Apr 06, 2022

The U.S. government punished an app vendor for building an algorithm based on ill-gotten data | Animal Animations From Video | Learning After Overfitting | Machine Learning boosts renewable fuels

The U.S. government punished an app vendor for building an algorithm based on ill-gotten data. The Federal Trade Commission (FTC), the U.S. agency in charge of consumer protection, ruled that an app developed by WW International (formerly Weight Watchers) violated data-collection laws.

A video game studio is looking to machine learning to cut the effort and expense of populating three-dimensional scenes with animated animals.

When a model trains too much, it can overfit, or memorize, the training data, which reduces its ability to analyze similar-but-different inputs. But what if training continues? New work found that overfitting isn’t the end of the line.

A new machine learning technique is boosting algae as a renewable, carbon-neural source of fuel for airplanes and other vehicles typically powered by fossil fuels.