The two-and-a-half day symposium will explore data-driven discovery and innovation in science and industry.
Data Science Institute Archives - State of the Planet
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.
Adding protective barriers around street trees could reduce load on city sewers, study finds.
In a paper published in the journal Science, researchers looked at increasing trends in the severity of tornado outbreaks, measured by the number of tornadoes per outbreak. They found that these trends are increasing fastest for the most extreme outbreaks.
The sheer number of observations now streaming from land, sea, air and space has outpaced the ability of most computers to process it. The Data Science Institute’s newest working group —Frontiers in Computing Systems—will try to address some of the bottlenecks facing scientists working with these and other massive data sets.