ARTIFICIAL INTELLIGENCE

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Across
  1. 1. refers to the simulation of human intelligence in
  2. 2. Possible cybersecurity concerns.
  3. 3. Greater accuracy for certain repeatable tasks, such as assembling vehicles or computers.
  4. 4. learning A subset of AI that enables machines to improve at tasks with experience.
Down
  1. 1. machine learning uses ----------trained on data sets to create machine learning models that allow computer systems to perform tasks like making song recommendations.
  2. 2. Learning: A type of ML that uses neural networks with many layers.
  3. 5. Allows machines to understand and interpret human language.