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Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity

This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more. 

Energy Companies Embrace Deep Learning for Inspections, Exploration & More

This is the second entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how energy companies are embracing deep learning for inspections, exploration and more. 

Opportunities Abound: HPC and Machine Learning for Energy Exploration

The is the first entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to find out how machine learning is driving energy exploration. “Any tool that reduces the time needed to understand where the deposits are located can save a company millions of dollars.”

Adept Releases Open-Source Energy Measurement Tools for Parallel Hardware

Today, the European Adept Project wrapped up by releasing a set of open-source energy measurement tools. “This is a significant step forward in understanding where exactly in a parallel computing system energy is consumed,” says Dr Michèle Weiland, Project Coordinator for Adept. “Giving both hardware and software developers access to this type of information allows them to make informed choices about new implementations, without guesswork.”