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.