Deep Learning

A new deep learning system can detect natural disasters using images posted on social media. The international group of researchers applied computer vision tools that, once trained using 1.7 million photographs, proved capable of analyzing, filtering, and detecting real disasters, writes the Universitat Oberta de Catalunya (UOC) in a press release. Previous research focused on ...

The ability of AI tools to manipulate images continues to grow. The latest example is shown in a research paper from the Max Planck Institute. For now, it’s “only” a research paper, but a very impressive one, letting users drag elements of a picture to change their appearance. Not only can you change the dimensions ...

Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique ...

Chesapeake Conservancy’s data science team developed an artificial intelligence deep learning model for mapping wetlands, which resulted in 94% accuracy. Supported by EPRI, an independent, non-profit energy research and development institute; Lincoln Electric System; and the Grayce B. Kerr Fund, Inc., this method for wetland mapping could deliver important outcomes for protecting and conserving wetlands. ...

Testing the potential of deep learning presents unique challenges because any single application brings together various disciplines. Applying deep learning requires simultaneously understanding (i) the motivations for casting a problem in a particular way; (ii) the mathematical form of a given model; (iii) the optimization algorithms for fitting the models to data; (iv) the statistical ...