{"product_id":"semi102-artificial-intelligence-for-thin-film-manufacturing","title":"SEMI102 Artificial Intelligence for Thin Film Manufacturing","description":"\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e\u003cstrong style=\"box-sizing: border-box;\"\u003eCourse Description \u003c\/strong\u003e\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003eThis course describes how machine learning and AI-based approaches to research, development, and production bring advantages to cleanroom processes.  AI-based identification of time-varying equipment performance and the effects of the previous recipe used on the outcome of the current desired methods are just some ways AI can reduce process variability.  \u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003eThe team from Cornell has applied AI approaches to optimize lithography and etching processes involved in the development of an RF wake-up Nano Electromechanical system switch that needs a well-controlled gap between a moving shuttle and a contact. We report on a decision-tree-based AI model for predicting lithography outcomes. This work is being applied to plasma etching and the combined prediction of lithography and thin-film etching using CD-SEM imagery for feature extraction and modeling process variables.  Additional approaches to train process-modeling CAD tools to result in a better process development experience are developed.\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e\u003cstrong style=\"box-sizing: border-box;\"\u003eCourse Objectives \u003c\/strong\u003e \u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003eDescribes how machine learning and AI-based approaches to research, development, and production bring advantages to cleanroom processes.\u003c\/i\u003e\u003c\/em\u003e\u003c\/li\u003e\n\u003cli style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003eAI-based identification of time-varying equipment performance. \u003c\/i\u003e\u003c\/em\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e\u003cstrong style=\"box-sizing: border-box;\"\u003eCourse Duration\u003c\/strong\u003e\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e30 minutes\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e\u003cstrong style=\"box-sizing: border-box;\"\u003eTarget Audience \u003c\/strong\u003e\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003eManagers, supervisors, engineers, technicians, or any individual working directly with this equipment or product  \u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e \u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-bottom: 0in; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003e\u003cstrong style=\"box-sizing: border-box;\"\u003eRequisite Knowledge \u003c\/strong\u003e\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: border-box; color: rgb(65, 65, 65); font-family: sans-serif; font-size: 14px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: normal; margin-top: 0px; orphans: 2; text-align: left; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;\"\u003e\u003cem style=\"box-sizing: border-box;\"\u003e\u003ci\u003eNone\u003c\/i\u003e\u003c\/em\u003e\u003c\/p\u003e","brand":"semi.org","offers":[{"title":"Default Title","offer_id":40234399072323,"sku":"15932","price":7500.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0567\/3402\/3747\/files\/SEMI102a_9e6b34c3-6cc0-45cd-9d49-9d9824fbef47.jpg?v=1776701328","url":"https:\/\/store-dev2.semi.org\/en-jp\/products\/semi102-artificial-intelligence-for-thin-film-manufacturing","provider":"SEMI Dev 2","version":"1.0","type":"link"}