Pub Date : 2024-06-06DOI: 10.1109/MSPEC.2024.10551789
Thomas S. Mullaney
Today, typing in Chinese works by converting QWERTY keystrokes into Chinese characters via a software interface, known as an input method editor. But this was not always the case. Thomas S. Mullaney's new book, The Chinese Computer: A Global History of the Information Age, published by the MIT Press, unearths the forgotten history of Chinese input in the 20th century. In this article, which was adapted from an excerpt of the book, he details the varied Chinese input systems of the 1960s and 1970s that renounced QWERTY altogether. “This will destroy China forever,” a young Taiwanese cadet thought as he sat in rapt attention. The renowned historian Arnold J. Toynbee was on stage, delivering a lecture at Washington and Lee University on “A Changing World in Light of History.” The talk plowed the professor's favorite field of inquiry: the genesis, growth, death, and disintegration of human civilizations, immortalized in his magnum opus A Study of History. Tonight's talk threw the spotlight on China.
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Pub Date : 2024-06-06DOI: 10.1109/MSPEC.2024.10551792
Anna Herr;Quentin Herr
What's more, this projection was made before the sudden explosion of generative AI. The amount of computing resources used to train the largest AI models has been doubling roughly every 6 months for more than the past decade. At this rate, by 2030 training a single artificial-intelligence model would take one hundred times as much computing resources as the combined annual resources of the current top 10 super-computers. Simply put, computing will require colossal amounts of power, soon exceeding what our planet can provide.
{"title":"A Data Center in a Shoebox: IMEC's Plan to use Superconductors to Shrink Computers","authors":"Anna Herr;Quentin Herr","doi":"10.1109/MSPEC.2024.10551792","DOIUrl":"https://doi.org/10.1109/MSPEC.2024.10551792","url":null,"abstract":"What's more, this projection was made before the sudden explosion of generative AI. The amount of computing resources used to train the largest AI models has been doubling roughly every 6 months for more than the past decade. At this rate, by 2030 training a single artificial-intelligence model would take one hundred times as much computing resources as the combined annual resources of the current top 10 super-computers. Simply put, computing will require colossal amounts of power, soon exceeding what our planet can provide.","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141286674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1109/MSPEC.2024.10491387
F. Levent Degertekin
A STARTLING CHANGE in medical ultrasound is working its way through hospitals and physicians' offices. The long-standing, state-of-the-art ultrasound machine that's pushed around on a cart, with cables and multiple probes dangling, is being wheeled aside perma-nently in favor of handheld probes that send images to a phone.
{"title":"How Ultrasound Became Ultra Small","authors":"F. Levent Degertekin","doi":"10.1109/MSPEC.2024.10491387","DOIUrl":"https://doi.org/10.1109/MSPEC.2024.10491387","url":null,"abstract":"A STARTLING CHANGE in medical ultrasound is working its way through hospitals and physicians' offices. The long-standing, state-of-the-art ultrasound machine that's pushed around on a cart, with cables and multiple probes dangling, is being wheeled aside perma-nently in favor of handheld probes that send images to a phone.","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1109/MSPEC.2024.10491279
Michael Koziol
Starting a new engineering program at a university is no simple task. But that's just what Brandeis University in Waltham, Mass., is doing. By 2026, the university will offer an undergraduate engineering degree-but without creating an engineering department. Instead, Brandeis aims to lean on its strong liberal arts tradition, in hope of offering something dif-ferent from the more than 3,500 other engineering programs in the United States accredited by the Accreditation Board for Engineering and Technol-ogy (ABET). IEEE Spectrum spoke with Seth Fraden, one of the new program's interim cochairs, about getting a new engineering program up and running.
{"title":"5 Questions for Seth Fraden: How to boot up a new engineering program","authors":"Michael Koziol","doi":"10.1109/MSPEC.2024.10491279","DOIUrl":"https://doi.org/10.1109/MSPEC.2024.10491279","url":null,"abstract":"Starting a new engineering program at a university is no simple task. But that's just what Brandeis University in Waltham, Mass., is doing. By 2026, the university will offer an undergraduate engineering degree-but without creating an engineering department. Instead, Brandeis aims to lean on its strong liberal arts tradition, in hope of offering something dif-ferent from the more than 3,500 other engineering programs in the United States accredited by the Accreditation Board for Engineering and Technol-ogy (ABET). IEEE Spectrum spoke with Seth Fraden, one of the new program's interim cochairs, about getting a new engineering program up and running.","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10491279","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1109/MSPEC.2024.10491274
Edd Gent
Engineers are used to being experts in their field, but when Zach Rattner cofounded his artificial-intelligence startup, Yembo, he quickly realized he needed to get com-fortable with being out of his depth. He found the transition from employee to business owner to be a steep learning curve. Taking on a host of unfamil-iar responsibilities like finance and sales required a significant shift in mind-set.
{"title":"Careers: Zach Rattner: His startup's AI tool makes moving day easier","authors":"Edd Gent","doi":"10.1109/MSPEC.2024.10491274","DOIUrl":"https://doi.org/10.1109/MSPEC.2024.10491274","url":null,"abstract":"Engineers are used to being experts in their field, but when Zach Rattner cofounded his artificial-intelligence startup, Yembo, he quickly realized he needed to get com-fortable with being out of his depth. He found the transition from employee to business owner to be a steep learning curve. Taking on a host of unfamil-iar responsibilities like finance and sales required a significant shift in mind-set.","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10491274","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140348361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1109/MSPEC.2024.10491390
Allison Marsh
Starting in the 1950s, L. Ron Hubbard, the founder of Scientology, promoted the electropsychometer as a means of measuring the souls, spirits, and minds of potential church members.
从 20 世纪 50 年代开始，山达基创始人罗恩-哈伯德（L. Ron Hubbard）推广电心理测量仪，将其作为测量潜在教会成员的灵魂、精神和思想的一种手段。
{"title":"Past Forward: The Scientology Machine","authors":"Allison Marsh","doi":"10.1109/MSPEC.2024.10491390","DOIUrl":"https://doi.org/10.1109/MSPEC.2024.10491390","url":null,"abstract":"Starting in the 1950s, L. Ron Hubbard, the founder of Scientology, promoted the electropsychometer as a means of measuring the souls, spirits, and minds of potential church members.","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10491390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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