AI & Machine Learning

Doing machine learning the right way

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

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.

The most infamous cyber-attacks on industrial systems

Cybersecurity attacks are designed to undermine the integrity of critical processes

Five best practices for predictive operations at scale

Case study example illustrates challenges and opportunities

Intelligent use of cloud sharpens operational insight

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

Award winners recognized

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

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).

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.

The orchestration that precedes analysis

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

The network the oil & gas industry needs

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