New technology introduced by SEOULTECH researchers offers transparent windows that protect buildings from electromagnetic pulses, vital for infrastructure.

Investigadores de SeoulTech (Corea del Sur) desarrollaron un framework para someter a sistemas de visión por computadora a pruebas de estrés y mejorar su resistencia ante ruido, oclusiones y perturbaciones adversarias.

Investigadores de SEOULTECH (Seoul National University of Science and Technology) desarrollaron un framework de inteligencia artificial para monitorear el daño estructural de puentes a lo largo del tiempo, sin depender solo de inspecciones visuales periódicas.

Supabase is coming to Seoul! Join us and celebrate with the community. Take part in this tech get-together, networking opportunities, talks, and of course, swag. ​​​​We'll have great conversations, ...

Seoul National University of Science and Technology developed an AI-driven tool that translates patent vacancies into comprehensible abstracts, facilitating innovation discovery.

Recent findings from researchers at Seoul National University of Science and Technology reveal alarming levels of carcinogenic compounds like PAHs in common foods, raising health concerns.

Hydrogen fuel cell heavy-duty trucks offer a cleaner alternative to diesel transport, but public support is essential for large-scale adoption. In a new study, researchers surveyed households in South...

In a striking advancement poised to transform the landscape of technology forecasting, researchers from South Korea and the United States have pioneered an innovative methodology that transcends traditional patent mapping to uncover hidden technological possibilities. Guided by Professor Hakyeon Lee of Seoul National University of Science and Technology, this groundbreaking approach leverages sophisticated machine learning techniques—particularly the text embedding inversion method—to decode the often opaque voids in patent distributions into comprehensible, actionable insights.

SEOULTECH's new sodium-based electrochromic windows are set to revolutionize energy efficiency in buildings, blocking infrared heat effectively while offering cost savings.

In an impressive stride for the realm of soft robotics, a team of researchers, spearheaded by Professor Hyunsik Yoon from the Chemical and Biomolecular Engineering department at the Seoul National University of Science and Technology, has unveiled a transformative innovation inspired by a formidable marine creature: the starfish. This revelation, detailed in their recent publication in the journal Science Advances…

Researchers at Seoul National University of Science and Technology (SEOULTECH) have developed a Kombucha SCOBY (Symbiotic Culture of Bacteria and Yeast) bioink that could streamline in vivo tissue engineering....

In the rapidly evolving landscape of wearable technology and robotics, the development of highly sensitive, reliable tactile sensors remains a critical challenge. These sensors convert mechanical stimuli such as pressure and force into measurable electrical signals, enabling devices to interact intelligently with their environment. Now, a pioneering research team from Seoul National University of Science and Technology, led by Mr. Mingyu Kang and Associate Professor Dr.

SEOULTECH researchers reveal that South Korean households are willing to invest in hydrogen fuel cell heavy-duty trucks to reduce CO2 emissions, signaling strong public support.

In the rapidly evolving world of soft materials, a groundbreaking innovation has emerged from the realm of hydrogels, promising greater precision in the manipulation of pore structures. A team of researchers led by Professor Hyunsik Yoon at the Seoul National University of Science and Technology has developed an innovative facet-driven folding strategy. This method significantly enhances the control over how hydrogel pores behave in response to environmental stimuli, departing from traditional circular designs that often led to unpredictability in pore dynamics.

Photo-induced addition reactions of acylsilanes have been developed as an efficient method to access α-aminoketones via in situ generated siloxycarbenes, which act as nucleophiles. This method display...

Researchers in South Korea have developed an artificial intelligence framework that uses realistic wear and tear on traffic signs to test vulnerabilities in computer-vision systems, raising questions about whether everyday deterioration such as fading, cracks and corrosion could cause AI models to misclassify signs. The framework, called Adversarial Wear and Tear (AdvWT), was developed by researchers from Kyung Hee University and Seoul National University of Science and Technology (SEOULTECH). The researchers say it can be used both to expose weaknesses in AI systems and to improve their ability to recognize objects that have deteriorated naturally.