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How A.I. is Being Used to Develop Tougher Composite Materials
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Sisällön tarjoaa Jonathan Taylor. Jonathan Taylor tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
On this episode, Markus Buehler, McAfee Professor of Engineering at MIT joins me to discuss how they are using machine learning to create stronger materials.
For engineers developing new materials, there are billions of different possibilities to sort through. Lab tests & detailed computer simulations to determine their exact properties can take hours, and even days for each variation. Now, a new artificial intelligence-based approach developed at MIT could reduce that to a matter of milliseconds.
Markus discusses their new course on Predictive Multiscale Materials Design. In this course, you will enhance your ability to leverage materials design, machine learning, and additive manufacturing to create better materials.
You can register at: https://professional.mit.edu/course-catalog/predictive-multiscale-materials-design
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