ABB Robotics and NVIDIA have jointly published a white paper, highlighting the transformative impact of industrial-grade physical AI on precision manufacturing, proposing a methodology for its rapid deployment, to revolutionize speed and versatility.
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Meshy, a company building foundation models for AI-powered 3D generation, has announced it has raised nearly $400 million in a Series B round at a $1.5 billion valuation. It is the largest funding round to date for a company built specifically for AI 3D.
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A leading electronics manufacturer was facing a significant quality control bottleneck in their Integrated Circuit (IC) packaging line. The client relies on ultrasonic equipment to inspect ICs for internal defects.
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A new generation of AI systems is helping manufacturers move beyond defect detection to root-cause understanding, accelerating quality investigations and preserving critical operational knowledge.
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BMW Group has intensified the usage of digitalization and artificial intelligence (AI) in production. With so-called Physical AI, which connects digital AI with real machines and robots, intelligent systems such as humanoid robots can be integrated into real production processes.
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The BMW Group and Mistral AI are partnering to advance the use of AI in crash simulation. The aim is to improve quality, accuracy and speed in complex engineering tasks. The collaboration marks a first step towards scaling domain-specific AI across further areas of vehicle development and the BMW Group value chain.
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Industrial robotics software company Intrinsic has unveiled an early look at its new Intrinsic Intelligence Cell, a modular robot workcell designed to demonstrate how artificial intelligence can transform manufacturing flexibility, productivity, and accessibility.
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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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