Mechanical Engineering: Research Guide

기계데이터 챌린지 통해 AI 기반 기계진단 우수 기술 발굴 - PHM Korea 2025 정기학술대회 연계 총 61개 팀 171명 참가, 대상은 한국항공대학교 -- AI-PHM 기술은 자율제조의 핵심... 기계연, 데이터 플랫폼으로 생태계 확산 지원 - □ 한국기계연구원(이하 기계연, 원장 류석현)은 한국PHM학회와 공동 주관으로 「KSPHM-KIMM

기술로 잇는 신뢰와 협력 – 기계연·동명대 MOU 체결 차세대 국방기술 공동연구부터 지역혁신 기반 강화까지… 실질적 학연 협력 본격화 한국기계연구원(원장 류석현, 이하 기계연)과 동명대학교(총장 이상천)는 6월 20일(금), 부산 동명대학교에서 공공연구기관과 대학 간 협력 강화를 위한 업무협약(MOU)을 체결했다. 이번

Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from natural language descriptions. However, when a typical example like the Stable Diffusion model is given the text "creative," its ability to generate truly creative images remains limited.

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI-like chatbots so good at understanding and using words. The work is published in the journal Physical Review X.

Imagine you are in a vast library with no catalog, typing random words into a search bar and hoping to stumble upon the exact book you need. That has been the reality for many roboticists trying to find the right ROS (Robot Operating System) package. With over 7,500 options available, keyword searches often return irrelevant results, wasting developers' precious time and energy.

식품 신선도를 실시간으로 알 수 있는 스마트 포장 센서 개발 – 나노기술 기반 유연 SERS 센서 플랫폼으로 포장지 뜯지 않고도 식품 안전 모니터링 – 국가과학기술연구회(이사장 김영식) 산하 한국기계연구원(원장 류석현, 이하 기계연) 나노리소그래피연구센터 정준호 책임연구원 연구팀은 국립한밭대학교, 고려대학교 세종캠퍼스와 공동으로 식품

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft?

K-Machine 기계연, 'K-CNC' 개발로 공작기계 국산화 길 성큼! - 기계연, 국내 산학연 CNC 개발 역량 총 집대성한 ‘K-CNC' 시스템 개발 - - 국내 제조업체와 공동 실증으로 가공 성능 입증 - - ’공작기계의 두뇌‘ 핵심부품 기술 자립 실현 및 미래 제조혁신 견인 - □ 디지털 첨단 제조공정에서

더불어민주당 황정아 의원, 한국기계연구원 방문… 신진연구자 등과 과학기술계 발전 새 길을 모색하다 □ 더불어민주당 황정아 국회의원(대전 유성을)은 6월 17일(화) 국가과학기술연구회 산하 한국기계연구원(원장 류석현, 이하 기계연) 대전 본원을 방문해 정책간담회를 갖고 연구현장의 애로사항을 청취하고 과학기술 정책 방향을 토론했다. □ 이번

At the dawn of computing, women were the early adopters of computational technology, working with punch cards in what was then considered secretarial work. As computer science evolved into a prestigious field focused on algorithms and theory, women became—and remained—underrepresented. Today, only 23% of bachelor's and doctoral degrees in computer science are awarded to women, and just 18% of full professors are women—fewer than in the 1980s.

기계연, 바이오파운드리 장비 국산화·지능화 시동… 디지털 바이오 혁신 본격화 - 바이오파운드리 핵심기기 및 장비 고도화 기술개발사업 출범식 개최 □ 한국기계연구원(원장 류석현, 이하 기계연)은 6월 17일(화) 대전 본원 본관동 대회의실에서 「바이오파운드리 핵심기기 및 장비 고도화 기술개발사업」 의 출범식을 개최하고, 국내 바이

Research has shown that large language models (LLMs) tend to overemphasize information at the beginning and end of a document or conversation, while neglecting the middle.

Today's generative artificial intelligence models can create everything from images to computer applications, but the quality of their output depends largely on the prompt a human user provides.

As e-commerce platforms grow ever more reliant on cloud computing, efficiency and sustainability have come to the fore as urgent pressures on development. A study published in the International Journal of Reasoning-based Intelligent Systems has introduced an innovative approach to the problem based on a slime mold algorithm (SMA). The work could improve both performance and energy efficiency for e-commerce systems.

Over the past decades, computer scientists have introduced increasingly sophisticated machine learning-based models, which can perform remarkably well on various tasks. These include multimodal large language models (MLLMs), systems that can process and generate different types of data, predominantly texts, images and videos.

Large visual collections, such as paintings, photographs, drawings, and other forms of visual media, offer valuable insights into historical events, social life, and artistic expression. These collections are key to understanding how societies produce and use images to shape cultural meaning over time. Yet they remain difficult to study due to their sheer size, often consisting of hundreds of thousands of items, and their intrinsic complexity, including diverse visual features, contents, contexts, and metadata structures.

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a decision was made is just as important as the decision itself, like medical diagnostics.

New research from Rensselaer Polytechnic Institute (RPI) could help shape the future of artificial intelligence by making AI systems less resource-intensive, higher performing, and designed to emulate the human brain. The research was published in Patterns, titled "Dimensionality and dynamics for next-generation neural networks."

기계연, 기업 간 협력 생태계 구축 위해 앞장선다 ! - 기업 협력 플랫폼 K-Partners(케이파트너스) 창립 - - 6월 12일(목), ‘K-Partners 창립총회’ 기계연 대전 본원에서 개최 - □ 한국기계연구원(원장 류석현, 이하 기계연)이 기업 간 협력을 촉진하는 플랫폼 'K-Partners'의 창립총회를 12일(목)

Products ranging from footwear to AI counterfeit detectors fill the halls of Paris's Vivatech trade fair, which runs until Saturday.

A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could impact fields from aircraft certification to climate modeling.

기계연, 친환경 디지털 농업 모빌리티 기반구축 산학연관 함께 첫 발 중대형 친환경 농기계 디지털·전동화 실증 기반 구축사업 착수… 예산서 사업설명회 개최 2025년 6월 5일(목), 예산군청에서 『충남 친환경 디지털 농업 모빌리티 산업생태계 조성』을 위한 사업설명회 및 업무협약식이 개최됐다. 한국기계연구원(원장 류석현, 이하

Animators could create more realistic bouncy, stretchy, and squishy characters for movies and video games thanks to a new simulation method developed by researchers at MIT.

Ready for that long-awaited summer vacation? First, you'll need to pack all items required for your trip into a suitcase, making sure everything fits securely without crushing anything fragile.

A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the generation of extreme super-resolution imagery using existing super-resolution models without the need for retraining.

In our hyper-connected world, we rely on encrypted communications every day—to shop online, digitally sign documents, make bank transactions, check our steps on fitness trackers.