Artificial intelligence (AI) has become indispensable in many companies. Examples such as AI agents, early defect detection in manufacturing, or logistics process optimization show that AI is already being used across a wide range of business functions. Although AI is increasingly recognized as a key technology, sustainable value creation remains elusive in many organizations.
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ABB Robotics has announced it is integrating NVIDIA Omniverse libraries into ABB Robotics’ RobotStudio to help manufacturers deploy physical AI in real world robotics applications. “Today, using NVIDIA accelerated computing and simulation technologies, we have removed the
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A new generation of ultra-compact inspection robots developed jointly by the UK Atomic Energy Authority (UKAEA) and CERN could soon be ‘scurrying’ through the internal beamlines of the Large Hadron Collider (LHC), providing a powerful new tool for monitoring the world’s most complex particle accelerator.
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ABB has announced what it describes as a first for industrial automation: the seamless integration of AI-based machine vision directly into the machine control system. By embedding deep learning capabilities into its automation architecture, the company, through its machine and factory automation division B&R, has enabled vision data to feed advanced, real-time machine control loops.
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As electric vehicle (EV) production accelerates, leading provider of industrial tooling, assembly and data-driven solutions, Atlas Copco, has harnessed artificial intelligence to validate EV battery integrity and safety, throughout the manufacturing process.
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AI-powered quality control, enabled by edge computing and Arm-based platforms, is transforming modern manufacturing. By embedding intelligence directly into production environments, manufacturers can detect anomalies in real time, minimize waste, and drive continuous process optimization.
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In a move that signals a decisive shift in the evolution of industrial artificial intelligence, Autodesk has announced a $200 million strategic investment in World Labs, a frontier AI research company,
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Production companies are under enormous pressure today: Customers are demanding more and more variants, delivery times are shrinking, error rates must not increase, and traditional visual inspections quickly reach their limits. Visual quality control is becoming one of the biggest challenges for manufacturing industry. Every production error costs time, money, and reputation.
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As the industry shifts from Industry 4.0’s full automation to Industry 5.0’s human centric approach, which emphasises resilient, sustainable and flexible processes with safety and worker wellbeing at the core, AI is becoming a true collaborative partner.
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Human based quality inspection is essential at every stage of aircraft wing manufactureand and involves critical measurement and testing to ensure every single component is within specification and is assembled correctly.
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