Inductive logic programming (ILP) and machine learning together represent a powerful synthesis of symbolic reasoning and statistical inference. ILP focuses on deriving interpretable logic rules from ...
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AI learns to follow predefined norms through a combination of logic and machine learning
Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...
The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
Advances in machine learning, including deep learning, have propelled artificial intelligence (AI) into the public conscience and forced executives to create new business plans based on data. However, ...
The intersection of machine learning and mathematical logic — spanning computer science, pure mathematics, and statistics — has catalyzed recent advances in artificial intelligence and deep learning ...
Waymo is running 10,000 virtual vehicles through scenarios 24 hours a day and has logged more than 10 billion computer simulated miles. Now its learning environments will have a new tool to simulate ...
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