GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...

Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

GOES-East satellite observations and machine learning have, for the first time, connected this observed structure to the much ...

Another year, another major Adobe Illustrator update. Have they finally fixed some long-standing glitches? Do I think the new ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...

Abstract: This study developed a gradient-based algorithm to synthesize arbitrary power patterns with only element phases. This algorithm does not rely on any general-purpose nonlinear solver and ...

Your browser does not support the audio element. The backpropagation algorithm is the cornerstone of modern artificial intelligence. Its significance goes far beyond ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...