Researchers at KAIST developed a new method to learn without weight transport, enabling faster and more accurate learning. By pre-training with random noise, the team showed that neural networks can achieve high learning efficiency and solve the weight transport problem.
A KAIST research team has successfully produced a microbial-based plastic that is biodegradable and can replace existing PET bottles. The team used metabolic engineering to develop a microbial strain that efficiently produces pseudoaromatic dicarboxylic acids, which are better suited for producing polymers than traditional methods.
Researchers at KAIST introduced a new hybrid device structure with organic photo-semiconductors that expand the absorption range to near-infrared, improving power conversion efficiency. The device achieved a high internal quantum efficiency of 78% in the near-infrared region and improved stability for over 1,200 hours.
Researchers developed a novel AI approach to predict atomic-level chemical bonding information in 3D space, bypassing traditional supercomputer simulations. This methodology accelerates calculations by learning chemical bonding information using neural network algorithms from computer vision.
A KAIST team created a face-conforming LED mask with improved efficacy in skin rejuvenation. The FSLED mask demonstrated a 340% improvement in deep skin elasticity compared to conventional masks, showing significant benefits for anti-aging treatment.
Researchers from KAIST have developed a new hydrogen production system that overcomes current limitations of green hydrogen production. The system uses a water-splitting process with an aqueous electrolyte, achieving high energy density and long-term stability.
Researchers at KAIST have developed a thermoelectric material that can generate electricity from body temperature and maintain stable performance even in extreme environments. The material, made of bismuth telluride fibers, has higher bending strength and showed no change in electrical properties after repeated bending tests.
KAIST researchers developed a new electrochemical impedance spectroscopy (EIS) technology using small currents to diagnose electric vehicle batteries with high precision. This low-current EIS system minimizes thermal effects and safety issues during measurement, making it suitable for integration into vehicles.
Researchers at KAIST have developed a Janus metasurface capable of controlling asymmetric light transmission, enabling the creation of two independent optical systems with a single device. This technology also enables optical encryption by generating different images depending on the direction and polarization state of incoming light.
A Korean research team has successfully observed living organoids in real time at a high resolution using holotomography. The technology allows for long-term observation of dynamic changes and precise analysis of organoid responses to drug treatments.
Researchers at KAIST successfully developed single-atom editing technology that maximizes drug efficacy by converting oxygen atoms into nitrogen atoms in furan compounds. This breakthrough technology enables selective editing of complex natural products or pharmaceuticals, opening new doors for building libraries of drug candidates.
Researchers at KAIST have successfully developed a microbial strain that efficiently produces aromatic polyester using systems metabolic engineering. The team achieved the world's highest concentration (12.3±0.1 g/L) for efficient production of poly(PhLA), demonstrating the possibility of industrial-level production.
Holotomography offers a promising approach to biomedical research, providing high-resolution images of live cells and tissues at the organelle level. The KAIST research team has developed core technologies and demonstrated its applications in various fields, including regenerative medicine and cancer research.
A research team at KAIST has developed an AI-based methodology to predict the major elemental composition and charge-discharge state of NCM cathode materials with high accuracy using convolutional neural networks. The technology can analyze surface morphology images of batteries to determine their composition and lifespan.
Researchers at KAIST successfully clarified the three-dimensional, vortex-shaped polarization distribution inside ferroelectric nanoparticles using atomic electron tomography. This discovery has implications for ultra-high-density memory devices with capacities over 10,000 times greater than existing ones.
The KAIST-Yonsei University research team has developed a novel, high-performance paper coating material made from biodegradable plastic that improves the sustainability of paper packaging. The coating material was tested for its biodegradability and found to achieve 59-82% biodegradation in marine environments.
Researchers at KAIST have developed a hybrid sodium-ion battery with high energy and power density, enabling rapid charging in under a few seconds. The new battery technology has the potential to revolutionize energy storage for electric vehicles and other applications.
Researchers propose a direction of research on 'microbial food production from sustainable raw materials' to produce nutritious and eco-friendly foods. Microbial biomass is rich in protein, emits minimal carbon dioxide, and requires less water and space.
Researchers at KAIST have developed a novel ultra-low power memory device that can replace existing memory or be used in implementing neuromorphic computing. The new phase change memory device consumes 15 times less power than conventional devices, enabling the development of low-cost and energy-efficient artificial intelligence hardware.
A KAIST-Seoul National University Hospital research team has developed a computational workflow that predicts metabolites and metabolic pathways associated with somatic mutations in cancers. The workflow uses genome-scale metabolic models and mutation data to identify altered metabolic pathways that contribute to cancer progression.
A KAIST team developed an insect-mimicking semiconductor that mimics the optic nerve of insects to detect motion. The device operates at high efficiency and ultra-high speeds, and has been applied to a neuromorphic computing system for predicting vehicle paths. It achieved 92.9% less energy consumption compared to existing technology.
A recent study published in Cell Genomics has uncovered the quantitative and qualitative mutational impacts of ionizing radiation on normal cells. The research team found that exposure to low levels of radiation resulted in an average of 14 mutations per cell, primarily causing short base deletions and complex genomic rearrangements.
A KAIST research team has developed a biomimetic scaffold that generates electrical signals to promote bone tissue growth, providing a new method for utilizing the unique osteogenic abilities of hydroxyapatite. The flexible and free-standing scaffold demonstrated remarkable potential for promoting bone regeneration in rats.
A KAIST research team has developed a stretchable and adhesive microneedle sensor that can detect physiological signals without being affected by sweat and dead skin. The sensor allows for long-term stable control of wearable robots, enabling precise movement recognition for rehabilitation treatments.
A KAIST research team led by Professor Hawoong Jung identified the principle behind musical instincts emerging from the human brain without special learning using an artificial neural network model. The study found that cognitive functions for music forms spontaneously as a result of processing auditory information received from nature.
A KAIST research team has developed a technique called SynapShot, which allows for the real-time observation of synapse formation, extinction, and alterations. This breakthrough technique uses fluorescent proteins to track changes in synapses, offering new insights into brain function and potentially revolutionizing neurological research.
A KAIST research team developed an anti-icing film coating technology using gold nanoparticles and cellulose nanocrystals. The film can uniformly pattern gold nanorods in quadrants through simple evaporation, achieving enhanced plasmonic photothermal properties.
Researchers at KAIST develop a fluid switch using ionic polymer artificial muscles that operates at ultra-low power and produces a force 34 times greater than its weight. This technology has the potential to be immediately applied in various industrial settings.
A KAIST research team developed a new conductive polymer material that achieved both high electrical performance and elasticity, introducing the world’s highest-performing stretchable organic solar cell. The team built a device that can be stretched up to 40% during operation, demonstrating its applicability for wearable devices.
Researchers at KAIST have developed high-performance strains producing a variety of compounds, including succinic acid, biodegradable plastics, and biofuels. They provide insights into advancements in polyamide monomer production and synthesizing bio-based polyamides through chemical conversion.
Researchers at KAIST have developed a micro-vacuum assisted selective transfer printing (µVAST) technology to improve the transfer of microLED chips. The technology uses laser-induced etching to create micro-hole arrays on glass substrates, allowing for precise alignment and higher adhesion switchability.
Researchers at KAIST have developed eco-friendly technologies for producing plastics and processing waste plastics using microorganisms. The team presented the latest microorganism-based technologies that can produce plastics from renewable biomass resources and decompose waste plastics, contributing to a circular economy.
A new AI-powered satellite analysis technique reveals the economic conditions of regions with limited data, such as North Korea. The approach combines human input with machine learning to provide detailed economic maps and monitor progress towards Sustainable Development Goals.
Researchers used AI to discover 464 types of enzymes in E. coli and verified their predictions through in vitro enzyme assay. The developed AI can predict a total of 5360 enzyme EC numbers, enabling accurate analysis of metabolic processes and development of eco-friendly microbial factories.
Researchers developed a new intravenous needle that softens via body temperature on insertion, reducing tissue damage and blood-borne disease risks. The P-CARE needle's variable stiffness characteristics make it flexible upon insertion, allowing for more comfortable injections.
A novel computer simulation program 'iBridge' was developed at KAIST to predict gene targets for efficient production of valuable compounds in microbial cell factories. The system successfully established E. coli strains capable of producing three high-demand compounds, including panthenol and nylon components.
A KAIST research team has identified excessive astrocyte-mediated synapse removal as the cause of mental diseases induced by childhood abuse trauma. This mechanism is linked to stress hormones and can lead to abnormal neural networks and complex behavioral abnormalities.
Researchers at KAIST have developed microbial cell factories that can produce a variety of food and cosmetic compounds, including natural pigments, flavors, and functional compounds. These eco-friendly alternatives can help address global food shortages and environmental concerns.
A KAIST research team created a water-resistant, transparent, and flexible OLED using MXene nanotechnology. The material can emit and transmit light even when exposed to water. The study focused on producing an adequate encapsulation structure and suitable process design to improve the reliability of MXene OLED.
Researchers found that sleep patterns vary significantly across cultures and geographical locations. The study used commercially available smartwatches to collect data from over 52 million individuals in 11 countries, revealing discrepancies between self-reported data and digital logs.
A novel coupling mechanism involving leaky mode has been uncovered, enabling zero crosstalk between closely spaced waveguides. This discovery drastically increases the coupling length of transverse-magnetic (TM) mode, expanding the potential for dense photonic integration.
Researchers discovered a way to dissipate heat near hot spots in semiconductors by utilizing surface plasmon polaritons. The new method increased thermal conductivity by 25% and has implications for high-performance semiconductor device development.
Researchers found that L1 jumping genes can be widely activated in normal cells, leading to the accumulation of genomic mutations over time. The study highlights the critical role of epigenetic changes in regulating L1 jumping gene activity.
Researchers at KAIST have developed a new sRNA tool that can effectively inhibit target genes in various bacteria, including both Gram-negative and Gram-positive bacteria. The BHR-sRNA system was shown to suppress pathogenicity in antibiotic-resistant pathogens and improve industrial strains for high-value-added chemical production.
A KAIST research team has developed a highly sensitive, wearable piezoelectric blood pressure sensor for continuous health monitoring. The sensor's accuracy meets international standards, with errors within ±5 mmHg and a standard deviation under 8 mmHg for both systolic and diastolic blood pressure.
Researchers at KAIST have successfully developed a new X-ray microscope technology that can overcome the resolution limitations of existing microscopes. This breakthrough enables high-resolution imaging of nanoscale structures, with a resolution of 14 nm, which is comparable to that of electron microscopes. The technology uses random d...
Researchers at KAIST have developed a hybrid system that combines electrochemical CO2 conversion with microbial bioconversion to produce bioplastics. The system resulted in the world's highest productivity, producing up to 83% of cell dry weight as bioplastic from CO2.
A KAIST research team has developed an advanced AI-based drug interaction prediction technology that analyzed the interaction between Paxlovid ingredients and other prescription drugs. The study identified potential drug-drug interactions and alternative drugs with low adverse effects, which can aid in developing new treatments.
A research team led by Professor Kwang-Hyun Cho at KAIST has developed a fundamental technology to revert metastatic lung cancer cells to a non-metastatic state. This breakthrough could lead to the elimination of drug resistance and metastatic potential in cancer cells, while increasing their responsiveness to chemotherapy.
Researchers found that female lymphoma patients who received afternoon chemotherapy had a 12.5 times reduced mortality rate and a 2.8 times decreased cancer recurrence rate compared to morning treatment. This is due to the body's natural circadian rhythm, which affects white blood cell counts and bone marrow proliferation.