Artificial intelligence (AI) and machine learning (ML) have become hot topics for chemical engineering and every other discipline. AI and ML will impact the practice, business, and science of chemical engineering because they provide new, powerful ways to view and analyze data more efficiently. This article clarifies what AI/ML encompasses and speculates on how its impacts will be felt.
AIChE’s Public Affairs & Information Committee (PAIC) assembled an ad-hoc working group on AI/ML. The working group considered the context and use of AI/ML within present and future chemical engineering application domains.
AI concepts began in the 1950s — notably during a 1956 Dartmouth conference — and were influenced by a 1950 paper by Alan Turing. ML is the most public-facing subdivision of AI because ML deals with the extraction of patterns, models, and knowledge from data. It arose with neural networks in the early 1980s and has evolved to take advantage of sophisticated learning algorithms, more powerful and easily accessible computers, and the generation of data with the characteristics of “big data.”
In fall of 2022...
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