In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...