{"id":30628,"date":"2024-09-23T12:53:42","date_gmt":"2024-09-23T12:53:42","guid":{"rendered":"https:\/\/direc.dk\/dansk-forsker-former-fremtidens-maskinlaering-paa-harvard\/"},"modified":"2025-11-04T12:42:20","modified_gmt":"2025-11-04T12:42:20","slug":"dansk-forsker-former-fremtidens-maskinlaering-paa-harvard","status":"publish","type":"post","link":"https:\/\/direc.dk\/da\/dansk-forsker-former-fremtidens-maskinlaering-paa-harvard\/","title":{"rendered":"Dansk forsker former fremtidens maskinl\u00e6ring p\u00e5 Harvard"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tTil nyheder<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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23. september 2024<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Dansk forsker former fremtidens maskinl\u00e6ring p\u00e5 Harvard <\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Den danske forsker Emil Njor har i de seneste \u00e5r markeret sig som en dansk pioner inden for forskningsfeltet TinyML. P\u00e5 Harvard University har han bidraget til at skabe en ny generation af datas\u00e6t til lokale maskinl\u00e6ringsmodeller, der kan behandle data milj\u00f8rigtig og uden internetforbindelse. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Forestil dig en fremtid, hvor kunstig intelligens ikke er begr\u00e6nset til kraftfulde datacentre eller avancerede computere, men er indlejret i alt fra din egen kaffemaskine til industriens sensorer. Det scenarie kan blive til virkelighed med fremkomsten af TinyML, som g\u00f8r det muligt at k\u00f8re avancerede AI-modeller p\u00e5 sm\u00e5 enheder uden netforbindelse. <\/p>\n

En af pionererne inden for dansk forskning i TinyML er ph.d.-studerende Emil Njor fra DTU. I DIREC-projektet \u201cEdge-based AI systems for predictive maintenance\u201d arbejder han p\u00e5 at udvikle maskinl\u00e6ringsmodeller, der er s\u00e5 komprimerede og effektive, at de kan k\u00f8re p\u00e5 meget sm\u00e5 computere, som er meget mere robuste end systemer, der kr\u00e6ver at b\u00e5de en internetforbindelse og en virkende cloud l\u00f8sning. <\/p>\n

\u201cDa jeg startede p\u00e5 DTU, var der ikke rigtig nogen, der kendte til TinyML. I dag er vi 3-4 ph.d.-studerende, som arbejder inden for feltet, og interessen er eksploderet, fordi man kan g\u00f8re alle apparater intelligente uden at v\u00e6re afh\u00e6ngig af internettet eller store m\u00e6ngder energi,\u201d siger Emil Njor. <\/p>\n

AI uden skyen<\/h5>\n

Emil Njors passion for TinyML ligger i h\u00f8j grad i de milj\u00f8m\u00e6ssige fordele. Effektive lokale computere kan nemlig bidrage til mindre ressourcespild, fordi de g\u00f8r enheder mindre afh\u00e6ngige af konstant datakommunikation med servere i \u201cskyen\u201d.<\/p>\n

\u201cJeg pr\u00f8ver at g\u00e5 den modsatte vej af de store maskinl\u00e6ringsmodeller, som bruger mange ressourcer. I stedet arbejder vi p\u00e5 at klippe og klistre modellerne sammen, s\u00e5 de bruger f\u00e6rre ressourcer og kan k\u00f8re mere energieffektivt p\u00e5 sm\u00e5 enheder,\u201d siger han. <\/p>\n

Som et eksempel n\u00e6vner han vejrstationer, der kan bruge mikrofoner til at m\u00e5le regn eller lytte til vindens hastighed, i stedet for de traditionelle bev\u00e6gelige dele, der nemt g\u00e5r i stykker. <\/p>\n

\u201cDet er en efterspurgt l\u00f8sning. Is\u00e6r i udviklingslande, hvor der mangler pr\u00e6cise vejrdata, og traditionelle vejrstationer er dyre at vedligeholde.\u201d <\/p>\n

Skubber teknologien fremad p\u00e5 Harvard University<\/h5>\n

I l\u00f8bet af sin ph.d. har Emil Njor v\u00e6ret p\u00e5 et ophold p\u00e5 Harvard University, hvor han hjalp amerikanske forskere med at forfine datas\u00e6t og publicere ny forskning<\/a>, der kan skubbe forskningen i TinyML fremad. <\/p>\n

\u201cDe datas\u00e6t, vi har brugt i \u00e5revis, er ofte sm\u00e5, fejlbeh\u00e6ftede og ikke repr\u00e6sentative for virkeligheden. P\u00e5 Harvard University skabte vi et datas\u00e6t, der er 100 gange st\u00f8rre og med f\u00e6rre fejl end dem, man tidligere har brugt,\u201d forklarer Njor. <\/p>\n

Njor ser mange muligheder for TinyML fremover, is\u00e6r i applikationer, hvor der kr\u00e6ves hurtige og p\u00e5lidelige svar uden netv\u00e6rksforbindelse. Selvk\u00f8rende biler er endnu et godt eksempel. <\/p>\n

\u201cBiler har brug for effektive sensorer, som kan arbejde uden internet, og TinyML kan give dem den n\u00f8dvendige kapacitet til at reagere hurtigt \u2013 for eksempel hvis en fodg\u00e6nger pludselig krydser vejen. Teknologien kan virkelig g\u00f8re en forskel i praksis, og det er d\u00e9t, der motiverer mig,\u201d afslutter Emil Njor. <\/p>\n

Er du interesseret i at l\u00e6re mere om Emils arbejde med TinyML? Dyk ned i DIREC-projektet \u201cEdge-based AI systems for predictive maintenance<\/a>\u201d. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Emil Njor, ph.d.-studerende ved DTU Compute<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Se videoen: TinyML Talks: Introducing Wake Vision \u2013 A New Era in High-Quality Datasets for Tiny Machine Learning with Emil Njor<\/a><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

23. september 2024<\/b>
Den danske forsker Emil Njor har i de seneste \u00e5r markeret sig som en dansk pioner inden for forskningsfeltet TinyML. P\u00e5 Harvard University har han bidraget til at skabe en ny generation af datas\u00e6t til lokale maskinl\u00e6ringsmodeller, der kan behandle data milj\u00f8rigtig og uden internetforbindelse. <\/p>\n","protected":false},"author":3,"featured_media":30619,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[176,31],"tags":[106,63],"class_list":["post-30628","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-da","category-nyheder","tag-p06-da","tag-ws2"],"yoast_head":"\nDansk forsker former fremtidens maskinl\u00e6ring p\u00e5 Harvard - DIREC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/direc.dk\/da\/dansk-forsker-former-fremtidens-maskinlaering-paa-harvard\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dansk forsker former fremtidens maskinl\u00e6ring p\u00e5 Harvard - DIREC\" \/>\n<meta property=\"og:description\" content=\"23. september 2024Den danske forsker Emil Njor har i de seneste \u00e5r markeret sig som en dansk pioner inden for forskningsfeltet TinyML. 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