ABB Robotics has enhanced its RobotStudio Suite with the new RobotStudio AI Assistant, harnessing the power of generative Al to make robot programming faster, easier, and more accessible.
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Fujitsu has announced an expanded strategic collaboration with NVIDIA to create full-stack AI infrastructure that integrates AI agents. The initiative aims to bolster enterprises’ competitive edge through AI, while preserving their autonomy in AI utilization.
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EZ Automation Systems, a supplier of advanced automation technologies, has announced the expansion of its PIQuE automated surface inspection platform with the introduction of a new inline configuration.
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Xometry, a global AI-powered marketplace connecting buyers with suppliers of manufacturing services, has unveiled its inaugural, Manufacturing Outlook report, a forward-looking analysis of the forces shaping the manufacturing industry for 2026.
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At the heart of this powerful surveillance system is a ‘field-level’ industrial network developed by researchers at Shanghai Jiao Tong University in collaboration with Comac (Commercial Aircraft Corporation of China).
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Ultralytics, the company behind the widely adopted YOLO (You Only Look Once) computer vision models, has raised $30 million in Series A funding, led by Elephant with participation from SquareOne.
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A research team affiliated with UNIST has unveiled an innovative, high-precision AI-powered quality inspection system that reduces inspection time from 12 minutes to just under 3 seconds. This cutting-edge technology facilitates real-time, micron-scale defect detection during continuous manufacturing processes, paving the way for fully automated, inline quality control in high-speed production environments.
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Apera AI, a leader in 4D Vision for industrial robotic automation, has been honored with the 2025 Frost & Sullivan Technology Innovation Leadership Award for the global robotic automation software industry.
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Recently, defect detection systems using artificial intelligence (AI) sensor data have been installed in smart factory manufacturing sites. However, when the manufacturing process changes due to machine replacement or variations in temperature, pressure, or speed, existing AI models fail to properly understand the new situation and their performance drops sharply.
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Industrial inspection is under more pressure than ever. Manufacturers across aerospace, automotive, medical, and energy sectors are expected to deliver flawless products while reducing cycle times and production costs. Traditional inspection methods, though precise, often struggle to keep pace with the speed of modern production lines.
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