MIT researchers have developed a new machine-learning-based adaptive control algorithm for autonomous drones. The ...

In 1847, the French mathematician Augustin-Louis Cauchy was working on a suitably complicated example — astronomical calculations — when he pioneered a common method of optimization now known as ...

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana ...

Gradient descent algorithms take the loss function and use partial derivatives to determine what each variable (weights and biases) in the network contributed to the loss value. It then moves ...

An evolutionary algorithm is any algorithm that loosely mimics ... DEO typically takes much longer to train a deep neural network than standard stochastic gradient descent (SGD) optimization ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.