Artificial intelligence (AI) is a powerful tool that chemical engineers are widely embracing, both in research and in practice, for a variety of applications. AI can solve complex problems, accelerate time-consuming research steps, and make possible computations that may have been previously impossible.
In any field where computations are commonplace, such as in chemical engineering, AI has tremendous potential to make an impact. We are seeing some of this potential come to fruition as AI is being adopted in many studies, especially where large quantities of data must be analyzed and in applications that require heavy, iterative computing.
In particular, scientists are harnessing machine learning — a subset of artificial intelligence — in complex applications. Machine learning uses data and algorithms to imitate the way humans learn, often to make discoveries, decisions, or predictions. It can rapidly analyze vast datasets at computational speed in a capacity that is far beyond that of humans.
AI and machine learning are uniquely equipped to address questions that have puzzled experts and occupied their time for decades. Today, these technologies are accelerating discoveries in various chemical engineering applications, including protein structure prediction, materials simulation, and disease characterization.
Would you like to access the complete CEP News Update?
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.
