machine learning

Forced to tighten their belts financially by the coronavirus pandemic, businesses are increasingly using software that automates back-office tasks. The idea, of course, is for companies to save money by reducing the number of workers they need to handle clerical work.

Recent advances in data technology and machine learning have disrupted many businesses and processes and can lead to a new paradigm in workplace safety as well. This case study demonstrates the application of data science and predictive analytics to aid the health, safety, and environment function.

This story reviews well-adopted ideas that have stood the test of time, presenting a small set of techniques that covers a lot of basic knowledge necessary to understand modern deep learning research.

With evolving targets and techniques, the digital landscape is quaking. Are you cyber-ready for the threats?

Research shows how to understand the role of individual neurons in a neural network.

Like biological brains, artificial neural networks may depend on slow-wave sleep for learning.

Machine learning enables fast, cost-effective, and accurate methane emissions detection in remote areas.

Despite streams of data being available on platforms about the condition of topside and drilling equipment, most experts agree that only a small fraction of such data is used. Whether for a fleet or single platform, AI can transform an offshore enterprise.

An AI-based application enabled operators to preempt ESP failures while optimizing production.

Artificial intelligence systems can be trained to recognize visual content in drawings and provide a simplified context. The complete paper highlights the use of AI to process a scanned drawing and redrawing it on a digital platform.