A joint research team at KAIST developed a technique for facial expression detection using near-infrared light-field cameras and AI technology. The resulting NIR-based light-field camera (NIR-LFC) acquired high-quality 3D reconstruction images of facial expressions regardless of lighting conditions.
A KAIST research team found that visual selectivity of facial images can arise spontaneously in completely untrained deep neural networks. This discovery reveals the emergence of primitive visual cognitive functions in biological and artificial neural networks, raising questions about the origin of early brain functions.
Researchers from KAIST have developed a new technology to stabilize the electrode-electrolyte interface of lithium metal batteries, leading to improved performance and lifespan. The technology uses fluorine- and nitrogen-donating ionic additives to create a dual-layer solid electrolyte interphase.
Researchers used mathematical models and genetic analysis to identify key gene regulators that can switch aggressive basal-like breast cancer into less dangerous luminal-A. This approach could lead to novel therapeutic targets for treating many other types of cancer.
Researchers create a wireless ecosystem with implantable devices and IoT infrastructure to control animal brain circuits remotely, speeding up neuroscience studies and uncovering basic brain functions.
Researchers at KAIST discovered a single amino acid change in the PTEN protein that improves health status while retaining longevity. The study, published in Nature Communications, highlights the potential for targeting this protein to develop therapies for promoting healthy longevity.
A study analyzing player experiences with The Last of Us Part II found that player-character relationships significantly affected game satisfaction. Researchers discovered three key factors influencing players' emotional responses, including tolerance of forced character switches and flexibility of attachment.
Scientists have developed a technique called crystal capillary origami, where salt crystals form into spherical shells to enclose water-oil emulsions. The process utilizes Laplace pressure to drive the crystallite plates to cover the surface of the liquid.
A research team developed a new material platform by transferring chirality from molecular to microscale through self-assembly. The resulting chiral nanomaterials exhibit broad optical activity in the short-wave infrared region, enabling applications such as infrared neural stimulation and imaging.
Researchers developed a thin polymeric sensor platform on an RFA needle to monitor temperature and pressure in real time, detecting steam pops and accelerating ablation processes. The integrated sensors may provide valuable information for safer surgical procedures and more effective medical treatments.
A new deep neural network-based forward design approach explores material design space beyond the initial training set through active transfer learning and data augmentation. The framework provides an efficient search, mitigating the limitation of weak predictive power on unseen domains.
A novel method allows for the dynamic tracking and identification of tissue-specific secretory proteins in live mice, revealing distinct patterns from cell culture models. This breakthrough technique can be used to discover biomarkers and therapeutic targets with greater accuracy.
A recent research on electric dance music DJs found that those with a distinct genre identity and network positions combining brokerage and cohesion tend to have higher social standing. The study analyzed playlist data from 815 DJs and found that focused musical identity is correlated with social standing among EDM DJs.
A new technique developed by KAIST researchers uses a 'nanoscale focus pinspot' to isolate and enhance the quality of quantum emitters. By reducing unwanted background noise without altering the optical properties, this method enables the production of single, pure photons with improved purity.
Researchers at KAIST used whole-genome sequencing to track human embryonic development from fertilized egg to fully grown adult. The study identified key characteristics of the developmental process, including mutation rates and unequal cell contribution.
A study by KAIST scientists shows that neurons carrying somatic mutations in MTOR can lead to focal cortical dysplasia, the most common cause of uncontrolled seizures. Nearby non-mutated neurons become hyperexcitable due to adenosine kinase overproduction, triggering seizures.
Researchers at KAIST have developed a brain-inspired highly scalable neuromorphic hardware by co-integrating single transistor neurons and synapses. This innovation dramatically reduces hardware cost and accelerates the commercialization of neuromorphic hardware, enabling its application in mobile and IoT devices.
A KAIST study found that specific macrophages play a key role in lung damage during COVID-19. The research provides new insights into dynamic immunological changes and could lead to more precise use of immunosuppressive agents.
Researchers use 3D visualization to analyze bioplastic granule accumulation in bacteria, providing insights into sustainable plastic substitutes. The study found distinctive differences in PHA granule density and localization between microorganisms.
A KAIST research team developed a hydrogel-based flexible brain-machine interface that can detect neural signals for up to six months. The device minimizes foreign body responses by mimicking the properties of surrounding tissues when exposed to body fluids.
A joint research group from KAIST and Institut Pasteur Korea has identified 38 potential repurposed drugs for COVID-19 treatment using a virtual screening strategy. Seven compounds inhibited SARS-CoV-2 replication in human lung cells, showing anti-SARS-CoV-2 activity.
Scientists at KAIST developed a laser system generating highly interactive quantum particles at room temperature, which can recycle lost energy to achieve lower threshold energy levels. The system exploits parity-time reversal symmetry, allowing energy loss to be used as gain for high-efficiency and low-threshold lasers.
Most COVID-19 patients develop and maintain T cell memory for over 10 months, suggesting effective long-term immunity. The study provides new insights into vaccine development by revealing the self-renewal capacity and multipotency of memory T cells.
A recent study found that urban green spaces, including parks and gardens, have a positive correlation with citizen happiness. The study analyzed data from satellite images of 60 countries and found that the area of green space acted as a more important factor affecting happiness in countries with higher GDP per capita.
International collaboration identifies four correlated metals in two-orbital systems, including a Hund's metal that can give rise to superconductivity. The discovery overturns conventional wisdom and opens up new avenues for understanding strongly correlated materials.
A research group at KAIST successfully produced seven natural rainbow colorants, including carotenoids and violacein derivatives, using engineered Escherichia coli strains. The strategies developed can be applied to the efficient production of other industrially important natural products.
A recent KAIST study revealed that the ventral striatum is a neural basis for our habitual seeking behavior, including addiction. The research found that long-term value memories are retained in the ventral striatum and guide automatic evaluations of objects based on positive values.
Decitabine, used to treat blood cancers like MDS and AML, works by activating endogenous retroviruses that induce an immune response. The study found two key gene sequences involved in this process, Staufen1 and TINCR, whose expression levels determine a patient's response to the drug.
A new study using fruit flies has uncovered the mechanism behind a gut hormone's role in inducing cravings for protein-rich foods. The research found that CNMamide, released by enterocytes in response to protein deprivation, conveys nutrient status to the brain, triggering a desire to consume essential amino acids.
KAIST researchers have developed a deep learning approach to accurately determine the 3D surface atomic structure of nanoparticles. The method enhances precision by nearly 70% and improves surface atom identification, enabling the study of catalytic properties at the atomic scale.
Distinguished Professor Sang Yup Lee at KAIST was elected as a foreign member of the Royal Society, one of the world's most prestigious national science academies. He is recognized for his pioneering work in systems metabolic engineering and developing micro-organisms for producing fuels, chemicals, and natural compounds.
A KAIST research team creates T-GPS, enabling the processing of large-scale graphs without storing them in main memory or on disks. This allows for faster computation and reduced costs compared to traditional approaches.
Centrifugal multispinning technique offers safer and cost-effective mass production of high-performance polymer nanofibers. Researchers successfully fabricate face masks with comparable filtration performance to existing KF80 and KF94 masks.
Researchers at KAIST successfully produced carminic acid from glucose in engineered Escherichia coli, overcoming the need for complex purification processes and protein contaminants. The development of a generally applicable C-glucosyltransferase also enables the production of other valuable natural products.
Researchers at KAIST develop M3I3 Initiative to speed up materials development using multiscale/multimodal imaging and machine learning. The team creates a quantitative model using machine learning and presents a future outlook for advancements in materials science.
Researchers at KAIST discovered that plasma jets produce more stable interactions with water surfaces compared to neutral gas jets, reducing bubbling and splashing. The study's findings will help improve our understanding of plasma-liquid interactions and their applications in various industrial fields.
Researchers successfully demonstrated a new methodology for direct near-field optical imaging of acoustic graphene plasmon fields. This strategy will provide a breakthrough for the practical applications of acoustic graphene plasmon platforms in next-generation optoelectronic devices.
The Korea Advanced Institute of Science and Technology (KAIST) has been featured in a special virtual issue of ACS Nano, highlighting its collective intelligence and technological innovation. The issue showcases KAIST's vision of becoming a global value-creative leading university and its progress over the last 50 years.
A new silicone-based patch fabrication technique fabricates thin patches that rapidly wick water away from the skin, reducing skin irritation caused by wearable biosensors. The technique was developed to improve comfort and performance of wearable bioelectronics.
A research team at KAIST has developed a highly deformable ceramic piezoelectric material that can convert mechanical stimuli into electrical signals. The material's elastic strain limit is three times greater than that of bulk zinc oxide, making it suitable for advancing high-performing haptic technology.
Researchers developed a wireless, rechargeable soft brain implant that can be controlled wirelessly by a smartphone, allowing seamless chronic neuromodulation. The device uses micrometer-sized LEDs to manipulate target neurons in the deep brain, enabling real-time brain control and reducing the burden on patients for long-term use.
Researchers discovered that orthogonal organization in retinal mosaics is mirrored onto the primary visual cortex, initiating clustered topography of higher visual areas. This finding provides insights into efficient sensory information processing and developmental strategy of brain circuitry.
Researchers at KAIST develop novel biosynthetic pathways for short-chain primary amines through retrobiosynthesis, expanding the strategy for bio-based production of chemicals. The team successfully produced multiple short-chain primary amines using Escherichia coli strains and renewable resources.
A joint research team developed DeepTFactor, a deep neural network predicting transcription factors from protein sequences. The tool uses three parallel convolutional neural networks and predicted 332 transcription factors of Escherichia coli K-12 MG1655.
In adult brains, astrocytes eliminate excessive and unnecessary synapses to maintain plasticity. This process is crucial for controlling synapse numbers and neural circuit maturation.
Researchers from KAIST and Florida State University developed a model describing PER molecule motion in cells, showing how aging and diseases disrupt circadian rhythms by hindering condensation around the cell nucleus. This leads to irregular sleep-wake cycles and unstable rhythms.
KAIST researchers have synthesized nanoparticles that emit multiple wavelengths of light from a single particle, allowing for the control of these particles' properties and creation of environmentally responsible displays and lighting. The discovery also sheds new light on the mechanisms governing the optical properties of carbon dots.
A comprehensive review of biosynthesis methods for diverse inorganic nanomaterials produced under mild conditions by microorganisms and bacteriophages, highlights strategies for improving producibility and crystallinity.
A KAIST research team used simulations to identify an enzyme that can reverse cellular senescence, a natural process contributing to aging and age-related diseases. By targeting the enzyme PDK1, cells were able to re-enter the cell cycle without proliferating abnormally.
A novel engineered C. glutamicum strain can produce high-level glutaric acid from glucose, breaking the record for the highest titer ever reported. The new strategy employs systems metabolic engineering strategies, including introducing Pseudomonas putida genes and optimizing culture conditions.