Pub Date : 2023-09-01DOI: 10.1109/mpot.2023.3241448
Lily Johnson, Alexandra Zhang Jiang
The IEEE Student Branch from the University of California, Irvine (IEEE@UCI) launched the Open Project Space (OPS) program to provide engineering students with the opportunity to practice valuable skills and theories learned in the classroom.
{"title":"Beyond the classroom: Open Project Space at the University of California, Irvine","authors":"Lily Johnson, Alexandra Zhang Jiang","doi":"10.1109/mpot.2023.3241448","DOIUrl":"https://doi.org/10.1109/mpot.2023.3241448","url":null,"abstract":"The IEEE Student Branch from the University of California, Irvine (IEEE@UCI) launched the Open Project Space (OPS) program to provide engineering students with the opportunity to practice valuable skills and theories learned in the classroom.","PeriodicalId":39514,"journal":{"name":"IEEE Potentials","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136354798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1109/MPOT.2022.3229823
Jennifer A. Fehring, Tamara Bonaci
Deepfakes are images or videos generated using deep learning technology to change the original conditions of a piece of media. Potential uses of this technology range from satirical content, depicting public figures in comical scenarios; to generating audio to mimic a specific voice; to inserting the face of an unknowing individual into potentially embarrassing content, for example, a pornographic scene. As deepfake technologies, such as autoencoders and generative adversarial networks (GANs), become more advanced and accessible, deepfakes become easier to create and more believable. This poses some serious threats to individual and institutional safety, as scenes can be modified to alter public perception. Although technology to identify deepfakes does exist, it is essential that these methods progress as rapidly as deepfake technology so that they remain accurate. Additionally, legal consequences for deepfakes are limited, so continued advocacy for increased protection against false content is crucial.
{"title":"It looks like me, but it isn’t me: On the societal implications of deepfakes","authors":"Jennifer A. Fehring, Tamara Bonaci","doi":"10.1109/MPOT.2022.3229823","DOIUrl":"https://doi.org/10.1109/MPOT.2022.3229823","url":null,"abstract":"Deepfakes are images or videos generated using deep learning technology to change the original conditions of a piece of media. Potential uses of this technology range from satirical content, depicting public figures in comical scenarios; to generating audio to mimic a specific voice; to inserting the face of an unknowing individual into potentially embarrassing content, for example, a pornographic scene. As deepfake technologies, such as autoencoders and generative adversarial networks (GANs), become more advanced and accessible, deepfakes become easier to create and more believable. This poses some serious threats to individual and institutional safety, as scenes can be modified to alter public perception. Although technology to identify deepfakes does exist, it is essential that these methods progress as rapidly as deepfake technology so that they remain accurate. Additionally, legal consequences for deepfakes are limited, so continued advocacy for increased protection against false content is crucial.","PeriodicalId":39514,"journal":{"name":"IEEE Potentials","volume":"42 1","pages":"33-38"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46770670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1109/mpot.2023.3267901
Rae Yule Kim
Social media can be an effective medium to reach Generation Z (Gen Z) and advertise science, technology, engineering, and mathematics (STEM) programs. Creating viral content on social media is all about starting a trend and attracting user-generated content. One successful content can nudge millions of user-generated content and generate billions of views.
{"title":"How to Market to Generation Z on Social Media","authors":"Rae Yule Kim","doi":"10.1109/mpot.2023.3267901","DOIUrl":"https://doi.org/10.1109/mpot.2023.3267901","url":null,"abstract":"Social media can be an effective medium to reach Generation Z (Gen Z) and advertise science, technology, engineering, and mathematics (STEM) programs. Creating viral content on social media is all about starting a trend and attracting user-generated content. One successful content can nudge millions of user-generated content and generate billions of views.","PeriodicalId":39514,"journal":{"name":"IEEE Potentials","volume":"42 1","pages":"20-22"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47529251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1109/mpot.2023.3306131
{"title":"TechRxiv: Share Your Preprint Research With the World!","authors":"","doi":"10.1109/mpot.2023.3306131","DOIUrl":"https://doi.org/10.1109/mpot.2023.3306131","url":null,"abstract":"","PeriodicalId":39514,"journal":{"name":"IEEE Potentials","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136355032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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