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KAIST Demonstrates AI and sustainable technologies at CES 2024
On January 2, KAIST announced it will be participating in the Consumer Electronics Show (CES) 2024, held between January 9 and 12.
CES 2024 is one of the world’s largest tech conferences to take place in Las Vegas. Under the slogan “KAIST, the Global Value Creator” for its exhibition, KAIST has submitted technologies falling under one of following themes: “Expansion of Human Intelligence, Mobility, and Reality”, and “Pursuit of Human Security and Sustainable Development”.
24 startups and pre-startups whose technologies stand out in various fields including artificial intelligence (AI), mobility, virtual reality, healthcare and human security, and sustainable development, will welcome their visitors at an exclusive booth of 232 m2 prepared for KAIST at Eureka Park in Las Vegas.
12 businesses will participate in the first category, “Expansion of Human Intelligence, Mobility, and Reality”, including MicroPix, Panmnesia, DeepAuto, MGL, Reports, Narnia Labs, EL FACTORY, Korea Position Technology, AudAi, Planby Technologies, Movin, and Studio Lab.
In the “Pursuit of Human Security and Sustainable Development” category, 12 businesses including Aldaver, ADNC, Solve, Iris, Blue Device, Barreleye, TR, A2US, Greeners, Iron Boys, Shard Partners and Kingbot, will be introduced.
In particular, Aldaver is a startup that received the Korean Business Award 2023 as well as the presidential award at the Challenge K-Startup with its biomimetic material and printing technology. It has attracted 4.5 billion KRW of investment thus far.
Narnia Labs, with its AI design solution for manufacturing, won the grand prize for K-tech Startups 2022, and has so far attracted 3.5 billion KRW of investments.
Panmnesia is a startup that won the 2024 CES Innovation Award, recognized for their fab-less AI semiconductor technology. They attracted 16 billion KRW of investment through seed round alone.
Meanwhile, student startups will also be presented during the exhibition. Studio Lab received a CES 2024 Best of Innovation Award in the AI category. The team developed the software Seller Canvas, which automatically generates a page for product details when a user uploads an image of a product.
The central stage at the KAIST exhibition booth will be used to interview members of the participating startups between Jan 9 to 11, as well as a networking site for businesses and invited investors during KAIST NIGHT on the evening of 10th, between 5 and 7 PM.
Director Sung-Yool Choi of the KAIST Institute of Technology Value Creation said, “Through CES 2024, KAIST will overcome the limits of human intelligence, mobility, and space with the deep-tech based technologies developed by its startups, and will demonstrate its achievements for realizing its vision as a global value-creating university through the solutions for human security and sustainable development.”
2024.01.05 View 4836 -
Marien Buissonniere Awarded the 9th Grand Award for Future Strategy
Global healthcare and humanitarian activist honored by the Grand Award for Future Strategy
The Moon Soul Graduate School of Future Strategy awarded the 9th Grand Award for Future Strategy to Marine Buissonniere, an independent advisor and practitioner in the fields of global health and humanitarian action. She currently works as a senior advisor to the Prevent Epidemics team at Resolve to Save Lives. She also co-chairs Doctors Without Borders’ Transformational Investment Capacity.
Buissonniere was recognized for designing and implementing global response strategies in global strife and disaster stricken areas over the 25 years while serving as secretary general of Doctors Without Borders. She has been working with various government agencies around the world including Resolve to Save Lives to respond to the Covid-19 pandemic and preparing global future strategies for the post-pandemic era.
The Grand Award for Future Strategy recognizes individual and organization who have contributed to the nation and humanity through future research and strategies in the fields of science and technology, economy and industry, society and culture, politics and governance, and resources and environment.
The selection committee place particular emphasis on her humanitarian efforts toward North Korea. She was in charge of the task force for resuming the health project in North Korea and facilitated the North Korean program in 2002. She also played a significant role in raising awareness of North Korea’s humanitarian issues in the international community by lecturing at Columbia and Princeton.
Buissonniere said during the awards ceremony held online on November 5, “I am very grateful to receive this award from KAIST, a world’s top-flight university as well as from South Korea related to the Korean Peninsula and North Korea, where I have spent most of my life. What makes this award even more special is it is about the international medical relief activities and system innovations that I’ve devoted my life to over the last 25 years. I am going to continue this journey to help many people in difficult situations. Eventually, I would like to make it possible for those people in need to make their own future by themselves.”
2021.11.11 View 5080 -
Deep Learning-Powered 'DeepEC' Helps Accurately Understand Enzyme Functions
(Figure: Overall scheme of DeepEC)
A deep learning-powered computational framework, ‘DeepEC,’ will allow the high-quality and high-throughput prediction of enzyme commission numbers, which is essential for the accurate understanding of enzyme functions.
A team of Dr. Jae Yong Ryu, Professor Hyun Uk Kim, and Distinguished Professor Sang Yup Lee at KAIST reported the computational framework powered by deep learning that predicts enzyme commission (EC) numbers with high precision in a high-throughput manner.
DeepEC takes a protein sequence as an input and accurately predicts EC numbers as an output. Enzymes are proteins that catalyze biochemical reactions and EC numbers consisting of four level numbers (i.e., a.b.c.d) indicate biochemical reactions. Thus, the identification of EC numbers is critical for accurately understanding enzyme functions and metabolism.
EC numbers are usually given to a protein sequence encoding an enzyme during a genome annotation procedure. Because of the importance of EC numbers, several EC number prediction tools have been developed, but they have room for further improvement with respect to computation time, precision, coverage, and the total size of the files needed for the EC number prediction.
DeepEC uses three convolutional neural networks (CNNs) as a major engine for the prediction of EC numbers, and also implements homology analysis for EC numbers if the three CNNs do not produce reliable EC numbers for a given protein sequence. DeepEC was developed by using a gold standard dataset covering 1,388,606 protein sequences and 4,669 EC numbers.
In particular, benchmarking studies of DeepEC and five other representative EC number prediction tools showed that DeepEC made the most precise and fastest predictions for EC numbers. DeepEC also required the smallest disk space for implementation, which makes it an ideal third-party software component.
Furthermore, DeepEC was the most sensitive in detecting enzymatic function loss as a result of mutations in domains/binding site residue of protein sequences; in this comparative analysis, all the domains or binding site residue were substituted with L-alanine residue in order to remove the protein function, which is known as the L-alanine scanning method.
This study was published online in the Proceedings of the National Academy of Sciences of the United States of America (PNAS) on June 20, 2019, entitled “Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers.”
“DeepEC can be used as an independent tool and also as a third-party software component in combination with other computational platforms that examine metabolic reactions. DeepEC is freely available online,” said Professor Kim.
Distinguished Professor Lee said, “With DeepEC, it has become possible to process ever-increasing volumes of protein sequence data more efficiently and more accurately.”
This work was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries from the Ministry of Science and ICT through the National Research Foundation of Korea. This work was also funded by the Bio & Medical Technology Development Program of the National Research Foundation of Korea funded by the Korean government, the Ministry of Science and ICT.
Profile:
-Professor Hyun Uk Kim (ehukim@kaist.ac.kr)
https://sites.google.com/view/ehukim
Department of Chemical and Biomolecular Engineering
-Distinguished Professor Sang Yup Lee (leesy@kaist.ac.kr)
Department of Chemical and Biomolecular Engineering
http://mbel.kaist.ac.kr
2019.07.09 View 34265 -
Efficiently Producing Fatty Acids and Biofuels from Glucose
Researchers have presented a new strategy for efficiently producing fatty acids and biofuels that can transform glucose and oleaginous microorganisms into microbial diesel fuel, with one-step direct fermentative production.
The newly developed strain, created by Distinguished Professor Sang Yup Lee and his team, showed the highest efficiency in producing fatty acids and biodiesels ever reported. It will be expected to serve as a new platform to sustainably produce a wide array of fatty acid-based products from glucose and other carbon substrates.
Fossil fuels, which have long been energy resources for our daily lives, are now facing serious challenges: depletion of their reserves and their role in global warming. The production of sustainable bio-based renewable energy has emerged as an essential alternative and many studies to replace fossil fuels are underway. One of the representative examples is biodiesel. Currently, it is mainly being produced through the transesterification of vegetable oils or animal fats.
The research team engineered oleaginous microorganisms, Rhodococcus opacus, to produce fatty acids and their derivatives that can be used as biodiesel from glucose, one of the most abundant and cheap sugars derived from non-edible biomass.
Professor Lee’s team has already engineered Escherichia coli to produce short-chain hydrocarbons, which can be used as gasoline (published in Nature as the cover paper in 2013). However, the production efficiency of the short-chain hydrocarbons using E. coli (0.58 g/L) fell short of the levels required for commercialization.
To overcome these issues, the team employed oil-accumulating Rhodococcus opacus as a host strain in this study. First, the team optimized the cultivation conditions of Rhodococcus opacus to maximize the accumulation of oil (triacylglycerol), which serves as a precursor for the biosynthesis of fatty acids and their derivatives. Then, they systematically analyzed the metabolism of the strain and redesigned it to enable higher levels of fatty acids and two kinds of fatty acid-derived biodiesels (fatty acid ethyl esters and long-chain hydrocarbons) to be produced.
They found that the resulting strains produced 50.2, 21.3, and 5.2 g/L of fatty acids, fatty acid ethyl esters, and long-chain hydrocarbons, respectively. These are all the highest concentrations ever reported by microbial fermentations. It is expected that these strains can contribute to the future industrialization of microbial-based biodiesel production.
“This technology creates fatty acids and biodiesel with high efficiency by utilizing lignocellulose, one of the most abundant resources on the Earth, without depending on fossil fuels and vegetable or animal oils. This will provide new opportunities for oil and petroleum industries, which have long relied on fossil fuels, to turn to sustainable and eco-friendly biotechnologies,” said Professor Lee.
This paper titled “Engineering of an oleaginous bacterium for the production of fatty acids and fuels” was published in Nature Chemical Biology on June 17.
This work was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea (NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557).
(Figure: Metabolic engineering for the production of free fatty acids (FFAs), fatty acid ethyl esters (FAEEs), and long-chain hydrocarbons (LCHCs) in Rhodococcus opacus PD630. Researchers have presented a new strategy for efficiently producing fatty acids and biofuels that can transform glucose and oleaginous microorganisms into microbial diesel fuel, with one-step direct fermentative production.)
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Source:
Hye Mi Kim, Tong Un Chae, So Young Choi, Won Jun Kim and Sang Yup Lee. Engineering of an oleaginous bacterium for the production of fatty acids and fuels. Nature Chemical Biology ( https://www.nature.com/nchembio/ ) DOI: 10.1038/s41589-019-0295-5
Profile
Dr. Sang Yup Lee
leesy@kaist.ac.kr
Distinguished Professor at the Department of Chemical and Biomolecular Engineering
KAIST
2019.06.19 View 46171 -
Engineered Microbial Production of Grape Flavoring
(Image 1: Engineered bacteria that produce grape flavoring.)
Researchers report a microbial method for producing an artificial grape flavor. Methyl anthranilate (MANT) is a common grape flavoring and odorant compound currently produced through a petroleum-based process that uses large volumes of toxic acid catalysts.
Professor Sang-Yup Lee’s team at the Department of Chemical and Biomolecular Engineering demonstrated production of MANT, a naturally occurring compound, via engineered bacteria. The authors engineered strains of Escherichia coli and Corynebacetrium glutamicum to produce MANT through a plant-based engineered metabolic pathway.
The authors tuned the bacterial metabolic pathway by optimizing the levels of AAMT1, the key enzyme in the process. To maximize production of MANT, the authors tested six strategies, including increasing the supply of a precursor compound and enhancing the availability of a co-substrate. The most productive strategy proved to be a two-phase extractive culture, in which MANT was extracted into a solvent. This strategy produced MANT on the scale of 4.47 to 5.74 grams per liter, a significant amount, considering that engineered microbes produce most natural products at a scale of milligrams or micrograms per liter.
According to the authors, the results suggest that MANT and other related molecules produced through industrial processes can be produced at scale by engineered microbes in a manner that would allow them to be marketed as natural one, instead of artificial one.
This study, featured at the Proceeding of the National Academy of Sciences of the USA on May 13, was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries from the Ministry of Science and ICT.
(Image 2. Overview of the strategies applied for the microbial production of grape flavoring.)
2019.05.15 View 52574 -
KAIST Team Wins Bronze Medal at Int'l Programming Contest
A KAIST Team consisting of undergraduate students from the School of Computing and Department of Mathematical Science received a bronze medal and First Problem Solver award at an international undergraduate programming competition, The Association for Computing Machinery-International Collegiate Programming Contest (ACM-ICPC) World Finals.
The 41st ACM-ICPC hosted by ACM and funded by IBM was held in South Dakota in the US on May 25. The competition, first held in 1977, is aimed at undergraduate students from around the world. A total of 50,000 students from 2900 universities and 103 countries participated in the regional competition and 400 students competed in the finals.
The competition required teams of three to solve 12 problems. The KAIST team was coached by Emeritus Professor Sung-Yong Shin and Professor Taisook Han. The student contestants were Jihoon Ko and Hanpil Kang from the School of Computing and Jongwoon Lee from the Department of Mathematical Science. The team finished ranked 9th, receiving a bronze medal and a $3000 prize. Additionally, the team was the first to solve all the problems and received the First Problem Solver award. Detailed score information can be found on. https://icpc.baylor.edu/scoreboard/
(Photo caption: Professor Taisook Han and his students)
2017.06.12 View 7961 -
KAIST's OLEV Best Model of Creative Growth Engine
Various models of electric vehicles designed to replace the internal combustion automobiles face significant problems as they invariably failed to overcome the limitations involving lithium battery in terms of power capacity, weight, raw materal price, recharging time and preparation of charging stations. Worst of all, the limited supply of lithium will eventually raise its price sky high when all cars use lithium batteries, and the economic value of electric cars will be lost.
KAIST"s online electric vehicle project (OLEV) seeks to resolve these fundamental problems involving electric vehicles that have so far been developed. KAIST OLEV, a project to develop a new growth engine for the nation and lead the future of global automotive industry, is an entirely new concept: the electric vehicle picks up power from underground power supplier lines through the non-contact magnetic charging method, while either running or standing. This is the first eco-friendly and economic automotive system that can resolve the problems inherent to previously-developed electric vehicles, according to the KAIST OLEV Project Center.
In February 2009, KAIST researchers first proved that up to 80 percent power conveyance is possible through a gap of 1 centimeter from the power line, and in July they successfully supplied power to a bus -- up to 60 percent across a 12 cm gap from the power line embedded in the ground -- using power supply and pick-up devices they developed. In this process, KAIST has secured the core technologies for maximizing power efficiency and minimizing the cost of installing the non-contact power supply system. KAIST has established the Online Electric Vehicle Co., Ltd., to undertake business activities related to the OLEV project, including the IPR on power supply and pick-up devices, parts and accessories and commercial promotion. A demonstration event is scheduled for Aug. 13, Thursday.
The impact of the development of the OLEV technology on the energy and environment issues and the overall economy will be enormous. In case a half of the total automobiles running in Korea, or 6 million vehicles, are replaced with OLEV, electric power produced by just two of the nation"s atomic power plants will be enough to operate them all, and the nation will be able to reduce crude oil import by 35 million barrels worth U.S.$3 billion a year (supposing $80 per barrel).
Korea"s export of OLEV units will in the future surpass the present level of overseas sale of conventional cars. When nations use online electric vehicles in large numbers, their demand for CO2-free power plants will grow. Korea has cutting-edge technology in the construction of atomic power plants. As a world leader in the area of nuclear power plant, Korea will enjoy new opportunities to contribute to the global advancement of atomic power generation as well as transportation industries.
Korea still shares a small portion of the world"s automobile market estimated to worth some 2,000 trillion Korean won. But commercialization of the OLEV technology worldwide will greatly enhance Korea"s global automotive market share. Successful development of the online electric vehicle requires preemptive investment and positive support by the government for the ultimate purpose of resolving energy and environment problems.
If and when domestic enterprises secure technological supremacy in the next generation automobile market with their online electric vehicles which will replace the 100-year-old combustion engine, it will be the most desirable shortcut to raising Korea"s international competitiveness. OLEV promises to be the model of creative growth engine in the 21st century.
2009.07.30 View 15762 -
Prototype technologies for world highest efficiency PDP lightening developed by Prof. Choi
- Core technologies that will solve power consumption problems in PDPs- To be unveiled as invited paper at conference by Society for Information Display in May
A domestic research team has developed prototype technologies for high efficiency lightening that can significantly improve the power consumption of Plasma Display Panels (PDP).
A team headed by Kyung Cheol Choi, a professor of Electrical & Computer Science in KAiST (President Nam-Pyo Suh), has developed new cell structures and driving methods of PDP, typical digital television, which can increase the luminous efficacy of PDP four times and are to be unveiled at the conference by the Society for Information Display (SID) as an invited paper. The SID is the world largest information display society and the conference will be held at Long Beach, CA, U.S. on May 21.
Prof. Choi
2007.04.18 View 11855