{"id":9253,"date":"2024-01-16T14:01:10","date_gmt":"2024-01-16T14:01:10","guid":{"rendered":"https:\/\/dailyai.com\/?p=9253"},"modified":"2024-01-16T14:01:10","modified_gmt":"2024-01-16T14:01:10","slug":"v-multimodal-llm-guided-visual-search-that-beats-gpt-4v","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","title":{"rendered":"V* - Ricerca visiva guidata multimodale LLM che batte GPT-4V"},"content":{"rendered":"

I ricercatori della UC San Diego e della New York University hanno sviluppato V*, un algoritmo di ricerca guidata LLM che \u00e8 molto migliore di GPT-4V per quanto riguarda la comprensione del contesto e la precisa individuazione di specifici elementi visivi nelle immagini.<\/strong><\/p>\n

I modelli linguistici multimodali di grandi dimensioni (MLLM) come GPT-4V di OpenAI ci hanno stupito l'anno scorso per la loro capacit\u00e0 di rispondere a domande sulle immagini. Per quanto impressionante sia GPT-4V, a volte fatica quando le immagini sono molto complesse e spesso non riesce a cogliere piccoli dettagli.<\/p>\n

L'algoritmo V* utilizza un LLM di Visual Question Answering (VQA) per individuare l'area dell'immagine su cui concentrarsi per rispondere a una domanda visiva. I ricercatori chiamano questa combinazione Show, sEArch, and telL (SEAL).<\/p>\n

Se qualcuno vi fornisse un'immagine ad alta risoluzione e vi facesse una domanda al riguardo, la vostra logica vi guiderebbe a zoomare su un'area in cui \u00e8 pi\u00f9 probabile trovare l'oggetto in questione. SEAL utilizza V* per analizzare le immagini in modo simile.<\/p>\n

Un modello di ricerca visiva potrebbe semplicemente dividere un'immagine in blocchi, zoomare su ciascun blocco ed elaborarlo per trovare l'oggetto in questione, ma questo \u00e8 computazionalmente molto inefficiente.<\/p>\n

Quando viene richiesta una domanda testuale su un'immagine, V* cerca innanzitutto di individuare direttamente il target dell'immagine. Se non \u00e8 in grado di farlo, chiede all'MLLM di utilizzare un approccio di buon senso per identificare l'area dell'immagine in cui \u00e8 pi\u00f9 probabile che si trovi l'obiettivo.<\/p>\n

In questo modo la ricerca si concentra solo su quell'area, anzich\u00e9 tentare una ricerca \"zoomata\" dell'intera immagine.<\/p>\n

\"\"
Quando viene richiesto di cercare la chitarra, l'LLM identifica il palco come l'area logica su cui concentrare l'analisi visiva per cercarla. Fonte: GitHub<\/figcaption><\/figure>\n

Quando al GPT-4V viene richiesto di rispondere a domande su un'immagine che richiede un'elaborazione visiva estesa di immagini ad alta risoluzione, fa fatica. SEAL con V* si comporta molto meglio.<\/p>\n

\"\"
SEAL risponde correttamente a una domanda su un'immagine, mentre GPT-4V sbaglia. Fonte: GitHub<\/figcaption><\/figure>\n

Alla domanda \"Che tipo di bevanda possiamo comprare da quel distributore automatico?\". SEAL ha risposto \"Coca-Cola\", mentre GPT-4V ha indovinato \"Pepsi\".<\/p>\n

I ricercatori hanno utilizzato 191 immagini ad alta risoluzione tratte dal set di dati Segment Anything (SAM) di Meta e hanno creato un benchmark per verificare le prestazioni di SEAL rispetto ad altri modelli. Il benchmark V*Bench testa due compiti: il riconoscimento degli attributi e il ragionamento delle relazioni spaziali.<\/p>\n

Le figure seguenti mostrano le prestazioni umane rispetto ai modelli open-source, a quelli commerciali come GPT-4V e a SEAL. L'aumento delle prestazioni di SEAL da parte di V* \u00e8 particolarmente impressionante perch\u00e9 l'MLLM sottostante che utilizza \u00e8 LLaVa-7b, che \u00e8 molto pi\u00f9 piccolo di GPT-4V.<\/p>\n

\"\"<\/p>\n

Questo approccio intuitivo all'analisi delle immagini sembra funzionare davvero bene, con una serie di esempi impressionanti sul sito sintesi del documento su GitHub<\/a>.<\/p>\n

Sar\u00e0 interessante vedere se altri MLLM, come quelli di OpenAI o di Google, adotteranno un approccio simile.<\/p>\n

Alla domanda su quale bevanda fosse venduta dal distributore automatico nell'immagine qui sopra, il bardo di Google ha risposto: \"Non c'\u00e8 nessun distributore automatico in primo piano\". Forse Gemini Ultra far\u00e0 un lavoro migliore.<\/p>\n

Per il momento, sembra che SEAL e il suo nuovo algoritmo V* siano in vantaggio rispetto ad alcuni dei pi\u00f9 grandi modelli multimodali per quanto riguarda le domande visive.<\/p>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

Ricercatori della UC San Diego e della New York University hanno sviluppato V*, un algoritmo di ricerca guidato da MLLM che \u00e8 molto pi\u00f9 bravo di GPT-4V nella comprensione del contesto e nell'individuazione precisa di specifici elementi visivi nelle immagini. I modelli linguistici multimodali di grandi dimensioni (MLLM) come GPT-4V di OpenAI ci hanno stupito l'anno scorso per la loro capacit\u00e0 di rispondere a domande sulle immagini. Per quanto impressionante sia GPT-4V, a volte ha difficolt\u00e0 quando le immagini sono molto complesse e spesso non riesce a cogliere piccoli dettagli. L'algoritmo V* utilizza un LLM di Visual Question Answering (VQA) per individuare l'area dell'immagine su cui concentrarsi per rispondere a una domanda visiva.<\/p>","protected":false},"author":6,"featured_media":9260,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,118],"class_list":["post-9253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-llms"],"yoast_head":"\nV* - Multimodal LLM guided visual search that beats GPT-4V | 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\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"V* - Multimodal LLM guided visual search that beats GPT-4V | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from UC San Diego and New York University developed V*, an LLM-guided search algorithm that is a lot better than GPT-4V at contextual understanding, and precise targeting of specific visual elements in images. Multimodal Large Language Models (MLLM) like OpenAI\u2019s GPT-4V blew us away last year with the ability to answer questions about images. As impressive as GPT-4V is, it struggles sometimes when images are very complex and often misses small details. The V* algorithm uses a Visual Question Answering (VQA) LLM to guide it in identifying which area of the image to focus on to answer a visual\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/it\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-01-16T14:01:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/needle-in-haystack.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"664\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\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=\"Eugene van der Watt\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minuti\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/\"},\"author\":{\"name\":\"Eugene van der Watt\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\"},\"headline\":\"V* – Multimodal LLM guided visual search that beats GPT-4V\",\"datePublished\":\"2024-01-16T14:01:10+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/\"},\"wordCount\":573,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/needle-in-haystack.jpg\",\"keywords\":[\"Computer vision\",\"LLMS\"],\"articleSection\":[\"Industry\"],\"inLanguage\":\"it-IT\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/\",\"name\":\"V* - Multimodal LLM guided visual search that beats GPT-4V | DailyAI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/needle-in-haystack.jpg\",\"datePublished\":\"2024-01-16T14:01:10+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#breadcrumb\"},\"inLanguage\":\"it-IT\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#primaryimage\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/needle-in-haystack.jpg\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/01\\\/needle-in-haystack.jpg\",\"width\":1000,\"height\":664},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/01\\\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/dailyai.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"V* – Multimodal LLM guided visual search that beats GPT-4V\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\",\"url\":\"https:\\\/\\\/dailyai.com\\\/\",\"name\":\"DailyAI\",\"description\":\"Your Daily Dose of AI News\",\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/dailyai.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"it-IT\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\",\"name\":\"DailyAI\",\"url\":\"https:\\\/\\\/dailyai.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Daily-Ai_TL_colour.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Daily-Ai_TL_colour.png\",\"width\":4501,\"height\":934,\"caption\":\"DailyAI\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/x.com\\\/DailyAIOfficial\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/dailyaiofficial\\\/\",\"https:\\\/\\\/www.youtube.com\\\/@DailyAIOfficial\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\",\"name\":\"Eugene van der Watt\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"it-IT\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"caption\":\"Eugene van der Watt\"},\"description\":\"Eugene comes from an electronic engineering background and loves all things tech. When he takes a break from consuming AI news you'll find him at the snooker table.\",\"sameAs\":[\"www.linkedin.com\\\/in\\\/eugene-van-der-watt-16828119\"],\"url\":\"https:\\\/\\\/dailyai.com\\\/it\\\/author\\\/eugene\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"V* - Ricerca visiva guidata multimodale LLM che batte GPT-4V | DailyAI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/dailyai.com\/it\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","og_locale":"it_IT","og_type":"article","og_title":"V* - Multimodal LLM guided visual search that beats GPT-4V | DailyAI","og_description":"Researchers from UC San Diego and New York University developed V*, an LLM-guided search algorithm that is a lot better than GPT-4V at contextual understanding, and precise targeting of specific visual elements in images. Multimodal Large Language Models (MLLM) like OpenAI\u2019s GPT-4V blew us away last year with the ability to answer questions about images. As impressive as GPT-4V is, it struggles sometimes when images are very complex and often misses small details. The V* algorithm uses a Visual Question Answering (VQA) LLM to guide it in identifying which area of the image to focus on to answer a visual","og_url":"https:\/\/dailyai.com\/it\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","og_site_name":"DailyAI","article_published_time":"2024-01-16T14:01:10+00:00","og_image":[{"width":1000,"height":664,"url":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/needle-in-haystack.jpg","type":"image\/jpeg"}],"author":"Eugene van der Watt","twitter_card":"summary_large_image","twitter_creator":"@DailyAIOfficial","twitter_site":"@DailyAIOfficial","twitter_misc":{"Scritto da":"Eugene van der Watt","Tempo di lettura stimato":"3 minuti"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"NewsArticle","@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#article","isPartOf":{"@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/"},"author":{"name":"Eugene van der Watt","@id":"https:\/\/dailyai.com\/#\/schema\/person\/7ce525c6d0c79838b7cc7cde96993cfa"},"headline":"V* – Multimodal LLM guided visual search that beats GPT-4V","datePublished":"2024-01-16T14:01:10+00:00","mainEntityOfPage":{"@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/"},"wordCount":573,"publisher":{"@id":"https:\/\/dailyai.com\/#organization"},"image":{"@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#primaryimage"},"thumbnailUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/needle-in-haystack.jpg","keywords":["Computer vision","LLMS"],"articleSection":["Industry"],"inLanguage":"it-IT"},{"@type":"WebPage","@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","url":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","name":"V* - Ricerca visiva guidata multimodale LLM che batte GPT-4V | DailyAI","isPartOf":{"@id":"https:\/\/dailyai.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#primaryimage"},"image":{"@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#primaryimage"},"thumbnailUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/needle-in-haystack.jpg","datePublished":"2024-01-16T14:01:10+00:00","breadcrumb":{"@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/"]}]},{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#primaryimage","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/needle-in-haystack.jpg","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/01\/needle-in-haystack.jpg","width":1000,"height":664},{"@type":"BreadcrumbList","@id":"https:\/\/dailyai.com\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/dailyai.com\/"},{"@type":"ListItem","position":2,"name":"V* – Multimodal LLM guided visual search that beats GPT-4V"}]},{"@type":"WebSite","@id":"https:\/\/dailyai.com\/#website","url":"https:\/\/dailyai.com\/","name":"DailyAI","description":"La vostra dose quotidiana di notizie sull'intelligenza artificiale","publisher":{"@id":"https:\/\/dailyai.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/dailyai.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"it-IT"},{"@type":"Organization","@id":"https:\/\/dailyai.com\/#organization","name":"DailyAI","url":"https:\/\/dailyai.com\/","logo":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/dailyai.com\/#\/schema\/logo\/image\/","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/06\/Daily-Ai_TL_colour.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/06\/Daily-Ai_TL_colour.png","width":4501,"height":934,"caption":"DailyAI"},"image":{"@id":"https:\/\/dailyai.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/DailyAIOfficial","https:\/\/www.linkedin.com\/company\/dailyaiofficial\/","https:\/\/www.youtube.com\/@DailyAIOfficial"]},{"@type":"Person","@id":"https:\/\/dailyai.com\/#\/schema\/person\/7ce525c6d0c79838b7cc7cde96993cfa","name":"Eugene van der Watt","image":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","caption":"Eugene van der Watt"},"description":"Eugene proviene da un background di ingegneria elettronica e ama tutto ci\u00f2 che \u00e8 tecnologico. Quando si prende una pausa dal consumo di notizie sull'intelligenza artificiale, lo si pu\u00f2 trovare al tavolo da biliardo.","sameAs":["www.linkedin.com\/in\/eugene-van-der-watt-16828119"],"url":"https:\/\/dailyai.com\/it\/author\/eugene\/"}]}},"_links":{"self":[{"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/posts\/9253","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/comments?post=9253"}],"version-history":[{"count":4,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/posts\/9253\/revisions"}],"predecessor-version":[{"id":9261,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/posts\/9253\/revisions\/9261"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/media\/9260"}],"wp:attachment":[{"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/media?parent=9253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/categories?post=9253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dailyai.com\/it\/wp-json\/wp\/v2\/tags?post=9253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}