Grace Lindsay explains machine learning and describes how artificial neural networks mimic the architecture of brain neurons to learn from and process data.
An artificial neural network (ANN) is a type of machine learning that identifies patterns from data to make predictions about its features.
Scientists like Grace Lindsay, computational neuroscientist at New York University, use ANNs to study how the brain works and to analyze image data. In an interview with The Scientist, Lindsay explains the basic structure and function of ANNs.
Read the Brush Up Summary to learn more about artificial neural networks.
The liquid world of fetal development provides a rich source of nutrition and protection tailored to meet the needs of the growing fetus.
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