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 ...

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 ...

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 ...

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a standard tool. But it is not enough for AI to simply deliver useful results: it ...

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, ...

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 ...

SAN JOSE, Calif. -- August 12, 2020-- Cadence Design Systems, Inc. (Nasdaq: CDNS) today announced the Cadence ® Xcelium TM Logic Simulator has been enhanced with machine learning technology (ML), ...

The logic of confidence construct argues that educators can be trusted to perform their defined work activities without a need for close supervision. This article describes an effort to operationalize ...