How Machine Learning in Robotics Can Transform Tomorrow’s Factories
Manufacturing is taking a leap forward, using machine learning in robotics for predictive maintenance, and for making factories leaner and more agile.
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Manufacturing is taking a leap forward, using machine learning in robotics for predictive maintenance, and for making factories leaner and more agile.
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Smart Manufacturing includes Industry 4.0 digital technologies, but it also digitizes the business outside of the factory floor.
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These presenters at this year's Autodesk University conference have created immersive digital realities for designing, mobilized volunteers for ventilators, and made race-car parts with AI.
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COVID-19 drove home the need for every manufacturer to build a resilient supply chain. This collection of advice touches on big data, AI, process improvement, and other resiliency tips.
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As demand for infrastructure development coincides with COVID-19's economic fallout, five articles and podcasts argue public-private partnership could help fund needed projects.
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Design for manufacture and assembly (DfMA) allows parts of construction projects to take place off-site, which can reduce project length, cost, material use, pollution, and worker injuries.
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As manufacturing's Industry 4.0 progresses from automation and smart factories, crucial trends to watch in 2020 are the connecting of data with edge computing, cybersecurity, and education.
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German musician and engineer Moritz Simon Geist is pioneering a new era of robots playing music with his orchestra of Sonic Robots that play techno music using completely acoustic sounds.
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Learn how Splash leverages local resources and thoughtful design to make water, sanitation, and hygiene affordable and sustainable in developing nations.
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Meet Ken Goldberg, the UC Berkeley engineering professor whose machine-learning research is laying the groundwork for a new era of intelligent robots.
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