A guide to some of the most provocative and groundbreaking talks at the world’s largest gathering of earth and space scientists.

Apartment-level electricity use has increased under New York’s stay-at-home order. It could make matters worse for households already struggling economically.

A new study finds that diversifying India’s crops could provide better nutrition for 200 million undernourished people.

The two-and-a-half day symposium will explore data-driven discovery and innovation in science and industry.

A Columbia team is pioneering a machine learning-based imaging and sorting solution that would help to drastically reduce Africa’s tsetse population.

The students are using deep learning and neural networks to create an automated system that classifies plankton for large-scale oceanographic studies.

The Carbon Catalogue makes it easy to explore consumer products’ carbon emissions and the various strategies companies are employing to reduce emissions.

A new algorithm quickly sifts through hours of field recordings to learn how climate change influences bird migration. The A.I. could help track other wildlife as well.

Artificial intelligence is helping us manage the impacts of climate change and protect the environment in many ways.

In a new study, researchers show that machine learning algorithms can pick out different types of earthquakes from three years of data at Geysers in California. The repeating patterns of earthquakes appear to match the seasonal rise and fall of water-injection flows into the hot rocks below.