fields of AI, robotics, and biotechnology. They had a chance to meet KAIST professors and visit research labs.
Professor Il-Doo Kim from the Department of Materials Science and Engineering, Professor Seongsu Kim from the Department of Mechanical Engineering, and Professor Hyun Uk Kim from the Department of Chemical and Biomolecular Engineering attended the meeting, which took place in the Mechatronics, Systems, and Control Lab under the Vice President for Planning and Budget Soo Hyun Kim and Professor Kyung Soo Kim from the Department of Mechanical Engineering.
Professor Petr Novák from the Technical University of Ostrava said, “It was a meaningful meeting to help understand research trends on industrial robots in Korea.” Professor So Young Kim from FIRIC said, “The Czech research community is strong in basic research where KAIST has outstanding source technology. I hope this visit will open up a path for medium to long-term cooperation on sharing research and technology know-how between the Czech research community and KAIST.”
2018.06.07 View 6923 -
ICISTS 2018: Presence of the Wall, Constraint or Control
A KAIST undergraduates body, ICISTS (International Conference for Integration of Science, Technology and Society) will host the 2018 international conference from July 30 to August 3 at KAIST. Under the theme of “Presence of the Wall: Constraint or Control,” participants will share their opinions on the limits the global world is facing today and look for answers discussing various social issues and technologies. More than 300 students from 60 universities in 15 countries will attend the conference.
Speakers include CEO Sebastien Gendron of TransPod Inc., a Canadian company designing and manufacturing ultra-high-speed transportation technology and vehicles, researcher Sven Kreiss from the Visual Intelligence for Transportation of École Polytechnique Fédérale de Lausanne, Professor Des Freedman from the Department of Media and Communications of Goldsmiths, University of London and political scientist-technologist Wilneida Negrón at the Data & Society Research Institute of Ford Foundation in the US.
The conference will hold programs to facilitate the exchange of ideas among speakers and participants. Participants will make small teams for free discussions to share their ideas and thoughts about issues affecting the human race. Participants will be also assigned a team project in which they must come up with creative ideas based on the lectures. Moreover, they can try new gadgets from companies during the Experience Session.
ICISTS was established in 2005 by undergraduate students from KAIST. The organization holds an international conference every year to explore ways to create harmonization among society, science, and technology. It has grown to become Asia’s largest international student conference.
For learn more and register for the program, please visit http://www.icist.org
2018.05.30 View 6692