{"componentChunkName":"component---src-templates-blog-post-js","path":"/blog/artificial-intelligence-advancing-applications-in-the-cpi/","result":{"data":{"site":{"siteMetadata":{"title":"No Frills News"}},"contentfulNfnPost":{"postTitle":"Artificial Intelligence: Advancing Applications in the CPI","slug":"artificial-intelligence-advancing-applications-in-the-cpi","createdLocal":"2021-06-01 14:30:59.722592","publishDate":"2021-06-01 00:00:00+00:00","feedName":"Image Recognition","sourceUrl":{"sourceUrl":"https://www.chemengonline.com/artificial-intelligence-advancing-applications-in-the-cpi/?printmode=1"},"postSummary":{"childMarkdownRemark":{"html":"<p>Understanding reinforcement-learning schemes, which build upon modern predictive control, is crucial for autonomous process control.\nIn a particular example involving Chevron Phillips, an AI-driven advanced control model was applied to cut transition times between polymer grades by four hours.\nThen, using AI, users can categorize and rank these anomalies and their impact on business goals.\nDow Polyurethanes (Midland, Mich.; www.dow.com/polyurethanes) and Microsoft collaborated to create the Predictive Intelligence platform product formulation and development.\nStevanato Group (Padua, Italy; www.stevanatogroup.com) recently launched an AI platform focused on visual inspection of biopharmaceutical products, looking at both particle and cosmetic defects (Figure 6).</p>"}}}},"pageContext":{"slug":"artificial-intelligence-advancing-applications-in-the-cpi"}}}