Machine Learning and Climate Issues

April 27, 2022 / Melody Smith / Comments Off on Machine Learning and Climate Issues

Emerging technologies like artificial intelligence (AI) and machine learning are making changes in all parts of our lives and world. One of the more impactful applications involves climate and environmental issues. This interesting news came to us from Columbia Climate School in their article, “Machine Learning Techniques Can Speed Up Glacier Modeling By A Thousand Times.”

Using a machine learning approach, a novel glacier model has been developed which can simulate ice dynamics and ice interaction with the climate up to a thousand times faster than previous models. This model can be used to predict the evolution of glaciers and ice sheets under different scenarios.

Physical modeling of ice sheets and glaciers at high spatial resolutions is an enormous challenge so this new application of technology is reaping benefits already.

Explainable AI allows users to understand and trust the results and output created by machine learning algorithms. “Explainable AI” is used to describe an AI model, its expected impact and potential biases.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.