Uhlolojikelele
I-AI isiza imikhumbi edobayo ukuthi ithole izinhlanzi ngendlela ephumelela kakhudlwana, inqamule izinhlanzi ezidotshwayo ezingasasebenzi, futhi ifakazele ukuthi ukubamba kwazo kusemthethweni futhi kuyaqhubeka. Kubalulekile ngoba ukudoba ngokweqile, izindleko zikaphethiloli, kanye nemithetho yokuqinisa imithetho yokudoba kwenza ukudoba okuhlakaniphile, nokungafihli lutho kube umehluko phakathi kwenzuzo nokuvalwa kwemboni yokudoba.
I-AI ku-Commercial Fishing Fleets isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama.
I-Deep Dive
Ukudoba ngenjongo yokuthengisa kunothile ngedatha kodwa ngokomlando akusho lutho. I-AI manje ifunda idatha yesathelayithi, izinga lokushisa lolwandle, amazinga e-chlorophyll, nezingodo zomlando zokubamba ukuze ibikezele ukuthi izinhlobo eziqondiwe kungenzeka zigxile kuphi, konga ukusesha okulambele uphethiloli. Asebhodini, amakhamera abona ngekhompyutha akuzinhlelo ze-Electronic Monitoring (EM) azikhomba ngokuzenzakalelayo futhi abale izinhlobo zezilwane njengoba ziza phezu kwesitimela, asekela imibhalo yokubamba eyayivame ukudinga abantu ababukele. I-Sonar ne-acoustic AI ihlukanisa izikole zezinhlanzi eziqondiwe nezinhlobo ezingahlosiwe, kunciphisa ukubanjwa okungaqondile. Ngasohlangothini lokuphoqelela, izinhlangano ezifana ne-Global Fishing Watch zisebenzisa ukufunda ngomshini kumasiginali okulandelela umkhumbi we-AIS ngesathelayithi ukuze zithole ukudoba okungekho emthethweni, okungabikwanga, nokungalawulwa (IUU)—imikhumbi ebonayo eba mnyama noma eziphatha sengathi idoba ezindaweni ezivikelekile. Ehlangene la mathuluzi aphushela ukudoba ekunembeni esikhundleni somzamo wonya.
I-Technical Insight
Amamodeli okuziphatha kwemikhumbi ahlukanisa amaphethini okunyakaza ukusuka kuma-pings okuma kwe-AIS: igiya lokusetha lelineni ende, i-trawler edonsayo, kanye nomkhumbi wezimpahla odlulayo ngamunye ushiya amasignesha ahlukile esivinini nokujika. I-ML ihlaba umkhosi okudidayo—njengomkhumbi ozulazula eduze komunye (okungenzeka ukuthutha olwandle) noma ikhubaze i-transponder yayo eduze kwendawo evikelekile yasolwandle. I-ID yezinhlobo ze-onboard incike kumamodeli ombono we-convolution aqeqeshwe ezithombeni zezinhlanzi ezinelebula, ukunyakaza okubambayo, amanzi, nokukhanya okuhlukahlukene kudeski.
Ukufundisa i-AI ku-Commerce Fishing Fleets
I-AI isiza imikhumbi edobayo ukuthi ithole izinhlanzi ngendlela ephumelela kakhudlwana, inqamule izinhlanzi ezidotshwayo ezingasasebenzi, futhi ifakazele ukuthi ukubamba kwazo kusemthethweni futhi kuyaqhubeka. Kubalulekile ngoba ukudoba ngokweqile, izindleko zikaphethiloli, kanye nemithetho yokuqinisa imithetho yokudoba kwenza ukudoba okuhlakaniphile, nokungafihli lutho kube umehluko phakathi kwenzuzo nokuvalwa kwemboni yokudoba. I-AI ku-Commercial Fishing Fleets isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kubumbe kakhulu ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI ku-Commercial Fishing Fleets 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 kuma-Commercial Fishing Fleets 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.
Ukuqaliswa Komhlaba Wangempela
I-Global Fishing Watch isebenzisa i-ML kumasiginali wesathelayithi ye-AIS ukuthola ukudoba okungekho emthethweni kanye nokuhanjiswa olwandle emhlabeni wonke.
Amakhamera e-Onboard Electronic Monitoring akhomba ngokuzenzakalelayo futhi abale izinhlobo zezilwane phezu kukajantshi ukuze abhale phansi okubanjwe ngaphandle komuntu obukele
Amamodeli aqagelayo wendawo ahlanganisa izinga lokushisa lolwandle kanye nedatha ye-chlorophyll ukukhomba izikebhe ekugxilweni okungenzeka kwe-tuna noma isadini.
I-Acoustic/sonar AI isiza okaputeni bahlukanise izikole okuqondiwe kuzo nezinhlobo zezinhlanzi ezidotshwayo ngaphambi kokusetha amanethi
Amaphethini Okusebenzisa
I-AI ku-Commercial Fishing Fleets iyasebenza
I-Global Fishing Watch isebenzisa i-ML kumasiginali wesathelayithi ye-AIS ukuthola ukudoba okungekho emthethweni okungenzeka kube khona kanye nokuhanjiswa olwandle emhlabeni wonke.
I-Global Fishing Watch isebenzisa i-ML kumasiginali wesathelayithi ye-AIS ukuze ithole ukudoba okungekho emthethweni kanye nokuhanjiswa olwandle olwandle emhlabeni wonke Amathimba avame ukuthola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Commercial Fishing Fleets iyasebenza
Amakhamera e-Onboard Electronic Monitoring akhomba ngokuzenzakalelayo futhi abale izinhlobo zezilwane phezu kukaloliwe ukuze abhale phansi okubanjwe ngaphandle komuntu obukele.
Amakhamera e-Onboard Electronic Monitoring akhomba ngokuzenzakalelayo futhi abale izinhlobo zezilwane phezu kukajantshi ukuze abhale izinhlanzi ezibanjwe ngaphandle kwesibukeli esingumuntu Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Commercial Fishing Fleets iyasebenza
Amamodeli ezindawo eziqagelayo ahlanganisa izinga lokushisa lolwandle kanye nedatha ye-chlorophyll ukukhomba izikebhe ekugxilweni okungenzeka kwe-tuna noma isadini.
Amamodeli ezindawo eziqagelayo ahlanganisa izinga lokushisa lolwandle kanye nedatha ye-chlorophyll ukukhomba izikebhe ekugxilweni kwe-tuna okungenzeka ukuthi kune-sardine noma isadini Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga lekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yezimo ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.
I-AI ku-Commercial Fishing Fleets iyasebenza
I-Acoustic/sonar AI isiza okaputeni bahlukanise izikole okuqondiwe kuzo nezinhlobo zezinhlanzi ezidotshwayo ngaphambi kokusetha amanethi.
I-Acoustic/sonar AI isiza okaputeni bahlukanise izikole okuqondiwe kuzo ezinhlotsheni zezinhlanzi ezidotshwayo ngaphambi kokusetha amanethi Amaqembu ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi 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.