Mechanical Engineering : Research Guide

재생에너지 고속도로를 완성하는 차세대 대용량·장주기 에너지저장 기술 국산화 도전 - 기계연, 액체공기 에너지저장시스템 핵심 기자재 독자 개발로 상용화 기반 마련 - - 친환경 에너지저장 위한 터보팽창기와 콜드박스 기술로 공기액화 실증 성공 - □ 태양광이나 풍력과 같은 재생에너지 도입 확대에 따라 전력망 안정화와 출력변동성 완화의 중요

New research has found similarities in how humans and artificial intelligence integrate two types of learning, offering new insights about how people learn as well as how to develop more intuitive AI tools.

Researchers at Skoltech have presented new generalized LDPC codes (Generalized Low-Density Parity-Check Codes, GLDPC)—a practical solution that operates faster than modern solutions from the 5G standard while maintaining the original reliability of data transmission. Such codes are particularly important for designing next-generation wireless systems, where minimizing latency and ensuring reliable communication are among the key technological challenges.

Professional sports teams pour millions of dollars into data analytics, using advanced tracking systems to study every sprint, pass, and decision on the field. The results of that analysis, however, are industry secrets, making many sports difficult for researchers to study.

까다로운 플라스틱 분리수거 없는 시대, 현실이 된다! – 한국기계연구원 주관 ‘플라즈마 활용 폐유기물 고부가가치 기초원료화 사업단’, 세계 최초 혼합 폐플라스틱을 한 번에 재원료화하는 기술 개발 – □ 플라스틱 분리배출의 불편함이 사라질 날이 가까워지고 있다. 플라스틱을 엄격하게 재질별로 나누고 라벨을

Embedded systems such as Internet of Things (IoT) devices and single-board computers possess limited memory and processing power, necessitating the effective management of these constraints. This makes Linux—a flexible and cost-effective platform—promising for embedded systems. Indeed, Linux-based operating systems, including Ubuntu Core, Raspberry Pi OS, BalenaOS, and OpenWrt, are commonly used for a wide variety of embedded devices. However, ptmalloc—its default memory allocator—is often unable to satisfy the needs of all applications.

Quantum computers are a key emerging technology, particularly for specific kinds of problems that require enormous computing power. However, integrating quantum systems into existing supercomputers poses a challenge.

A new study by an SUTD researcher and his collaborators introduces a pooled mining attack that overturns a long-standing assumption about Bitcoin's security economics.

구혁채 과기정통부 제1차관, 한국기계연구원 방문 - 임무 중심 국가 대표연구기관 도약을 위한 현장 소통 - 과학기술정보통신부 구혁채 제1차관이 9월 1일(월) 대전 한국기계연구원(원장 류석현, 이하 기계연)을 방문해 연구자들과 간담회를 갖고 주요 연구현장을 살펴보았다. 이번 방문은 차관이 추진 중인 「Project 공감118」의 다섯 번째

A team of computer scientists led by the University of Colorado Boulder has developed a new artificial intelligence platform that automatically seeks out "questionable" scientific journals.

When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU's Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.

In the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately predict where our solar system's planets would appear in the sky as they orbit the sun. But it wasn't until decades later, when Isaac Newton formulated the universal laws of gravitation, that the underlying principles were understood.

A new system developed by Cornell Tech researchers helps users detect when their online accounts have been compromised—without exposing their personal devices to invasive tracking by web services.

A novel algorithmic system that works subtly in the background to mutual benefit, and adapts quickly to local conditions, could be useful in data processing where noise terms can be replaced with useful estimates of their values.

미래 재편할 휴머노이드 AI·로봇, 글로벌 전략 모색 - 한국기계연구원 ‘2025 글로벌 기계기술 포럼’ 9월 26일(금) 국회도서관 대강당에서 개최 - - 휴머노이드 AI·로봇의 미래 조명…데니스 홍 UCLA 교수 등 세계 석학·산업계 리더 한자리 - □ 인공지능(AI)과 로봇공학의

Blockchain technologies are digital systems that work by distributing copies of information across several computers, also referred to as nodes, all of which are connected to a common network. These technologies underpin the trading of cryptocurrencies, as well as the functioning of other emerging digital services.

Over the past decades, computer scientists have developed many computational tools that can analyze and interpret images. These tools have proved useful for a broad range of applications, including robotics, autonomous driving, health care, manufacturing and even entertainment.

Altruism, the tendency to behave in ways that benefit others even if it comes at a cost to oneself, is a valuable human quality that can facilitate cooperation with others and promote meaningful social relationships. Behavioral scientists have been studying human altruism for decades, typically using tasks or games rooted in economics.

With the particular needs of scientists and engineers in mind, researchers at the Department of Energy's Pacific Northwest National Laboratory have co-designed with Micron a new hardware-software architecture purpose-built for science.

기계연, K-Machine 사업화 유망기술 설명회 개최 - 기계연 유망기술 설명과 더불어 참여기업 대상 직접 상담 진행 - - 특구재단, 기술보증기금, 한국과학기술지주 등 유관기관과 함께 기업상담테이블도 운영 - □ 한국기계연구원(원장 류석현, 이하 기계연)은 21일(목) 서울 엘타워 1층 토파즈홀에서 ‘2025 한국기계연구원 K-Machine

In computer security, random numbers are crucial values that must be unpredictable—such as secret keys or initialization vectors (IVs)—forming the foundation of security systems. To achieve this, deterministic random bit generators (DRBGs) are used, which produce numbers that appear random. However, existing DRBGs had limitations in both security (unpredictability against hacking) and output speed.

Yiming Zhang didn't grow up playing chess. Like many other people, the Carnegie Mellon University Ph.D. student discovered the Netflix series "The Queen's Gambit" during the pandemic and began playing online. However, he quickly realized how unnatural it felt playing against chess bots.

Storm surges or collapsing dams—authentic simulations of water flows are not only important for special effects in disaster movies, but could also help to protect coastal regions. For more realistic simulations of fluid motions, researchers at the Technical University of Munich (TUM) have developed a new method that also takes into account the interaction with air. The approach is so efficient that calculations of complex wave motions can even be carried out with standard computers.

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk.