{"id":37258,"date":"2019-10-31T22:16:37","date_gmt":"2019-10-31T19:16:37","guid":{"rendered":"https:\/\/prohoster.info\/blog\/ai-pomogaet-izuchat-zhivotnyh-afriki\/"},"modified":"2019-10-31T22:16:37","modified_gmt":"2019-10-31T19:16:37","slug":"ai-pomogaet-izuchat-zhivotnyh-afriki","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hr\/blog\/news\/ai-pomogaet-izuchat-zhivotnyh-afriki","title":{"rendered":"AI poma\u017ee u prou\u010davanju \u017eivotinja Afrike","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"AI poma\u017ee u prou\u010davanju \u017eivotinja Afrike\" src=\"\/wp-content\/uploads\/2019\/08\/82b43b50b9151dc37248828567759026.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Iz bilo kojeg elektri\u010dnog kuhala povezanog na internet, mo\u017eemo \u010duti o tome kako AI pobje\u0111uje esporta\u0161e, donosi nove mogu\u0107nosti starim tehnologijama i crta ma\u010dke prema va\u0161im skicama. No, o tome da se strojna inteligencija tako\u0111er brine o okoli\u0161u, govori se rje\u0111e. Cloud4Y odlu\u010dio je ispraviti tu propust.<\/p>\n<p>Razgovarajmo o najzanimljivijim projektima koji se provode u Africi.<\/i><noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h4>DeepMind prati stada Serengetija.<\/h4>\n<p>\n<img decoding=\"async\" alt=\"AI poma\u017ee u prou\u010davanju \u017eivotinja Afrike\" src=\"\/wp-content\/uploads\/2019\/08\/88f215edfe1e62e14170b4c784462b42.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nPosljednjih 10 godina biologe, ekologe i dobrovoljne za\u0161titnike prirodnih resursa unutar programa Serengeti Lion Research prikupljaju i analiziraju podatke sa stotina terenskih kamera smje\u0161tenih u Nacionalnom parku Serengeti (Tanzanija). To je neophodno za prou\u010davanje pona\u0161anja nekih vrsta \u017eivotinja \u010dijem postojanju prijeti opasnost. Da bi obradili informacije, prou\u010davaju\u0107i demografiju, kretanja i druge oznake aktivnosti \u017eivotinja, volonteri su tro\u0161ili cijelu godinu. AI DeepMind ve\u0107 sada obavlja taj posao unutar 9 mjeseci.<\/p>\n<p>DeepMind je britanska kompanija koja razvija tehnologije umjetne inteligencije. Godine 2014. je kupljena od strane Alphabet. Koriste\u0107i skup podataka<noindex><a rel=\"nofollow\" href=\"https:\/\/www.nature.com\/articles\/sdata201526\"> Snapshot Serengeti<\/a><\/noindex> za treniranje modela umjetne inteligencije, znanstvena grupa postigla je izvrsne rezultate: <noindex><a rel=\"nofollow\" href=\"https:\/\/www.deepmind.com\/blog\/article\/using-machine-learning-to-accelerate-ecological-research\">AI DeepMind<\/a><\/noindex> mo\u017ee automatski otkrivati, identificirati i brojati afri\u010dke \u017eivotinje na snimcima, obavljaju\u0107i svoj posao 3 mjeseca br\u017ee. Za\u0161to je to va\u017eno, obja\u0161njavaju zaposlenici DeepMind:<\/p>\n<blockquote><p>\u00abSerengeti je jedno od posljednjih preostalih mjesta na svijetu gdje se nalazi netaknuta zajednica velikih sisavaca\u2026 Kako ljudska invazija oko parka postaje intenzivnija, ove vrste prisiljene su promijeniti svoje pona\u0161anje kako bi pre\u017eivjele. Rastu\u0107a poljoprivreda, krivolov i klimatske anomalije doprinose promjenama u pona\u0161anju \u017eivotinja i dinamici populacije, ali se te promjene doga\u0111aju u prostornim i vremenskim razmjerima koje je te\u0161ko kontrolirati tradicionalnim istra\u017eiva\u010dkim metodama.\u00bb<\/p><\/blockquote>\n<p> Za\u0161to umjetna inteligencija djeluje u\u010dinkovitije od biolo\u0161ke? Ima nekoliko razloga.<\/p>\n<ul>\n<li><b>Uklju\u010duje se vi\u0161e fotografija.<\/b>. Od trenutka postavljanja terenskih kamera snimljeno je nekoliko stotina milijuna slika. Nisu sve lako prepoznatljive, stoga volonterima preostaje ru\u010dno identificirati vrste koriste\u0107i web alat zvani Zooniverse. U bazi trenutno postoji 50 razli\u010ditih vrsta, no obrada podataka traje predugo. Kao rezultat toga, ne koriste se sve fotografije u radu.<\/li>\n<li><b>Brzo prepoznavanje vrsta<\/b>. Tvrtka tvrdi da njihov prethodno obu\u010deni sustav, koji \u0107e uskoro biti implementiran u terenskim uvjetima, mo\u017ee raditi usporedivo (ili \u010dak bolje) s ljudskim anotaorima, pamte\u0107i i prepoznaju\u0107i vi\u0161e od stotinu vrsta \u017eivotinja koje obitavaju u tom podru\u010dju.<\/li>\n<li><b>Jeftina oprema<\/b>. AI DeepMind mo\u017ee u\u010dinkovito raditi na \"skromnoj\" opremi s nepouzdanom internetskom povezano\u0161\u0107u, \u0161to je posebno va\u017eno za afri\u010dki kontinent, gdje sna\u017ena ra\u010dunala i brzi pristup internetu mogu biti \u0161tetni za prirodu i preskupi za implementaciju. Biolo\u0161ka sigurnost i u\u0161teda sredstava su va\u017ene prednosti AI za ekolo\u0161ke aktiviste.<\/li>\n<\/ul>\n<p>\n<img decoding=\"async\" alt=\"AI poma\u017ee u prou\u010davanju \u017eivotinja Afrike\" src=\"\/wp-content\/uploads\/2019\/08\/77260f0edb0af627c89794fe86a9c551.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nO\u010dekuje se da \u0107e sustav strojno u\u010denja DeepMind mo\u0107i ne samo detaljno pratiti pona\u0161anje i distribuciju populacije, ve\u0107 i dovoljno brzo pru\u017eati podatke kako bi za\u0161titnici okoli\u0161a mogli na vrijeme reagirati na kratkoro\u010dne promjene u pona\u0161anju \u017eivotinja Serengetija.<\/p>\n<h4>Microsoft prati slonove<\/h4>\n<p>\n<img decoding=\"async\" alt=\"AI poma\u017ee u prou\u010davanju \u017eivotinja Afrike\" src=\"\/wp-content\/uploads\/2019\/08\/c6d1e9ad1ff62951ab137897a659d48d.png\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nZa pravdu, treba napomenuti da DeepMind nije jedina tvrtka koja se brine za o\u010duvanje krhkih populacija divljih \u017eivotinja. Microsoft se istaknuo u Santa Cruzu sa svojim startupom <noindex><a rel=\"nofollow\" href=\"http:\/\/conservationmetrics.com\/\">Conservation Metrics<\/a><\/noindex>, koji koristi AI kako bi pratio afri\u010dke slonove savane. <\/p>\n<p>Startup unutar projekta Elephant Listening Project u suradnji s laboratorijem Cornell University razvio je sustav sposoban prikupljati i analizirati podatke s akusti\u010dnih senzora raspore\u0111enih po cijelom Nacionalnom parku Nouabal\u00e9-Ndoki i okolnim \u0161umskim podru\u010djima u Republici Kongo. Umjetna inteligencija prepoznaje na snimkama glasove slonova \u2014 niskofrekventne tutnjave koje koriste za me\u0111usobnu komunikaciju, te dobiva informacije o brojnosti \u010dopora i smjeru njegovog kretanja. Prema rije\u010dima izvr\u0161nog direktora Conservation Metricsa, Matthew McCowna, umjetna inteligencija mo\u017ee precizno identificirati pojedina\u010dne \u017eivotinje koje nije mogu\u0107e vidjeti iz zraka. <\/p>\n<p>Zanimljivo je da je zahvaljuju\u0107i ovom projektu razvijen algoritam strojnog u\u010denja, obu\u010davan na Snapshot Serengeti, koji mo\u017ee identificirati, opisivati i brojati <noindex><a rel=\"nofollow\" href=\"https:\/\/www.pnas.org\/content\/115\/25\/E5716\">divlje \u017eivotinje<\/a><\/noindex> s to\u010dno\u0161\u0107u od 96,6%.<\/p>\n<h4>TrailGuard Resolve upozorava na krivolovce<\/h4>\n<p>\n<center><div class=\"youtube-placeholder\" data-id=\"yYY0Jg0qGH0\" onclick=\"loadVideo(this)\">\r\n        <img decoding=\"async\" src=\"https:\/\/img.youtube.com\/vi\/yYY0Jg0qGH0\/hqdefault.jpg\" alt=\"Pogledajte video\" loading=\"lazy\" width=\"480\" height=\"360\" style=\"width:100%;height:auto;\">\r\n        <div class=\"play-button\"><\/div>\r\n    <\/div><\/center><br \/>\nInteligentna kamera temeljena na Intelu koristi AI za za\u0161titu afri\u010dkih divljih \u017eivotinja koje su ugro\u017eene. Zna\u010dajka ovog sustava je ta \u0161to unaprijed upozorava na poku\u0161aje ilegalnog ubijanja \u017eivotinja. <\/p>\n<p>Kamerama postavljenim unutar parka upravlja Intelov procesor ra\u010dunalnog vida (Movidius Myriad 2), koji mo\u017ee u stvarnom vremenu otkriti \u017eivotinje, ljude i vozila, \u010dime omogu\u0107uje \u010duvarima parka da uhvate krivolovce prije nego \u0161to naprave \u0161tetu.<\/p>\n<p>Nova tehnologija koju je osmislila Resolve obe\u0107ava biti u\u010dinkovitija u odnosu na tradicionalne senzore. Kamere za borbu protiv krivolova \u0161alju upozorenja svaki put kada otkriju pokret, \u0161to dovodi do brojnih la\u017enih alarma i ograni\u010dava \u017eivotni vijek baterije na \u010detiri tjedna. Kamera TrailGuard koristi pokret samo za bu\u0111enje kamere i \u0161alje upozorenja tek kad u kadru vidi ljude. To zna\u010di da \u0107e la\u017enih alarma biti znatno manje. <\/p>\n<p>Osim toga, kamera Resolve gotovo da ne tro\u0161i energiju u stanju pripravnosti i mo\u017ee raditi i do godinu i pol dana bez punjenja. Drugim rije\u010dima, osoblje na terenu ne\u0107e morati riskirati svoju sigurnost tako \u010desto kao prije. Sama kamera je veli\u010dine olovke, \u0161to smanjuje vjerojatnost da \u0107e je krivolovci primijetiti.<\/p>\n<p><b>\u0160to jo\u0161 korisnog mo\u017eete pro\u010ditati na blogu <noindex><a rel=\"nofollow\" href=\"https:\/\/www.cloud4y.ru\/?utm_source=habr&amp;utm_medium=referral&amp;utm_campaign=article\">Cloud4Y<\/a><\/noindex><\/b><\/p>\n<p>\u2192 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/post\/460627\/\">vGPU \u2014 nemojte ignorirati kori\u0161tenje<\/a><\/noindex><br \/>\n\u2192 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/cloud4y\/blog\/461697\/\">Pivski intelekt \u2014 AI osmi\u0161ljava pivo<\/a><\/noindex><br \/>\n\u2192 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/post\/461713\/\">4 na\u010dina za u\u0161tedu na oblak backupima<\/a><\/noindex><br \/>\n\u2192 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/post\/462151\/\">5 najboljih distribucija Kubernetes-a<\/a><\/noindex><br \/>\n\u2192 <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/post\/460129\/\">Roboti i jagode: kako AI pove\u0107ava prinos na poljima<\/a><\/noindex><\/p>\n<p>Pretplatite se na na\u0161 <noindex><a rel=\"nofollow\" href=\"https:\/\/t.me\/cloud4y\">Telegram<\/a><\/noindex>-kanal, kako ne biste propustili novi \u010dlanak! Pi\u0161emo najvi\u0161e dva puta tjedno i samo po potrebi.<br \/>\n<br \/>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/cloud4y\/blog\/464155\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0418\u0437 \u043b\u044e\u0431\u043e\u0433\u043e \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u0447\u0430\u0439\u043d\u0438\u043a\u0430, \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0451\u043d\u043d\u043e\u0433\u043e \u043a \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0443, \u043c\u043e\u0436\u043d\u043e \u0443\u0441\u043b\u044b\u0448\u0430\u0442\u044c \u043f\u0440\u043e \u0442\u043e, \u043a\u0430\u043a \u0418\u0418 \u0432\u044b\u0438\u0433\u0440\u044b\u0432\u0430\u0435\u0442 \u0443 \u043a\u0438\u0431\u0435\u0440\u0441\u043f\u043e\u0440\u0442\u0441\u043c\u0435\u043d\u043e\u0432, \u0434\u0430\u0440\u0438\u0442 \u043d\u043e\u0432\u044b\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0441\u0442\u0430\u0440\u044b\u043c \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u044f\u043c \u0438 \u0440\u0438\u0441\u0443\u0435\u0442 \u043a\u043e\u0442\u0438\u043a\u043e\u0432 \u043f\u043e \u0432\u0430\u0448\u0435\u043c\u0443 \u043d\u0430\u0431\u0440\u043e\u0441\u043a\u0443. \u0410 \u0432\u043e\u0442 \u043e \u0442\u043e\u043c, \u0447\u0442\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u044b\u0439 \u0440\u0430\u0437\u0443\u043c \u0443\u0441\u043f\u0435\u0432\u0430\u0435\u0442 \u0435\u0449\u0451 \u0438 \u0437\u0430\u0431\u043e\u0442\u0438\u0442\u044c\u0441\u044f \u043e\u0431 \u043e\u043a\u0440\u0443\u0436\u0430\u044e\u0449\u0435\u0439 \u0441\u0440\u0435\u0434\u0435, \u0433\u043e\u0432\u043e\u0440\u044f\u0442 \u0440\u0435\u0436\u0435. Cloud4Y \u0440\u0435\u0448\u0438\u043b \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u044d\u0442\u043e \u0443\u043f\u0443\u0449\u0435\u043d\u0438\u0435. \u041f\u043e\u0433\u043e\u0432\u043e\u0440\u0438\u043c \u043e \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u0445 \u043f\u0440\u043e\u0435\u043a\u0442\u0430\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u044e\u0442\u0441\u044f \u0432 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":27944,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-37258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta 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