Mechanical Engineering: Research Guide

한국기계연구원, 이차전지 조립공정 AI 자율제조 기술 선도···2년 연속 대형 과제 수주 쾌거 - 2025년 'AI 팩토리 선도사업' 선정…전극 공정 이어 조립 공정까지 AI 전환(AX) 기술 리더십 확보 - □ 한국기계연구원(원장 류석현, 이하 기계연)은 11월 13일(목) 서울 양재동 엘

New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science. But the way to do it, according to Cameron Seth, a Ph.D. researcher working in the field of algorithmic approximation, is by breaking the problem down into smaller pieces.

In his research, Professor Marko Huhtanen from the University of Oulu, who specializes in applied and computational mathematics, introduces a new method for compressing images. This technique combines several well-known compression methods, leveraging their best features. The study has been published in IEEE Signal Processing Letters.

Large language models such as GPT-5 and Llama systematically rate speakers of German dialects less favorably than those using Standard German. This is shown by a recent collaborative study between Johannes Gutenberg University Mainz (JGU) and the universities of Hamburg and Washington, in which Professor Katharina von der Wense and Minh Duc Bui of JGU played a leading role.

In an MIT classroom, a professor lectures while students diligently write down notes they will reread later to study and internalize key information ahead of an exam.

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer. You, as an observer, know that the treat is now in the drawer, and you also know that when the first person returns, they will look for the treat in the box because they don't know it has been moved.

Researchers studying how large AI models such as ChatGPT learn and remember information have discovered that their memory and reasoning skills occupy distinct parts of their internal architecture. Their insights could help make AI safer and more trustworthy.

Researchers from Australia's national science agency CSIRO, Federation University Australia and RMIT University have developed a method to improve the detection of audio deepfakes.

A computational study published in the Journal of Molecular Liquids makes important contributions to the development of new, safe, high-performance batteries by investigating compounds that can be used as electrolytes in sodium-ion batteries.

Large language models (LLMs) are increasingly used not only to generate content but also to evaluate it. They are asked to grade essays, moderate social media content, summarize reports, screen job applications and much more.

Existing 3D scene reconstructions require a cumbersome process of precisely measuring physical spaces with LiDAR or 3D scanners, or correcting thousands of photos along with camera pose information. A research team at KAIST has overcome these limitations and introduced a technology enabling the reconstruction of 3D—from tabletop objects to outdoor scenes—with just two to three ordinary photographs.

Seoul National University College of Engineering announced that a research team led by Professor Hyun Oh Song from the Department of Computer Science and Engineering has developed a new AI technology called KVzip that intelligently compresses the conversation memory of large language model (LLM)-based chatbots used in long-context tasks such as extended dialog and document summarization. The study is published on the arXiv preprint server.

함정 유류화재, 이젠 자율형 소화체계로 잡는다! - 기계연, AI 기반 자율형 소화체계 개발… 유류화재 진압 및 해상 실선 시험 성공 - - 파도와 선체 움직임 속에서도 정확한 조준, 함정 생존성 및 전투력 향상 기대 - □ 함정 내 유류화재를 자율적으로 탐지하고 해상 환경에서도 정밀 조준하여 진압할 수 있는 차세대 소화체계가 국내 최초로 개

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.

When users ask ChatGPT to generate an image in a Ghibli style, the actual image is created by DALL-E, a tool powered by diffusion models. Although these models produce stunning images—such as transforming photos into artistic styles, creating personalized characters, or rendering realistic landscapes—they also face certain limitations. These include occasional errors, like three-fingered hands or distorted faces, and challenges in running on devices with limited computational resources, like smartphones, due to their massive number of parameters.

한국기계연구원, 이차전지 조립공정 AI 자율제조 기술 선도···2년 연속 대형 과제 수주 쾌거 - 2025년 'AI 팩토리 선도사업' 선정…전극 공정 이어 조립 공정까지 AI 전환(AX) 기술 리더십 확보 - □ 한국기계연구원(원장 류석현, 이하 기계연)이 산업통상자원부의 '2025년 AI 팩토리 선도사업

Imagine snapping a photo where every detail, near and far, is perfectly sharp—from the flower petal right in front of you to the distant trees on the horizon. For over a century, camera designers have dreamed of achieving that level of clarity.

A database of more than 10,000 human images to evaluate biases in artificial intelligence (AI) models for human-centric computer vision is presented in Nature this week. The Fair Human-Centric Image Benchmark (FHIBE), developed by Sony AI, is an ethically sourced, consent-based dataset that can be used to evaluate human-centric computer vision tasks to identify and correct biases and stereotypes.

At 15, when a neurological condition took Tobias Weinberg's ability to speak, aspects of his personality became more difficult to express.

Extreme weather events such as heavy rain and flooding pose growing challenges for early warning systems worldwide. Researchers at the University Bonn, the Forschungszentrum Jülich (FZJ), and the Lamarr Institute for Machine Learning and Artificial Intelligence have developed RiverMamba, a new AI model that can predict river discharges and flood risks more accurately than previous methods.

A new computer model developed at the University of Liverpool can combine sight and sound in a way that closely resembles how humans do it. This model is inspired by biology and could be useful for artificial intelligence and machine perception.

Large language models (LLMs) may not reliably acknowledge a user's incorrect beliefs, according to a new paper published in Nature Machine Intelligence. The findings highlight the need for careful use of LLM outputs in high-stakes decisions in areas such as medicine, law, and science, particularly when belief or opinions are contrasted with facts.

When writing program code, software developers often work in pairs—a practice that reduces errors and encourages knowledge sharing. Increasingly, AI assistants are now being used for this role.

New research from Carnegie Mellon University's School of Computer Science shows that the smarter the artificial intelligence system, the more selfish it will act.

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction with discrete binary values (i.e., 0 or 1), like digital computers.

옷처럼 입는 로봇, 근육옷감 자동직조로 대중화 앞당긴다 - 기계연, 형상기억합금 코일실 기반 근육옷감 연속생산 자동직조장비 개발 - - 옷감처럼 가벼운 근육옷감으로 팔꿈치·어깨·허리 3관절 동시 보조 웨어러블 로봇 최초 구현 - - 근육 약화 환자용 초경량 어깨 보조 로봇, 임상시험에서 어깨 움직임 57% 이상 개선 - □ 머리