I-Industries GUIDE

I-AI ekubikezelweni kwesimo sezulu

Uhlolojikelele

I-AI Ekubikezelweni Kwesimo Sezulu isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama.

I-Deep Dive

Iminyaka engu-70, ukubikezela isimo sezulu kwakusho ukuxazulula izilinganiso ze-fluid physics kumakhompyutha amakhulu amakhulu - inqubo ebizwa ngokuthi i-number weather prediction (NWP). I-AI iphenya le ndlela yokwenza: amamodeli afana ne-Google i-DeepMind's GraphCast, i-Huawei's Pangu-Weather, kanye ne-FourCastNet ye-NVIDIA aqeqeshwa kudathasethi yokuhlaziywa kabusha kwe-ERA5, cishe iminyaka engu-40 yesimo sezulu sezulu ngehora. Bafunda ubudlelwano bezibalo phakathi komkhathi wanamuhla nowakusasa, bese bebikezela ngokufanisa iphethini kunokulingisa i-physics. I-GraphCast ikhiqiza isibikezelo sezulu sezinsuku eziyi-10 ekulungisweni okungu-0.25-degree ngaphansi komzuzu ku-TPU eyodwa, uma kuqhathaniswa namahora eqoqo lekhompyutha enkulu. Ngo-2023, i-GraphCast yenza kahle kakhulu kunemodeli ye-ECMWF esezingeni legolide ezintweni eziningi eziguquguqukayo. I-European Center manje isinemodeli yayo yokusebenza ye-AI, i-AIFS.

I-Technical Insight

I-GraphCast imele imbulunga njengegrafu: i-multi-mesh yamanodi axhunywe esikalini esiningi, evumela ulwazi lusakaze kokubili endaweni kanye nakumabanga amade ngezinyathelo ezimbalwa. Inethiwekhi ye-neural yegrafu ingenisa isimo somkhathi samanje nesangaphambili, bese ibikezela isimo amahora angu-6 ngaphambili. Ukubikezela izinsuku eziyi-10, idla okukhiphayo emuva ngokuzenzakalelayo, izikhathi ezingama-40. Ukuqeqeshwa kuthuthukisa iphutha elinesisindo kuwo wonke amaleveli okucindezela nokuguquguqukayo njengezinga lokushisa, umoya, nomswakamo.

I-AI yobungcweti ekubikezelweni kwesimo sezulu

Amamodeli wesimo sezulu we-AI afunda amaphethini omkhathi ngokuqondile kusukela emashumini eminyaka okubuka okwedlule, akhiqiza izibikezelo zezinsuku eziyi-10 ngamasekhondi aqhudelanayo noma ahlula amamodeli ekhompuyutha eyi-physics asuselwa ku-physics athathe amahora ukusebenza. Lokhu kuhlela kabusha indlela izazi zezulu ezibikezela ngayo iziphepho, amagagasi okushisa, neziphepho. I-AI Ekubikezelweni Kwesimo Sezulu isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI Ekubikezelweni Kwesimo Sezulu njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-AI Ekubikezelweni Kwesimo Sezulu aqondisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.

Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.

I-Strategic Impact

Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.

Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.

Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.

Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ikusasa le-AI ekubikezelweni kwesimo sezulu

Ukubikezela kwe-AI kuyasuka ocwaningweni kuya emisebenzini yansuku zonke: I-ECMWF, i-UK Met Office, nezinye manje zisebenzisa amamodeli e-AI eceleni kwefiziksi. Imingcele elandelayo ihlanganisa ama-ensembles asuselwe ekusakazeni (i-GenCast) alinganisela ukungaqiniseki, amamodeli endawo esikali sekhilomitha, kanye 'namamodeli esisekelo' oMhlaba aphatha isimo sezulu, isimo sezulu, kanye nekhwalithi yomoya ndawonye. Amasistimu amaHybrid amatanisa isivinini se-AI nokwethembeka kwe-physics ekudluleleni okungavamile okungajwayelekile kungenzeka, njengoba amamodeli aqhutshwa idatha angakwazi ukubukela phansi izehlakalo ezingakaze zibonwe ngaphambili ezingekho kudatha yokuqeqeshwa.

Ukuqaliswa Komhlaba Wangempela

Google I-GraphCast ye-DeepMind ekhiqiza izibikezelo zomhlaba zezinsuku eziyi-10 ngaphansi kweminithi, esetshenziselwa ukumaka indlela yeziphepho kusasele izinsuku.

I-ECMWF isebenzisa imodeli yayo yokusebenza ye-AIFS ukuze igcwalise izibikezelo zayo ezingokwesiko ezisekelwe kwifiziksi yezinkonzo zesimo sezulu zaseYurophu.

I-FourCastNet ye-NVIDIA ikhiqiza ngokushesha ama-ensemble amakhulu ukulinganisa amathuba okuba nomsindo omkhulu nemicimbi yezulu

I-GenCast ikhiqiza izibikezelo zokuhlanganisa okungenzeka ezehlula i-ECMWF's ENS kumaphesenti angama-97 okuhlosiwe kwesimo sezulu esihloliwe, ukuthuthukisa ukuqondiswa komkhondo we-tropical cyclone

Amaphethini Okusebenzisa

I-AI ku-Weather Forecasting isebenza

Google I-GraphCast ye-DeepMind ekhiqiza izibikezelo zomhlaba zezinsuku ezingu-10 ngaphansi kweminithi, esetshenziselwa ukumaka indlela yeziphepho kusasele izinsuku.

Google I-GraphCast ye-DeepMind ekhiqiza izibikezelo zomhlaba jikelele zezinsuku eziyi-10 ngaphansi kweminithi, esetshenziselwa ukumaka indlela yeziphepho kusasele izinsuku Amaqembu ngokuvamile athola imiphumela engcono uma echaza ikhwalithi yezinga ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zesikhathi sokukhiqiza nokulandelela kokubili izinzuzo zokukhiqiza.

I-AI ku-Weather Forecasting isebenza

I-ECMWF isebenzisa imodeli yayo yokusebenza ye-AIFS ukuze ihambisane nezibikezelo zayo ezingokwesiko ezisekelwe kwifiziksi yezinsizakalo zesimo sezulu zaseYurophu.

I-ECMWF esebenzisa imodeli yayo yokusebenza ye-AIFS ukuze igcwalise izibikezelo zayo ezingokwesiko ezisekelwe kwifiziksi YamaQembu esevisi yesimo sezulu ase-Europe ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI ku-Weather Forecasting isebenza

I-FourCastNet ye-NVIDIA ikhiqiza ngokushesha ama-ensemble amakhulu ukuze ilinganisele amathuba okuba kube khona imicimbi yomoya enamandla nezimvula.

I-FourCastNet ye-NVIDIA ikhiqiza ngokushesha ama-ensemble amakhulu ukuze ilinganisele amathuba emicimbi yomoya kanye nezimvula ezinamandla Amaqembu ngokuvamile athola imiphumela engcono uma echaza ikhwalithi ephezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI ku-Weather Forecasting isebenza

I-GenCast ikhiqiza izibikezelo zokuhlanganisa okungenzeka ezihlula i-ECMWF's ENS kumaphesenti angama-97 okuhlosiwe kwesimo sezulu esihloliwe, ithuthukisa ukuqondiswa kwethrekhi yesishingishane sasezindaweni ezishisayo.

I-GenCast ikhiqiza izibikezelo ezihlangene ezihlanganisa i-ECMWF ezidlula i-ENS ye-ECMWF kumaphesenti angu-97 okuhlosiwe kwesimo sezulu esihloliwe, ukuthuthukisa ithrekhi ye-tropical cyclone Amaqembu ngokuvamile athola imiphumela engcono uma echaza imikhawulo yekhwalithi ngaphambili, agcina indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

Izingozi & Guardrails

Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.

Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.

Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.

Ukuqalisa Umhlahlandlela

Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.

Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.

Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.

Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.

Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qhubeka Uhlole

I-AI ku-Healthcare

Funda ukuthi ukuthunyelwa kwe-high stakes kubukeka kanjani ekusebenzeni.

Funda Umhlahlandlela

I-AI Kwezezimali

Hlola i-AI ebucayi engozini ezindaweni ezilawulwayo.

Funda Umhlahlandlela