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SEOULTECH Researchers Develop a Reliable AI System for SSD Failure Prediction
2026-09-14
An AI approach helps distinguish genuine SSD failures from false failure reports in large-scale data centers In data centers, large numbers of Solid-State Drives (SSDs) support critical operations. Thus, accurately predicting drive failures in data centers is essential to avoid disruptions and data loss. Now, researchers from South Korea developed a new AI approach that can learn from imperfect failure reports by grouping reported SSDs from ...
Watching Sports on YouTube Doesn’t Mean You’ll Get Off the Couch, New Research Shows
2026-09-10
College students who engage with sports content online are no more likely to participate in real-world physical activity YouTube is a popular source of sports content among college students, but engaging with sports videos does not necessarily translate into greater physical activity. Researchers at Seoul National University of Science and Technology surveyed university students, examining whether their motivations and perceptions of YouTub...
Develops AI Framework to Test and Improve Vision-System Robustness
2026-08-26
AdvWT is a framework that uses realistic fading, cracks, and corrosion to test vulnerabilities in AI vision systems used in safety-critical applications A new artificial intelligence (AI)-based system shows how natural damage to traffic signs can mislead deep neural network (DNN)-based vision systems. The framework, AdvWT, uses a generative model to learn realistic damage patterns and then optimize them to trigger misclassification. Te...
Explore How Probabilistic Analysis Can Help Improve Nuclear Safety
2026-08-21
Researchers evaluate the rupture probability of coolant pipes in nuclear power plants using a probabilistic framework Traditional approaches for designing primary coolant pipes in nuclear power plants consider highly unlikely, extreme scenarios. Estimating pipe rupture frequency is a more practical approach. In a new study, researchers investigated the pipe rupture frequency of coolant pipes using a probabilistic framework that accounts for...
Developing an AI Framework for Optimizing Solid Oxide Electrolysis Cells
2026-08-20
A new framework rapidly identifies the best operating conditions for solid oxide electrolysis cells, advancing efficient hydrogen production As countries invest in green hydrogen to decarbonize heavy industry, transportation, and energy systems, researchers are seeking faster ways to accelerate the development of hydrogen technologies. Solid oxide electrolysis cells are among the most efficient systems for producing green hydrogen from steam...
SEOULTECH Researchers Reveal New Multi-Scale Monitoring Framework for Detecting Hidden Structural Weaknesses in Urban Metro Corridors
2026-08-19
Researchers develop a new continuous monitoring framework for detecting ground settlement over wide urban areas Ground settlement can threaten the safety of critical public infrastructure, including subway systems, necessitating continuous monitoring. However, current techniques are limited in continuous large-area monitoring. In a new study, researchers have developed a new multi-scale remote sensing framework that combines three different ...
Develops an AI Framework for Long-Term Bridge Damage Monitoring
2026-07-30
Researchers create an automated computer vision system that tracks and measures bridge damage over time using routine drone inspections Bridges naturally develop cracks, spalling, and water leakage as they age, making regular inspections essential. However, these inspections are often labor-intensive and costly. To address this, researchers in South Korea have developed an AI-powered computer vision framework. The system combines routine dro...
Perilla Oil Improves Blood Circulation and Coagulation in Healthy Smokers
2026-07-27
Researchers investigate the effects of perilla oil supplementation on blood flow and inflammatory biomarkers α-linolenic acid (ALA), an essential omega-3 acid, is known to have anti-inflammatory and antioxidant properties and could help support cardiovascular health. Although perilla oil, which is widely consumed in South Korea, is composed of up to 70% ALA, its positive cardiovascular effects are underexplored. In a new study, r...
Researchers Develop New Strategy for Designing Ultra-Fast Charging Batteries
2026-07-24
Researchers have developed off-stochiometric anode materials capable of safe, ultra-fast charging Image title: Proposed off-stochiometric design strategy for LTP anodesImage caption: LTP anodes designed using the proposed off-stochiometric strategy exhibit high-rate capability and durability over hundreds of charging cycles. Moreover, they also demonstrate universal compatibility with high-voltage cathodes.Image credit: Associate Profe...
Researchers Develop Energy-Saving TPMS Feet for Quadruped Robots
2026-07-23
Compressible 3D-printed TPMS feet , when paired with a deep reinforcement learning controller, cut power consumption by up to 6.2% Quadruped robots consume more energy than wheeled robots, limiting how long they can operate. Researchers developed compressible 3D-printed porous foot pads that act like springs, storing and releasing mechanical energy during walking. Combined with a deep reinforcement learning controller that learns ener...
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About SEOULTECH
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