The idea is to build a CNC (computer-numerical control) machining center that can be operated by junior workers and not just skilled experts, a dwindling breed in Japan.
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ABB Robotics is collaborating with California bionics company, PSYONIC, to advance robotic gripping and dexterity using a new approach that utilizes real-world manipulation data from human prosthetic use. By combining the PSYONIC Ability Hand with an ABB GoFa cobot, the collaboration will explore how touch and motion data generated by human prosthetic use can be used to train robots to perform delicate, variable tasks that have traditionally been difficult to automate.
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Schneider Electric set out to solve a pressing challenge: how to expand inspection coverage, increase throughput, and reduce manufacturing costs—without increasing complexity or reliance on individual technical expertise. The answer came with the integration of Cognex In-Sight cameras and the OneVision AI development environment.
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Cognex Corporation, the global leader in industrial machine vision, has announced the general availability of OneVision, its collaborative AI vision development environment designed to simplify and scale AI-powered inspection across manufacturing operations.
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China has taken another significant step in its artificial intelligence strategy with the release of a national roadmap aimed at strengthening AI metrology capabilities—an emerging field focused on the measurement, evaluation, verification, and standardization of AI systems.
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KITOV.ai, a leading provider of AI-Powered Quality Discovery solutions, has announced the integration of CMM-Manager metrology software as the GD&T (Geometric Dimensioning and Tolerancing) engine for its Core+ robotic inspection platform.
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L2L, a leader in Connected Manufacturing Operations, has announced the launch of L2L Execution AI, a comprehensive manufacturing intelligence layer designed to help manufacturers reduce downtime, increase productivity, and improve Overall Equipment Effectiveness.
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Audi is consistently rolling out artificial intelligence (AI) in production and logistics: the company is scaling up its own cloud platform for production and introducing new AI use cases and technologies for large-scale series production. In doing so, the premium manufacturer is relying on the expertise of strong partners. Decades of manufacturing expertise meet smart digital solutions.
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In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during the manufacturing process of products like steel, semiconductors, and solar cells to help improve strength, control electrical conductivity, optimize performance, and more.
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BMW i Ventures has launched its third fund, putting $300 million behind a clear premise: that AI will fundamentally reshape how the automotive industry operates and creates value across its entire ecosystem.
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