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AI & Machine Learning

MIT computer scientist Aleksander Madry. Courtesy: Ian MacLellan, MIT
AI and Machine Learning March 15, 2020

Doing machine learning the right way

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.

By Rob Matheson
UW-Madison researchers have found a way to speed up the process of finding suitable biofuel reaction conditions using machine learning. Courtesy: University of Wisconsin-Madison
AI and Machine Learning March 3, 2020

Machine learning speeds up biofuel production process development

Researchers at UW-Madison have found a way to speed up the process of finding suitable reaction conditions using machine learning, which may help the era of biofuels come a little bit sooner.

By Jason Daley
Cybersecurity February 8, 2020

The most infamous cyber-attacks on industrial systems

Cybersecurity attacks are designed to undermine the integrity of critical processes

By Kevin Parker
Best practices to guide digital transformation. Courtesy: Falkonry
Oil and Gas February 2, 2020

Five best practices for predictive operations at scale

Case study example illustrates challenges and opportunities

By Nikunj Mehta, Ph.D.
Figure 1: By integrating data into the cloud, an environment is created for cross-sectional analysis, with third-party consultants able to perform high-precision analysis and provide suggestions for optimizing production. Courtesy: Yokogawa Electric Corp.
Virtualization, Cloud Analytics January 31, 2020

Intelligent use of cloud sharpens operational insight

Cloud-based wireless sensing enables safety, reliability and profits through widespread asset monitoring

By Simon Rogers
Events and Awards December 9, 2019

Award winners recognized

Oil & Gas Engineering announces the winners of the 2019 Product of the Year awards

By Kevin Parker
Courtesy: Chris Vavra, CFE Media
Oil and Gas October 22, 2019

Unused oil and gas emissions could power computing programs

Crusoe Energy Systems is deploying customized supercomputers into oil fields and using the excess gas to power energy intensive computing programs, such as blockchain processing, training AI models or machine learning (ML).

By Saïd Business School
Automation September 7, 2019

Digital twins, engineering future of automation

Rapid growth of data collection make rapid expansion of digital twins more likely to add automation, supply chain efficiencies and optimization.

By Stone Shi
virtualization, Cloud, Analytics, Edge Computing July 30, 2019

The orchestration that precedes analysis

The DDDP Conference carried the tagline had an emphasis on cloud and edge technologies meeting the oil & gas industry.

By Kevin Parker
Courtesy: Ondas Networks
Wireless July 28, 2019

The network the oil & gas industry needs

The case for private wireless, mission-critical communications networks.

By Kathy Nelson, P.E.