{"id":1478,"date":"2024-12-21T00:53:37","date_gmt":"2024-12-21T00:53:37","guid":{"rendered":"https:\/\/paskutinenaujiena.lt\/index.php\/2024\/12\/21\/helm-ai-atnaujina-generatyvuji-ai-modeli-kad-praturtintu-autonominio-vairavimo-duomenis\/"},"modified":"2024-12-21T00:53:37","modified_gmt":"2024-12-21T00:53:37","slug":"helm-ai-atnaujina-generatyvuji-ai-modeli-kad-praturtintu-autonominio-vairavimo-duomenis","status":"publish","type":"post","link":"https:\/\/paskutinenaujiena.lt\/index.php\/2024\/12\/21\/helm-ai-atnaujina-generatyvuji-ai-modeli-kad-praturtintu-autonominio-vairavimo-duomenis\/","title":{"rendered":"Helm.ai atnaujina generatyv\u0173j\u012f AI model\u012f, kad praturtint\u0173 autonominio vairavimo duomenis"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<div id=\"attachment_582049\" style=\"width: 1010px\" class=\"wp-caption aligncenter\"><\/p>\n<p id=\"caption-attachment-582049\" class=\"wp-caption-text\">\u201eHelm.ai\u201c \u201eGenSim-2\u201c leid\u017eia vartotojams modifikuoti vaizdo duomenis naudojant generatyv\u0173j\u012f AI. | \u0160altinis: Helm.ai<\/p>\n<\/div>\n<p>Autonomini\u0173 transporto priemoni\u0173 k\u016br\u0117jai netrukus gal\u0117s panaudoti generatyv\u0173j\u012f AI, kad gaut\u0173 daugiau naudos i\u0161 keliuose renkam\u0173 duomen\u0173. <span style=\"font-weight: 400;\">\u201eHelm.ai\u201c \u0161i\u0105 savait\u0119 pristat\u0117 \u201eGenSim-2\u201c \u2013 nauj\u0105 generatyv\u0173j\u012f AI model\u012f, skirt\u0105 vaizdo duomenims kurti ir modifikuoti autonominiam vairavimui. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bendrov\u0117 teig\u0117, kad modelis pristato AI pagr\u012fst\u0105 vaizdo \u012fra\u0161\u0105 <\/span><span style=\"font-weight: 400;\">redagavimo galimyb\u0117s, \u012fskaitant dinami\u0161k\u0105 oro ir ap\u0161vietimo reguliavim\u0105, objekt\u0173 i\u0161vaizdos modifikacijas ir nuosekl\u0173 keli\u0173 kamer\u0173 palaikym\u0105. Helm.ai pasak\u0117 t<\/span>\u0160ios pa\u017eangos suteikia automobili\u0173 gamintojams kei\u010diamo dyd\u017eio, ekonomi\u0161kai efektyvi\u0105 sistem\u0105, kuri praturtina duomen\u0173 rinkinius ir sprend\u017eia ilgas autonominio vairavimo problemas.<\/p>\n<p>Apmokytas naudojant Helm.ai patentuot\u0105 Deep Teaching metodik\u0105 ir giliuosius neuroninius tinklus, GenSim-2 praple\u010dia savo pirmtako GenSim-1 galimybes. Helm.ai teig\u0117, kad naujasis modelis leid\u017eia automobili\u0173 gamintojams generuoti \u012fvairius, labai tikrovi\u0161kus vaizdo duomenis, pritaikytus konkretiems reikalavimams, taip palengvinant tvirt\u0173 autonominio vairavimo sistem\u0173 k\u016brim\u0105.<\/p>\n<p>\u012emon\u0117 \u012fkurta 2016 m., jos b\u016bstin\u0117 yra Redwood City, CA<span style=\"font-weight: 400;\"> kuria AI programin\u0119 \u012frang\u0105, skirt\u0105 ADAS, autonominiam vairavimui ir robotikai. Helm.ai si\u016blo vis\u0105 kr\u016bv\u0105 realaus laiko dirbtinio intelekto sistemas, \u012fskaitant giluminius neuroninius tinklus, skirtus va\u017eiavimui greitkeliuose ir mieste, visapusi\u0161kas autonomines sistemas ir k\u016brimo bei patvirtinimo \u012frankius, maitinamus Deep Teaching ir generatyvaus AI. <\/span>\u012emon\u0117 bendradarbiauja su pasauliniais automobili\u0173 gamintojais vykdydama su gamyba susijusius projektus.<\/p>\n<h2>Helm.ai turi kelet\u0105 generuojam\u0173j\u0173 dirbtinio intelekto produkt\u0173<\/h2>\n<p><iframe loading=\"lazy\" title=\"GenSim-2: Generative AI with Video Editing Capabilities for Autonomous Driving\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/uQLVmmwQRI0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Naudodamos \u201eGenSim-2\u201c, k\u016brimo komandos gali keisti oro ir ap\u0161vietimo s\u0105lygas, tokias kaip lietus, r\u016bkas, sniegas, akinimas ir paros laikas (dienos, nakties) vaizdo duomenyse. Helm.ai teig\u0117, kad modelis palaiko ir papildytos realyb\u0117s modifikacijas realaus pasaulio vaizdo \u012fra\u0161uose, ir visi\u0161kai dirbtinio intelekto sukurt\u0173 vaizdo scen\u0173 k\u016brim\u0105.<\/p>\n<p>Be to, ji leid\u017eia pritaikyti ir koreguoti objekt\u0173 i\u0161vaizd\u0105, pvz., kelio dang\u0105 (pvz., asfaltuot\u0105, \u012ftr\u016bkusi\u0105 ar \u0161lapi\u0105), transporto priemon\u0117ms (tipas ir spalva), p\u0117stiesiems, pastatams, augmenijai ir kitiems kelio objektams, pvz., apsauginiams tur\u0117klams. \u0160ios transformacijos gali b\u016bti nuosekliai taikomos keli\u0173 kamer\u0173 perspektyvose, siekiant padidinti tikrovi\u0161kum\u0105 ir nuoseklum\u0105 visame duomen\u0173 rinkinyje.<\/p>\n<p>\u201eGeb\u0117jimas manipuliuoti vaizdo duomenimis \u0161iuo valdymo ir tikrovi\u0161kumo lygiu \u017eymi \u0161uol\u012f \u012f priek\u012f generacin\u0117s dirbtinio intelekto modeliavimo technologijoje\u201c, \u2013 sak\u0117 Vladislav Voroninski, Helm.ai generalinis direktorius ir \u012fk\u016br\u0117jas. \u201eGenSim-2 apr\u016bpina automobili\u0173 gamintojus neprilygstamais \u012frankiais, skirtais didelio tikslumo pa\u017eym\u0117tiems duomenims generuoti mokymams ir patvirtinimui, taip suma\u017einant atotr\u016bk\u012f tarp modeliavimo ir reali\u0173 s\u0105lyg\u0173, kad b\u016bt\u0173 paspartintas k\u016brimo laikas ir suma\u017eintos i\u0161laidos.<\/p>\n<p>Helm.ai teig\u0117, kad GenSim-2 sprend\u017eia pramon\u0117s i\u0161\u0161\u016bkius, si\u016blydama alternatyv\u0105 daug i\u0161tekli\u0173 reikalaujantiems tradiciniams duomen\u0173 rinkimo metodams. Jo geb\u0117jimas generuoti ir modifikuoti konkre\u010diam scenarijui b\u016bdingus vaizdo duomenis palaiko daugyb\u0119 savaranki\u0161ko vairavimo program\u0173, pradedant programin\u0117s \u012frangos k\u016brimu ir patvirtinimu \u012fvairiose geografin\u0117se vietov\u0117se iki ret\u0173 ir sud\u0117ting\u0173 kampini\u0173 atvej\u0173 sprendimo.<\/p>\n<p>Spalio m\u0117nes\u012f bendrov\u0117 i\u0161leido VidGen-2 \u2013 kit\u0105 autonominio vairavimo k\u016brimo \u012frank\u012f, pagr\u012fst\u0105 generatyviniu AI. VidGen-2 generuoja nusp\u0117jamas vaizdo \u012fra\u0161\u0173 sekas su tikrovi\u0161ka i\u0161vaizda ir dinami\u0161ku scenos modeliavimu. Atnaujinta sistema si\u016blo dvigubai didesn\u0119 skiriam\u0105j\u0105 geb\u0105 nei jos pirmtakas VidGen-1, patobulint\u0105 tikrovi\u0161kum\u0105 30 kadr\u0173 per sekund\u0119 grei\u010diu ir keli\u0173 kamer\u0173 palaikym\u0105 su dvigubai didesne rai\u0161ka vienai kamerai. <\/p>\n<p>\u201eHelm.ai\u201c taip pat si\u016blo \u201eWorldGen-1\u201c \u2013 generatyv\u0173j\u012f AI pagrindo model\u012f, kuris, pasak jos, gali imituoti vis\u0105 autonomini\u0173 transporto priemoni\u0173 kr\u016bv\u0105. Bendrov\u0117 teig\u0117, kad gali sukurti, ekstrapoliuoti ir numatyti tikrovi\u0161k\u0105 vairavimo aplink\u0105 ir elges\u012f. Jis gali sukurti vairavimo scenas \u012fvairiais jutikli\u0173 b\u016bdais ir perspektyvomis. <\/p>\n<p><iframe loading=\"lazy\" title=\"WorldGen-1: Multi-sensor generative AI model for autonomous driving\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/mgpUzW58k8E?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p><!--<rdf:RDF xmlns:rdf=\"http:\/\/www.w3.org\/1999\/02\/22-rdf-syntax-ns#\"\n\t\t\txmlns:dc=\"http:\/\/purl.org\/dc\/elements\/1.1\/\"\n\t\t\txmlns:trackback=\"http:\/\/madskills.com\/public\/xml\/rss\/module\/trackback\/\">\n\t\t<rdf:Description rdf:about=\"https:\/\/www.therobotreport.com\/helm-ai-upgrades-generative-ai-model-to-enrich-autonomous-driving-data\/\"\n    dc:identifier=\"https:\/\/www.therobotreport.com\/helm-ai-upgrades-generative-ai-model-to-enrich-autonomous-driving-data\/\"\n    dc:title=\"Helm.ai upgrades generative AI model to enrich autonomous driving data\"\n    trackback:ping=\"https:\/\/www.therobotreport.com\/helm-ai-upgrades-generative-ai-model-to-enrich-autonomous-driving-data\/trackback\/\" \/>\n<\/rdf:RDF>-->\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/www.therobotreport.com\/helm-ai-upgrades-generative-ai-model-to-enrich-autonomous-driving-data\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201eHelm.ai\u201c \u201eGenSim-2\u201c leid\u017eia vartotojams modifikuoti vaizdo duomenis naudojant generatyv\u0173j\u012f AI. | \u0160altinis: Helm.ai Autonomini\u0173 transporto priemoni\u0173 k\u016br\u0117jai netrukus gal\u0117s panaudoti generatyv\u0173j\u012f AI, kad gaut\u0173 daugiau naudos i\u0161 keliuose renkam\u0173 duomen\u0173. \u201eHelm.ai\u201c \u0161i\u0105 savait\u0119 pristat\u0117 \u201eGenSim-2\u201c \u2013 nauj\u0105 generatyv\u0173j\u012f AI model\u012f, skirt\u0105 vaizdo duomenims kurti ir modifikuoti autonominiam vairavimui. Bendrov\u0117 teig\u0117, kad modelis pristato AI pagr\u012fst\u0105 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1479,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[5],"tags":[3046,3050,574,3047,3045,122,3048,3049,2477],"class_list":["post-1478","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-robotai-versle-namuose","tag-atnaujina","tag-autonominio","tag-duomenis","tag-generatyvuji","tag-helm-ai","tag-kad","tag-modeli","tag-praturtintu","tag-vairavimo"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/posts\/1478","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/comments?post=1478"}],"version-history":[{"count":0,"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/posts\/1478\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/media\/1479"}],"wp:attachment":[{"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/media?parent=1478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/categories?post=1478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/paskutinenaujiena.lt\/index.php\/wp-json\/wp\/v2\/tags?post=1478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}