Korea Central News Net

Tag: technology

  • Hyundai Elevator releases ‘2024-25 ESG Report’

    Cover of Hyundai Elevator’s ‘2024-25 ESG Report’ | Image by Hyundai Elevator

    Hyundai Elevator has released its ‘2024-25 ESG (Environmental, Social, and Governance) Report,’ detailing the company’s sustainability performance and strategy for the year 2024.

    Environmental improvements are particularly notable in this report. It highlights a 12.4% reduction in greenhouse gas emissions compared to the previous year, the expansion of environmental data disclosure to subsidiaries, and a full product life cycle environmental impact assessment.

    In fact, total greenhouse gas emissions were reduced by 60% compared to the 2022 baseline. This achievement is credited to the expansion of solar power systems not only on factory rooftops but also in parking areas, along with company-wide carbon reduction initiatives. Hyundai Elevator has set a goal of achieving carbon neutrality by 2050.

    The company also unveiled the results of its Life Cycle Assessment (LCA) for the first time. The LCA quantifies the environmental impact of a product from design and production to use and disposal, and it is expected to serve as a new benchmark for future eco-friendly product development.

    For the first time, Hyundai Elevator also disclosed environmental data from overseas subsidiaries and affiliated companies. This move signals the company’s commitment to transparently providing comprehensive information to all stakeholders and to continuously expanding the scope of its ESG activities.

    Hyundai Elevator is also expanding its corporate social responsibility efforts. After launching a choir for people with disabilities called the “Ollak Choir,” the company also hired baristas with disabilities to operate an in-house welfare cafe, contributing to job creation. In addition, the company is involved in activities such as removing invasive plant species from the local Binaeseom Island to preserve biodiversity, and continues to engage in donations, sponsorships, and volunteer work to foster a culture of mutual growth.

    In the area of corporate governance, several improvements are also underway. The company avoided holding its annual general shareholders’ meeting on the peak date and now holds internal audit committee meetings at least once per quarter, demonstrating efforts to enhance internal control. It also established a foundation for introducing a pre-dividend, post-investment system by allowing the board to set dividend record dates, thus improving dividend predictability.

    Hyundai Elevator stated that it views sustainability as a core management principle and is committed to achieving tangible results across all ESG domains. The company added that it will continue to strengthen its ESG management system to meet global standards.

    Hyundai Elevator launched full-scale ESG management in 2022 and declared a mid-to-long-term plan to achieve carbon neutrality by 2050. It has also actively pursued initiatives such as strengthening board independence, building an inclusive organizational culture, and conducting community-linked social contribution activities.

  • AI-based otitis media diagnostic solution ‘ECHO dot AI’ set for release: AIDOT leads innovation in on-device medical AI

    AI-powered otitis media diagnostic system ‘ECHO dot AI’ | Image by AIDOT

    AIDOT, a leading Korean company in on-device artificial intelligence (AI) medical devices, is preparing to launch its next innovation, the AI-based otitis media diagnostic system ‘ECHO dot AI.’

    ECHO dot AI is a stand-alone device that operates without internet connectivity or additional security infrastructure. It can be reliably used at clinics, primary care institutions, and healthcare sites in both developed and developing countries regardless of network conditions, providing secure, immediate usability. The product is expected to offer a distinct advantage over conventional solutions in terms of accessibility, cost-effectiveness, and field applicability.

    Its main feature is an AI diagnostic system that quickly and accurately analyzes the severity of otitis media (inflammation of the ear). The system recognizes the ear’s anatomical structure, identifies left and right ears, and precisely extracts the tympanic membrane area. It can capture images of the middle ear and simultaneously measure body temperature, enabling efficient management of a patient’s diagnosis and treatment history. External testing has verified the system’s high diagnostic performance, with sensitivity at 94.74%, specificity at 94.64%, and overall accuracy at 91.01%.

    Professor Jaeho Jung of the Department of Otolaryngology at Hanyang University, who participated in the product’s development, said, “ECHO dot AI can be used without concerns about network or security, making it a breakthrough in improving medical access, cost, and usability in the field. Especially in the post-COVID-19 era, it holds great potential as a solution for quick and accurate diagnosis of otitis media in telemedicine, mobile clinics, and regional medical centers. I expect this new system, with its innovative diagnostics, accuracy, and user-friendly design, to transform the digital healthcare market both at home and abroad.”

    He added, “Once deployed in the field, ECHO dot AI will be a true game-changer, elevating both clinical diagnostic capabilities and the treatment experience for patients. In scenarios involving mass patient occurrences like the COVID-19 pandemic, this device will offer immediate support to frontline medical professionals.”

    ECHO dot AI is already attracting high interest from the medical community and industry ahead of its official launch. AIDOT plans to continue delivering innovative diagnostic solutions worldwide through its on-device AI medical technologies.

    Founded in June 2014, AIDOT is a specialized medical AI development company. Starting with its AI-based cervical cancer screening system ‘Cerviray A.I.,’ the company has expanded its portfolio with the urinary stone diagnostic solution ‘URO dot AI,’ the gastrointestinal endoscopy AI systems ‘GIGA dot AI’ and ‘COLON dot AI,’ and now ‘ECHO dot AI’ for otitis media diagnostics. Its technologies are gaining global recognition through international commercialization.

  • I-Bricks unveils next-generation AI tutor to enable personalized, self-directed learning

    I-Bricks unveils next-generation AI tutor to enable personalized, self-directed learning (AI-generated image) | Image provided by I-Bricks

    AI technology company I-Bricks is launching an advanced AI tutor system designed to deeply analyze learners’ cognitive states and encourage proactive conceptual exploration, aiming to establish a truly personalized and self-directed learning environment.

    While existing AI learning services focus primarily on content recommendation or repetition-based practice, I-Bricks differentiates its technology by integrating a proprietary large language model (LLM) with deep knowledge tracing (DKT) to promote learner autonomy.

    The system analyzes students’ problem-solving histories and conceptual understanding in real time, helping them identify recurring mistakes or areas of confusion. This enables students to check their own understanding and adjust their learning approach accordingly, fostering metacognitive learning activities.

    To enhance metacognition, I-Bricks incorporates two key AI-based technologies into its learning system.

    The first is a deep learning-based knowledge tracing model that monitors students’ problem-solving data and tracks changes in comprehension in real time. This allows the system to pinpoint areas where students struggle and prioritize concepts that need reinforcement.

    The second is an error analysis model based on learning logs, which examines mistake patterns and cognitive processes by analyzing data such as problem-solving sequences, changes in answer choices, and time distribution. This model identifies areas of confusion and repeated errors, allowing targeted intervention.

    Together, these technologies form the foundation of the I-Bricks AI tutor, which is designed to help students explore and understand what they don’t know and why they make mistakes. This empowers learners to actively adjust their learning paths.

    The tutor also incorporates a personalization algorithm that provides motivational feedback based on real-time performance data, helping students stay engaged. Additionally, I-Bricks uses a large multimodal model (LMM) to summarize and present learning materials—text, videos, and slides—improving comprehension and focus.

    At the end of each learning session, a reflection algorithm prompts students to look back on their learning with questions like “How could you solve this next time?” This encourages self-assessment and deeper understanding. A personalized capability graph visually presents changes in performance and highlights strengths and weaknesses, helping learners track their growth and gain motivation.

    CEO Jonghyun Chae stated, “Our ultimate goal is to help every learner realize their full potential through AI tutors, equipping them with the self-directed learning skills needed in today’s world.”

    Currently available for elementary, middle, and high school students, I-Bricks’ AI tutor will continue to evolve through ongoing technological innovation and user experience enhancements.

    The company has also built a strong foundation in the edtech sector. Since 2017, I-Bricks has successfully developed and operated EBS’s AI-based chatbot tutoring service “Danchoo,” now in its fourth iteration. This project laid the groundwork for the current AI tutor, featuring a knowledge tracing model that predicts learning outcomes and offers personalized recommendations across all school subjects.

    Founded in 2016, I-Bricks is a Korean language processing company specializing in hybrid chatbot development, real-time content recommendation based on user behavior, and unstructured data analysis using text analytics. The company is also actively developing compact large language models for generative AI applications.