Researchers employed a computer algorithm to analyze nearly 15,000 landscape paintings, finding that compositional structures evolved systematically over time. The study suggests a potential bias in art curators' and historians' selections, contradicting the prevailing view of diverse artistic expression.
Researchers have discovered a way to produce nanoribbons of TMDs, which are more abundant and cheaper than platinum, boosting their catalytic efficiency. The new catalyst could make hydrogen production more economical and play a key role in the transition away from fossil fuels.
A team at KAIST developed an E. coli strain that can grow up to 11-fold higher cell density using CO2 and formic acid as sole carbon sources. The engineered strain shows promise for producing chemicals from these carbon sources, a crucial step forward in biorefinery production.
Researchers from KAIST applied deep learning techniques to identify abnormal brain structures associated with autism. These findings suggest AI can aid in more consistent diagnoses than human observations alone. The analysis tool provides a prognosis of how the condition could develop.
Researchers identified key markers that can pinpoint patients at risk of severe COVID-19, associating neutrophil cells and glucocorticoid receptors with disease severity. This finding could lead to personalized treatment approaches for patients with reduced glucocorticoid receptor expression.
A new wearable piezoelectric harvester using hot pressing and tape casting fabrication process has record high interfacial adhesion strength, enabling durable wearable devices. The study uses a surface and interfacial cutting analysis system to measure adhesion strength.
Researchers developed an open-source 'OpenExpress' technology to improve NVMe performance and accessibility. The new tech achieved parallel data input/output processing, increasing bandwidth by 76% and reducing input/output delay by 68%.
Researchers used computational simulations to show that spontaneous retinal waves can generate long-range horizontal connectivity in the visual cortex, resolving a long-standing puzzle. The findings suggest that neural circuits must begin developing earlier than sensory input to prepare the brain for vision.
Researchers developed a novel technology to create a sulfur-containing polymer (SCP) film with excellent environmental stability and chemical resistance, exhibiting a high refractive index of 1.9 while being fully transparent in the entire visible range.
Researchers at KAIST discovered that tweaking roundworm proteins can boost lifespan and activate AMPK, a key player in cellular energy monitoring. This mechanism may be applied to developing longevity-promoting drugs for humans.
The SoundWear device uses sound augmentation to expand children's play experience, triggering imagination and distinct play behaviors. It also helps children gain a sense of achievement and ownership towards sound.
KAIST researchers used AFM to analyze the effects of acidic and sugary drinks on human tooth enamel at the nanoscale level. The study found significant increases in surface roughness and decreases in elastic modulus with immersion time, highlighting the need for thorough studies on early-stage enamel erosion.
A study by KAIST researchers used X-ray scattering to track protein folding, revealing multiple forms of an unfolded protein follow different pathways and timelines. The findings could improve computer simulations, paving the way for better disease studies and drug development.
A new quantum classifier introduces a tailored quantum kernel, outperforming AI technology and enhancing classification tasks with small datasets. The method exploits the quantum advantage in finding non-linear features, leading to significant improvements.
A deep-learning powered single-strained electronic skin sensor captures complex five-finger motions in real-time, creating a virtual 3D hand. The sensor's rapid situation learning system ensures stable operation regardless of its position on the skin.
Researchers at KAIST designed nanoparticles that significantly reduce cholesterol and macrophage foam cells in arteries, two key triggers of atherosclerotic plaque. The combination drug delivery therapy showed great potential for treating and preventing atherosclerosis with reduced side effects.
Researchers have developed a novel electrode material that allows for direct charging of oxygen from the air, improving lithium-oxygen battery performance. The new strategy involves stabilizing atomic-level electrocatalysts within metal-organic frameworks, resulting in reduced overpotential and increased life cycle.
KAIST researchers developed an algorithm for automated 3D brain imaging data analysis, enabling precise and quantitative mapping of complex neural circuits. The new technology allows for accurate comparison of brain data from different animals and improves the accuracy and consistency of analysis results.
The Mole-bot, a biomimetic drilling robot, has been optimized for underground and space exploration. It boasts powerful forelimbs, a stout scapula, and an expandable drilling bit that can excavate three times faster than conventional models with six times higher directional accuracy.
Researchers at KAIST developed a novel approach to modulate local CO2 concentration in gas-diffusion electrode-based flow electrolyzers. This method improves the selectivity, conversion rate, and electrode stability, promoting C-C coupling reactions for multi-carbon molecule production.
A new easy-to-use smart optical film technology has been developed, enabling smart windows to switch between transparent and opaque states. The film demonstrates high speed and performance, allowing for fast switching and uniform tinting while securing durability, stability, and safety.
Researchers at KAIST developed a universal virus detection platform using reactive polymer-grafted double-stranded RNAs, which can detect viruses without prior knowledge of their genomic sequences. This platform provides enhanced sensitivity and can be used to quickly differentiate infected populations from non-infected ones.
A new visualization method using atomic force microscopy is developed to determine the distribution of components in battery electrodes, providing insights into optimal composite electrode conditions. The method has potential to improve performance and safety of all-solid-state lithium-ion batteries.
Researchers at KAIST have developed a graphene-based active spintronic component that efficiently generates, controls, and detects spin currents. By stacking graphene on top of 2H-TaS2, they increased the spin-orbit coupling of graphene, paving the way for its use in spintronic applications.
A new computational approach calculates the quasi-Fermi levels in molecular junctions, offering a better understanding of semiconductor devices at the nano-scale. This breakthrough could enable more accurate descriptions of underlying physics and improve the efficiency of nano-scale transistors.
Researchers developed simple molecular reagents that can simultaneously target and modulate various pathogenic factors in Alzheimer's disease. The reagents displayed redox-dependent reactivities against free radicals, metal-free and metal-bound amyloid-beta, and led to chemical modifications that altered its aggregation.
A research team has developed a microbial strain capable of producing succinic acid with the highest production efficiency to date. The strain, isolated from a Korean cow's rumen, was engineered through systems metabolic engineering and enzyme engineering to produce 134 g per liter of succinic acid.
A study by Korean researchers found that breastfeeding lowers maternal postpartum diabetes incidence and improves metabolic health through serotonin production. The research showed sustained improvements in pancreatic beta cells lasting years after lactation cessation, reducing the risk of developing diabetes.
Researchers at KAIST found that neuropeptide somatostatin improves visual processing and cognitive functions by reducing excitatory inputs to parvalbumin-positive interneurons. The study provides a new insight into the therapeutics of neurodegenerative diseases, particularly Alzheimer's disease.
A new type of solar cell with a wide bandgap perovskite material has been developed to improve efficiency and durability. The researchers achieved a 26.7% efficient power conversion rate in their double layer solar cell, with the material retaining 80% of its initial capability after 1,000 hours of continuous illumination.
Researchers at KAIST developed a novel wearable strain sensor that overcomes limitations of conventional sensors. The sensor demonstrates high sensitivity, flexibility, and stretchability while being environmentally stable, making it suitable for healthcare applications.
A research group at KAIST has developed an ultracompact camera that captures high-contrast and high-resolution images. The camera's unique design, inspired by the paper wasp species Xenos peckii, combines micro-optical elements for improved image quality and reduced thickness.
Researchers at KAIST developed a 3D hierarchically porous nanostructured catalyst that efficiently converts CO2 to CO, overcoming mass transport limitations. The new catalyst shows high selectivity and mass activity, promising large-scale applications for green energy.
A KAIST research team identified a retino-cortical mapping ratio as the prime determinant in the topography of cortical organization, resolving a long-standing puzzle in understanding visual neuroscience. The study found that evolutionary variation in biological parameters induces distinct functional circuits in the visual cortex acros...
Researchers developed a small molecule that can modify the coordination sphere of copper bound to amyloid-β, inhibiting its aggregation and toxicity. The study offers insights into chemically modifying neurotoxicity in Alzheimer's disease.
Researchers at KAIST have created stretchable OLEDs with a unique stress-relief substrate design featuring pillar arrays that reduce stress on active areas under strain. This technology enables 2D stretchability, overcoming commercial limitations of traditional OLEDs.
Researchers developed a black phosphorus transistor with 10-times lower switching power consumption and 10,000-times lower standby power consumption than conventional CMOS transistors. The transistor achieves record-low subthreshold swing values and high on-state current, paving the way to extend Moore's Law.
A new black phosphorus transistor has been developed that shows 10-times lower switching power consumption and 10,000-times lower standby power consumption than conventional transistors. The transistor can replace CMOS transistors with fast and low-power operations.
Researchers have designed a new graphene-based metasurface capable of independently controlling light's amplitude and phase. This breakthrough technology has the potential to revolutionize optical devices such as holography, high-resolution imaging, and optical communication systems.
Researchers at KAIST have developed a long-lasting and economical catalyst that converts greenhouse gases into hydrogen gas and fuel. The catalyst, made from nickel, magnesium, and molybdenum, can work efficiently for over a month without degrading.
A new blood test uses a carbon nanotube-based sensor to detect Alzheimer's disease with high accuracy, measuring key biomarkers in human plasma. The test achieved an average sensitivity of 90.0% and selectivity of 90.0%, outperforming conventional biosensors.
Researchers at KAIST have discovered mechanisms that fuel a 'domino effect' in cancer drug resistance, enabling failed responses to paclitaxel to speed up the evolution of resistance to other drugs. The study suggests a new strategy for improving second-line cancer treatment.
A team of researchers at KAIST has discovered a novel approach to reprogram healthy colon cells into non-cancerous ones by reducing the activity of a master regulator protein called SETDB1. This method could lead to more effective and less painful cancer treatment options.
Researchers at KAIST discovered a computational and neural mechanism for human meta reinforcement learning, enabling the porting of key human intelligence elements into AI algorithms. The study highlights how humans adapt to complexity and uncertainty in decision-making.
Researchers have uncovered how histone chaperones use chemical energy to assemble chromatin, a critical process in gene expression regulation. The discovery sheds light on the misregulation of chromatin structures and their role in developmental disorders and cancers.
A KAIST research team created a highly sensitive wearable pressure sensor for continuous health monitoring. The sensor overcomes issues of limited stretchability and signal drifting with its integration of liquid metal, achieving an extremely low detection limit and enhanced pressure sensitivity.
A KAIST research team has developed a gallium-based metal complex enabling the rapid chiral analysis of alcohols using nuclear magnetic resonance spectroscopy. This new method can determine enantiomeric excess within minutes, benefiting researchers in organic chemistry and the pharmaceutical industry.
Researchers at KAIST developed AI technology that automatically detects safe moments for AI agents to provide conversation services to drivers. The technology was tested on a real-world driving dataset and demonstrated an accuracy of 87% in determining opportune moments for driver interruption.
Scientists have developed a protocol to measure ultrafast electronic dynamics with picosecond resolution, revealing the spatial oscillation of electrons at sub-terahertz frequencies. The detection scheme utilizes a quantum-mechanical resonant state formed beside the trap, providing new insights into nano-electronics and quantum computing.
A KAIST team has designed a new strategy for electronics that can mechanically transform into a wearable electronic device. The platform allows users to seamlessly tune its stiffness and shape, offering robust and convenient interfaces for various applications.