Technology & Health

Why machine learning struggles with causality

Technology and Health

Why machine learning struggles with causality

Machine learning algorithms, especially deep neural networks, are especially good at ferreting out subtle patterns in huge sets of data. They can transcribe audio in real-time, label thousands of images and video frames per second, and examine x-ray and MRI scans for cancerous patterns. But they struggle to make simple causal inferences like the ones we just saw in the baseball video above.

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