From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Interior-point methods constitute a robust class of algorithms for solving constrained optimisation problems by exploring the interior of the feasible region instead of traversing its boundary. These ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...

Forget about the generic recommendations on your home screen because Netflix is hiding its best romantic content behind a digital lock. With Valentine's Day right around the corner, most people are ...