Researchers Use Machine Learning to Detect Flaws in Laser Po

A new machine learning technique allows the real-time detection of additive manufacturing defects with a 100% prediction rate.

Related Keywords

Anthony Rollett , John Lopez , Tao Sun , University Of Wisconsin , Carnegie Mellon University , Nature Communications , University Of Virginia , Tech Times , Science Magazine , Carnegie Mellon , Researchers , Tse , Machine , Learning , O , Etect , Laws , N , Laser , Powder , Bed , Fusion , Dditive , Manufacturing , Process ,