Explainable AI to Increase Safe Use of AI - A Case of Manufacturing
Explore how explainable AI enhances safety and transparency in manufacturing processes, focusing on practical applications and implementation strategies.
Shining a Light Into the Security Blackhole of IoT and OT Networks
Explore effective strategies for securing and managing IoT and OT networks, addressing challenges in asset inventory, vulnerability assessment, and security control implementation.
Exposing Security Vulnerabilities in Large Off-Grid Solar Systems
Uncover critical security vulnerabilities in solar management systems and their potential impact on national infrastructure through real-world exploitation examples and risk analysis.
Exploiting Security Vulnerabilities in Microhard Radio Equipment
Uncover critical security vulnerabilities in Microhard's radio equipment, including command injections and buffer overflows, while exploring implications for SCADA and utility systems.
Simulating Attacks Against Hydroelectric Power Plants Using ICS Firing Range
Dive into a comprehensive simulation of cyberattacks on hydroelectric facilities, exploring both offensive tactics and defensive strategies through a custom-built ICS firing range environment.
The Risk and Reward of Distributed Industrial Control - Cybersecurity in Remote Infrastructure Management
Explore the cybersecurity challenges of remotely controlled industrial assets, examining real-world incidents and practical mitigation strategies for protecting critical infrastructure operations.
Manufacturing Cybersecurity: Lessons Learned and Taught from Ransomware Attacks
Delve into manufacturing cybersecurity challenges, focusing on ransomware threats, network vulnerabilities, and automation risks while exploring protective strategies for operational technology environments.
Red Team Attack Simulation for Operational Technology - Real-World Case Studies
Dive into real-world attack vectors and strategies for industrial networks through a decade of Red Team exercises, focusing on operational technology and control system vulnerabilities.
Eclipse Software Defined Vehicle - State of the Nation 2023
Discover the latest developments in software-defined vehicles through Eclipse Foundation's collaborative platform, exploring integration projects and automotive-grade DevOps innovations.
The Future of Automotive: Building Software-Defined Vehicles with Eclipse Velocitas
Discover how Eclipse Velocitas enables efficient development of containerized vehicle applications, revolutionizing automotive software development and deployment processes.
Asset Administration Shell and Digital Twin Interoperability - The Open Source Landscape
Discover how Asset Administration Shell enables interoperability in industrial digital twins through open-source implementations and cross-company collaboration standards.
ICS Security: Navigating Successfully in a Multi-Vendor and Multi-Site World
Discover essential strategies for securing industrial control systems in modern OT environments, addressing IoT connectivity challenges and implementing effective countermeasures for multi-vendor setups.
Enabling the Shop Floor to Pave the Way for Efficiency and Sustainability - A Manufacturing Innovation Story
Discover how LEGO Group revolutionizes manufacturing through IoT implementation, focusing on digitalization, worker safety, and sustainable production methods to boost efficiency and productivity.
AI를 활용한 열교환기 검사 Point 선정 모델 개발 및 현장 적용
Discover how AI and rule-based models automate heat exchanger inspection point selection, improving maintenance planning and efficiency in industrial plant operations through real-world implementation.
반도체산업에서 계측을 우아하게 하는 방법 - AI가 개척하는 업무 혁신
Discover how AI revolutionizes semiconductor measurement processes at SK Hynix, making complex image measurements accessible to all employees regardless of technical expertise or specialized knowledge.
Panoptes VM과 함께 알아보는 제조업에서의 Data와 AI를 활용한 혁신
Discover how Panoptes VM's AI-powered virtual metrology revolutionizes manufacturing quality control through innovative sensor data analysis and predictive modeling for efficient production monitoring.
머신러닝 기반 분산형 광센서 및 초분광 센서의 산업현장 적용 사례
Discover how machine learning-based distributed optical and hyperspectral sensors are revolutionizing industrial applications through real-world case studies and practical implementations at SK facilities.
생산 현장의 스마트 로봇: AI와 비전 기술을 활용한 자동화 솔루션
Discover how CMES implements Vision AI and robotics solutions in manufacturing, showcasing real cases of automating unstructured processes and providing insights into the future of human-robot collaboration.
Panoptes IM - AI-Powered Image Metrology for Manufacturing Process Control
Discover how Panoptes IM leverages AI and computer vision for nanometer-level image metrology in semiconductor manufacturing, enhancing process control and measurement accuracy.
Offline Reinforcement Learning for Process Control - CDU Air Fan Cooler Control Application
Discover how offline reinforcement learning can optimize crude distillation unit control through historical data analysis, avoiding costly trial-and-error approaches in industrial process control systems.
Business Value Through Explainable AI (XAI)
Discover how explainable AI frameworks enhance business value across supply chain, manufacturing, and finance through practical applications of transparent machine learning techniques.