Refuting a 70-year approach to predicting material microstructure Opens in new window
Researchers at Carnegie Mellon University have developed a new microscopy technique that maps material microstructure in three dimensions; results demonstrate that the conventional method for predicting materials’ properties under high temperature is ineffective.
Distributed artificial intelligence at the edge and beyond
Artificial intelligence (AI) continues evolving rapidly, accelerating innovation in machine learning, computational game theory, autonomy, and more. Carnegie Mellon University remains at the forefront of researching and enabling novel AI advances and discoveries in engineering and computer science, continually driving and redefining the art-of-the-possible.
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