This is the fourth 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 more about computing environments options for energy exploration and monitoring.
Energy Companies Embrace Deep Learning for Inspections, Exploration & More
June 12, 2018 by
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
June 5, 2018 by
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
September 19, 2016 by
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.”
