{"id":12486,"date":"2024-05-21T18:26:24","date_gmt":"2024-05-21T18:26:24","guid":{"rendered":"https:\/\/dailyai.com\/?p=12486"},"modified":"2024-05-21T20:56:24","modified_gmt":"2024-05-21T20:56:24","slug":"researchers-train-model-to-create-images-without-seeing-copyrighted-work","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2024\/05\/researchers-train-model-to-create-images-without-seeing-copyrighted-work\/","title":{"rendered":"I ricercatori addestrano un modello per creare immagini senza \"vedere\" opere protette da copyright"},"content":{"rendered":"<p><b>I ricercatori dell'Universit\u00e0 del Texas di Austin hanno sviluppato una struttura innovativa per l'addestramento di modelli di intelligenza artificiale su immagini fortemente corrotte.\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Conosciuto come Ambient Diffusion, questo metodo consente ai modelli di intelligenza artificiale di \"trarre ispirazione\" dalle immagini. <em>senza<\/em> copiandoli direttamente.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I modelli convenzionali testo-immagine utilizzati da <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">DALL-E<\/span><\/span><\/span>Midjourney e Stable Diffusion rischiano di violare il diritto d'autore perch\u00e9 sono addestrati su insiemi di dati che includono immagini protette da copyright, il che li porta a replicare inavvertitamente tali immagini.\u00a0<\/span><\/p>\n<p>Ambient Diffusion ribalta la situazione addestrando i modelli con dati deliberatamente corrotti.<\/p>\n<p><span style=\"font-weight: 400;\">Nel <a href=\"https:\/\/arxiv.org\/pdf\/2404.10177\" target=\"_blank\" rel=\"noopener\">studio<\/a>Il team di ricerca, composto da Alex Dimakis e Giannis Daras del dipartimento di ingegneria elettrica e informatica della UT Austin e da Constantinos Daskalakis del dipartimento di ingegneria informatica della UT Austin, ha condotto un'indagine su questo tema. <span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\"><span class=\"noTranslate\" data-no-translation=\"\">MIT<\/span><\/span><\/span><\/span><\/span>ha addestrato un modello Stable Diffusion XL su un set di 3.000 immagini di celebrit\u00e0.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Inizialmente, si \u00e8 osservato che i modelli addestrati su dati puliti copiavano palesemente gli esempi di addestramento.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Tuttavia, quando i dati di addestramento sono stati corrotti - mascherando in modo casuale fino a 90% dei pixel - il modello ha prodotto comunque immagini uniche e di alta qualit\u00e0.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ci\u00f2 significa che l'IA non \u00e8 mai esposta a versioni riconoscibili delle immagini originali, impedendole di copiarle.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"La nostra struttura permette di controllare il compromesso tra memorizzazione e prestazioni\". <\/span><a href=\"https:\/\/techxplore.com\/news\/2024-05-ai-images.html\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">ha spiegato Giannis Daras<\/span><\/a><span style=\"font-weight: 400;\">, uno studente di informatica che ha guidato il lavoro.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\"All'aumentare del livello di corruzione incontrato durante l'addestramento, la memorizzazione del set di addestramento diminuisce\".<\/span><\/p>\n<h2>Applicazioni scientifiche e mediche<\/h2>\n<p><span style=\"font-weight: 400;\">Gli usi della diffusione ambientale vanno oltre la risoluzione dei problemi di copyright.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Secondo il professor Adam Klivans, collaboratore del progetto, \"Il framework potrebbe rivelarsi utile anche per applicazioni scientifiche e mediche. Questo sarebbe vero per qualsiasi ricerca in cui \u00e8 costoso o impossibile avere una serie completa di dati non corrotti, dall'imaging dei buchi neri ad alcuni tipi di risonanza magnetica\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ci\u00f2 \u00e8 particolarmente vantaggioso nei settori con accesso limitato a dati non corrotti, come ad esempio <a href=\"https:\/\/dailyai.com\/it\/2023\/07\/groundbreaking-neural-network-supports-complex-physics-research\/\">astronomia e fisica delle particelle<\/a>.\u00a0<\/span><\/p>\n<p>In questi e in altri campi, i dati possono essere estremamente rumorosi, di scarsa qualit\u00e0 o scarsi, il che significa che i dati significativi sono in gran parte superati da quelli inutili. In questo caso sarebbe utile insegnare ai modelli a utilizzare in modo pi\u00f9 efficiente i dati non ottimali.<\/p>\n<p>Se l'approccio di Ambient Diffusion fosse ulteriormente perfezionato, le aziende di IA potrebbero creare modelli di testo-immagine funzionali, rispettando i diritti dei creatori di contenuti originali ed evitando problemi legali.<\/p>\n<p>Sebbene ci\u00f2 non risolva i timori che gli strumenti per le immagini dell'IA riducano il bacino di lavoro degli artisti reali, almeno proteggerebbe le loro opere dall'essere accidentalmente replicate in output.<\/p>","protected":false},"excerpt":{"rendered":"<p>I ricercatori dell'Universit\u00e0 del Texas di Austin hanno sviluppato una struttura innovativa per l'addestramento di modelli di intelligenza artificiale su immagini fortemente corrotte.  Conosciuto come Ambient Diffusion, questo metodo consente ai modelli di intelligenza artificiale di \"trarre ispirazione\" dalle immagini senza copiarle direttamente. I modelli convenzionali da testo a immagine utilizzati da DALL-E, Midjourney e Stable Diffusion rischiano di violare il copyright perch\u00e9 vengono addestrati su serie di dati che includono immagini protette da copyright, il che li porta talvolta a replicare inavvertitamente tali immagini.  Ambient Diffusion ribalta la situazione addestrando i modelli con dati deliberatamente corrotti. Nello studio, il team di ricerca, che comprende Alex Dimakis e Giannis Daras dell'Istituto di Elettrotecnica e Informatica, ha studiato i modelli con dati deliberatamente corrotti.<\/p>","protected":false},"author":2,"featured_media":12492,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[165,105],"class_list":["post-12486","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-image-generation","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Researchers train model to create images without &#039;seeing&#039; copyrighted work | DailyAI<\/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:\/\/dailyai.com\/it\/2024\/05\/researchers-train-model-to-create-images-without-seeing-copyrighted-work\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Researchers train model to create images without &#039;seeing&#039; copyrighted work | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at The University of Texas at Austin have developed an innovative framework for training AI models on heavily corrupted images.\u00a0 Known as Ambient Diffusion, this method enables AI models to &#8216;draw inspiration&#8217; from images without directly copying them. Conventional text-to-image models used by DALL-E, Midjourney, and Stable Diffusion risk copyright infringement because they&#8217;re trained on datasets that include copyrighted images, leading them to sometimes inadvertently replicate those images.\u00a0 Ambient Diffusion flips that on its head by training models with deliberately corrupted data. In the study, the research team, including Alex Dimakis and Giannis Daras from the Electrical and Computer\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/it\/2024\/05\/researchers-train-model-to-create-images-without-seeing-copyrighted-work\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-05-21T18:26:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-21T20:56:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/05\/DALL\u00b7E-2024-05-21-19.21.33-A-high-tech-lab-with-researchers-working-on-a-diffusion-model-for-creating-images-without-seeing-copyrighted-work.-The-focal-point-is-a-large-comput.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Sam Jeans\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sam Jeans\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/05\\\/researchers-train-model-to-create-images-without-seeing-copyrighted-work\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/05\\\/researchers-train-model-to-create-images-without-seeing-copyrighted-work\\\/\"},\"author\":{\"name\":\"Sam Jeans\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/711e81f945549438e8bbc579efdeb3c9\"},\"headline\":\"Researchers train model to create images without &#8216;seeing&#8217; 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