Artificial intelligence (AI) has seen a rapid expansion in its capabilities, especially in recent years. As defined by Amit Gupta in “Introduction to Deep Learning: Part 1” (CEP, June 2018, pp. 22–29), artificial intelligence is the “capability of a machine to imitate intelligent human behavior.” Likewise, machine learning (ML) describes a computer’s ability to learn without explicit instructions. AI has the potential to completely reshape the way we live, work, and engage with technology. We are constantly interacting with AI/ML, from voice assistants such as Siri or Alexa, to image and music curation based on our personal preferences through services such as Pinterest or Spotify. Unsurprisingly, AI and ML have found their way into many technical industries, including chemical engineering.
From problem-solving to real-time monitoring and predictive diagnostics, AI has a wide range of applications and uses in the chemical process industries (CPI). However, before rushing to employ AI wherever possible, it is crucial to fully understand the technology and its limitations in order to...
Would you like to access the complete CEP Article?
No problem. You just have to complete the following steps.
You have completed 0 of 2 steps.
-
Log in
You must be logged in to view this content. Log in now.
-
AIChE Membership
You must be an AIChE member to view this article. Join now.
Copyright Permissions
Would you like to reuse content from CEP Magazine? It’s easy to request permission to reuse content. Simply click here to connect instantly to licensing services, where you can choose from a list of options regarding how you would like to reuse the desired content and complete the transaction.