•1 min read•from Machine Learning
Real World Physics-Informed AI Applications [D]
Our take
Physics-informed AI is emerging as a transformative force across various industries, bridging the gap between advanced computational techniques and real-world applications. Unlike conventional AI that mainly relies on neural networks, physics-informed approaches integrate domain knowledge to enhance predictions and decision-making processes. This innovative technology is already making strides in fields such as healthcare, energy, and manufacturing, where accurate modeling and simulations are crucial. Exploring these applications reveals how physics-informed AI can solve complex problems and optimize outcomes, paving the way for a data-driven future.
I'm curios to find any real-world applications of physics-informed AI.
Conventional AI, talking only about Neural Networks, have already become something casual, they are in hundreds of tools/services we use daily. But I'm curios, apart from academia, are there industries/fields where physics-informed AI is already a thing?
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