Kwenzekeni
I-Rice University yethule iziqu ze-Master of Artificial Intelligence (MAI) ezizovulela izicelo kule nkwindla futhi ziqale amakilasi ngonyaka wezifundo olandelayo.
I-George R. Brown School of Engineering and Computing yase-Rice University yamemezela uhlelo olusha lwe-Master of Artificial Intelligence (MAI), okulindeleke ukuthi luqale ekwindla yonyaka wezifundo ozayo. Idigri yobungcweti yamahora angu-30, engeyona i-thesis izofakwa ngaphakathi koMnyango Wesayensi Yekhompyutha futhi yakhelwe abafundi abanesizinda sesayensi yekhompyutha kanye nonjiniyela abasebenzayo, ososayensi, nochwepheshe.
Ngokusho kokukhishwa kwezindaba zale nyuvesi, ikharikhulamu izohlanganisa izisekelo ze-AI futhi ifake phakathi ukufunda ngokufunda kuwo wonke ama-semesters amathathu, ifinyelele umvuthwandaba nge-internship edingekayo. Imiphumela eshiwo yalolu hlelo ibandakanya ukulungiselela abaphothule izindima ezinjengabakhi be-AI, abacwaningi be-AI abasetshenziswayo, kanye nonjiniyela bokufunda ngomshini.
Izikhulu zaseNyuvesi zagqamisa ukufaneleka kwamasu kwe-MAI ngaphakathi kohlelo “lokubalulekile” lukaRice, olugcizelela ukusetshenziswa kwe-AI okunomthwalo wemfanelo. UDean Luay Nakhleh kanye noSihlalo woMnyango uChris Jermaine bobabili bagcizelele isidingo sokuqeqeshwa okujulile kodwa okugxile ekusebenzeni njengoba izinhlelo ze-AI ziba yingxenye yezimboni ezihlukahlukene esifundeni sase-Houston.
Isimemezelo siphawula ukuthi uRice ngaphambilini wethula iBachelor of Science ku-AI ngo-2025, ebeka inkosi entsha njengokuqhubeka kwekharikhulamu ye-AI ekhulayo. Izinhlelo ezifanayo zikhona kwezinye izikhungo zaseTexas, ezihlanganisa i-Texas A&M, Baylor, University of Houston-Downtown, kanye ne-UT Austin.
Imininingwane yomthombo: houston.innovationmap.com ↗
Kungani kubalulekile
Lolu hlelo lunweba imfundo ye-AI yabaneziqu ngesikhathi lapho isidingo sezimboni sochwepheshe be-AI-savvy sikhula, sinikeza ikharikhulamu egxilile, ehambisana nemboni engalolonga ipayipi lethalente lesifunda emikhakheni efana nokunakekelwa kwezempilo, amandla, i-aerospace, kanye nezezimali. Ngokuhlanganisa i-internship edingekayo kanye namaphrojekthi asebenza ngezandla, idigri ihlose ukukhiqiza odokotela abangahumusha impumelelo yocwaningo ibe amasistimu omhlaba wangempela ngokuzibophezela.
Ukushoda kwethalente le-AI kuyibhodlela elaziwayo lezinkampani ezithumela izisombululo zokufunda ngomshini ezithuthukile. Ngokunikeza izingcweti ezikhethekile, ezigxile embonini, Ilayisi ingasiza ukugcwalisa lelo gebe endaweni, okungenzeka iqinise isikhundla se-Houston njengehabhu le-AI esafufusa.
Ukugcizelela kwalolu hlelo ku-internship edingekayo kudala ipayipi eliqondile phakathi kwezemfundo nezimboni, okuvumela abafundi ukuthi bathole ulwazi lwangempela lomhlaba ngenkathi kunikeza izinkampani ukufinyelela emathalenteni asafufusa. Le modeli ihambisana namathrendi abanzi abheke ekufundeni kolwazi kwezemfundo yezobuchwepheshe.
Ngenxa yokuthi idigri ayiyona i-thesis futhi igxile emsebenzini wobungcweti, ingase ihehe ochwepheshe abaphakathi nendawo abafuna ukuthuthukiswa kwamakhono ngokushesha, ngaleyo ndlela ikhulise izinga lamakhono labasebenzi besifunda ngaphandle kokudinga ukuzibophezela okugcwele kocwaningo.
I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela
Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.
Which component of an AI application is the machine-learning model itself?
Ongakubuka ngokulandelayo
Izinombolo zokubhalisa zesikhathi esizayo, imininingwane yokufunda neyokufunda, nokuthi ingxenye ye-internship ibambisana kanjani ne-Houston ekhulayo ye-AI ecosystem izokhombisa umthelela wohlelo embonini yasendaweni kanye nezindlela ezibanzi zabasebenzi be-AI.
Amanani okufunda, izinketho zosizo lwezezimali, nokutholakala kwemifundaze akukadalulwa; lezi zici zizothinta ukufinyeleleka kwechibi elibanzi lomfakisicelo.
Izinkampani ezithile kanye namaphrojekthi abandakanyekayo engxenyeni ye-internship ahlala engashiwongo; izimemezelo zesikhathi esizayo zingaveza ukuthi uhlelo luxhunywe ngokuqinile kangakanani emikhakheni ebalulekile ye-AI yase-Houston.
Izibalo zokubhalisa nokuhlukaniswa kwezibalo zabantu kuzobonisa ukuthi uhlelo luheha ngempumelelo yini abasanda kuthola iziqu kanye nezingcweti ezingochwepheshe, okuyimethrikhi eyinhloko yokufaneleka kwalo kwesikhathi eside.