10TH Thermal and Fluids Engineering Conference (Hybrid) Partially online virtual and in person at George Washington University, Washington, DC, USA
Many would agree that AI and machine learning may facilitate quantum-step advances in widely diverse areas of technology. It seems clear that we are at a watershed moment: AI and machine learning development is on a path to drive a burst of technical innovation. However, this talk will argue that making breakthroughs happen requires strategies that blend machine learning capabilities with other key ingredients. This talk will discuss other essential elements of development strategies that can help create ground-breaking machine-learning-enhanced technologies. It will specifically argue that we need to transform how we train engineers and scientists and rethink how we approach technology development to maximize the benefits of AI and machine learning tools. And it will discuss how this is particularly relevant to development of innovative energy conversion and thermal management technologies.
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