Quick Summary
Additional Context
Garbage in, garbage out: that cliche is currently associated most often with AI, but it really refers to the universal principle whereby a final outcome is only as useful as the quality of the data that led to it. The principle is highly relevant to any emerging technological field, with the potential for future progress being disproportionately dependent on the validity of the relatively scant existing information that’s available.
The ‘new space’ industry is a perfect example of a context in which stakeholders have to remain particularly cognizant of the rule of ‘garbage in, garbage out,’ and so is metal additive manufacturing (AM). Phase3D, the Chicago-based provider of both hardware and software solutions for metal AM in-situ monitoring (ISM), will be addressing the need for quality d