{"title":"Building a Smart and Green AI","authors":"B. Rajendran","doi":"10.1149/2.f09231if","DOIUrl":null,"url":null,"abstract":"How do we design cognitive computing systems that not only deliver well-calibrated and trustworthy decisions, but can also be deployed in the field, are capable of adapting or learning the features of unseen input streams in a secure manner, and operate within the energy budgets of battery-operated devices?","PeriodicalId":47157,"journal":{"name":"Electrochemical Society Interface","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electrochemical Society Interface","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1149/2.f09231if","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ELECTROCHEMISTRY","Score":null,"Total":0}
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Abstract
How do we design cognitive computing systems that not only deliver well-calibrated and trustworthy decisions, but can also be deployed in the field, are capable of adapting or learning the features of unseen input streams in a secure manner, and operate within the energy budgets of battery-operated devices?
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