The goal of a machine learning regression problem is to predict a single numeric value. Quantile regression is a variation where you are concerned with under-prediction or over-prediction. I'll phrase ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...
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AI combines physics and lab data to predict paper packaging's permeability to volatile compounds
Paper packaging is a sustainable alternative to plastic. However, as it is permeable to air, food packaged in paper loses its ...
In disaster mitigation planning for future large earthquakes, seismic ground motion predictions are a crucial part of early warning systems. The way the ground moves depends on how the soil layers ...
Two new studies published in the journals Neuron00792-5) and Naturereveal how the human brain transforms a continuous stream ...
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