IEEE

Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling

Abstract: The problem of data imbalance is defined as the uneven distribution of the training examples to the existing classes of a dataset. Among a wide variety of solutions, the oversampling ...
IEEE

Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection

Abstract: Solving constrained multi-objective optimization problems with evolutionary algorithms has attracted considerable attention. Various constrained multi-objective optimization evolutionary ...
Wall Street Journal

America’s Biggest Power Grid Operator Has an AI Problem—Too Many Data Centers

America’s AI boom is pushing the nation’s largest power-grid operator to the brink of a supply crisis. Sixty-seven million people in a 13-state region stretching from New Jersey to Kentucky get their ...