I-MTSC7256 ihlala icwangciswa njengekhosi ephambili, yenqanaba lesidanga okanye isatifikethi sobuchwephesha, esijolise kubantu abathile kwi-STEM, ishishini, ukhathalelo lwempilo, kunye nemimandla yokwenza imigaqo-nkqubo. Ikharityhulamu yayo iphuhliswe ngokubambisana kunye neenkokheli zeshishini, iqinisekisa ukulungelelaniswa nezakhono ezifunwa kakhulu.
Ukuxabisa ixabiso leMTSC7256s, kufuneka siqale sijongane neenguqu zenyikima ezilungisa umhlaba wethu.:
Ngoku oomatshini benza imisebenzi eyayikade isenziwa ngabantu. Ingxelo kaMcKinsey ka-2023 iqikelele ukuba ukuya kuthi ga kwi-30% yemisebenzi yehlabathi jikelele inokuthi izenzekele ngo-2030. Imisebenzi ekungenweni kwedatha, inkonzo yabathengi, kunye nophando lwezomthetho luya lusingathwa yi-algorithms. Ngokuchaseneyo, iindima ezifunekayo ubuchule bomntu ezinjengophicotho lweenqobo ezisesikweni ze-AI, ulungelelwaniso lwerobhothi, kunye neqhinga lokuguqula idijithali zifunwa kakhulu.
Utshintsho lwemozulu lufuna inguqulelo engxamisekileyo. Iingcali zobunjineli, ucwangciso lwedolophu, kunye namandla kufuneka ngoku zidibanise uzinzo kuso sonke isigqibo. Umzekelo, i-Arhente yaMandla aVuselelekayo yaMazwe ngaMazwe (IRENA) iqikelela oko Izigidi ezingama-42 zemisebenzi yamandla acocekileyo iya kuvela ngo-2050.
Ubhubhani ukhawulezise umsebenzi okude, udala abasebenzi abangenamida. Ukugqama, iingcali kufuneka zibonise ulwazi lwedijithali , unxibelelwano lweenkcubeko ezahlukeneyo, kunye nokukwazi ukusebenzisana kwiindawo ezibonakalayo.
Ubugcisa obufana nokuqondwa kobuso kunye nokuhlelwa kofuzo kuphakamisa imibuzo enzulu yokuziphatha. Iinkokeli zidinga izikhokelo zokulungelelanisa ukusungula izinto ezintsha kunye noxanduva lokuphendula.
Kulo mxholo, i-MTSC7256 ivela njengendlela yokuphila yokuvala umsantsa phakathi kweesethi zezakhono eziphelelwe lixesha kunye namathuba angomso.
Yintoni eyenza iMTSC7256 igqame kwimarike yemfundo enabantu abaninzi? Nazi iimpawu zayo ezizodwa:
Ngokungafaniyo neenkqubo ze-siled, i-MTSC7256 idibanisa ubuchule bobugcisa kunye nezakhono ezithambileyo. Iimodyuli zinokubandakanya:
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Ukuziphatha kwe-AI
: Ukuyila ii-algorithms ezinqanda ukukhetha.
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Izicelo zeBlockchain
: Ngaphaya kwe-cryptocurrency, ukuhlola ukucaca kwekhonkco lokubonelela.
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Ukomelela kwengqondo
: Iindlela zokulawula ukugcwala kolwazi kunye nokudinwa kwesigqibo.
Iintetho zincediswa ngokulinganisa, i-hackathons, kunye neeprojekthi ze-capstone. Umzekelo, abafundi banokuyila iprotocol yokhuseleko lwe-cybersecurity yeshishini elintsonkothileyo lamazwe ngamazwe okanye iprototype yesixeko esizinzileyo sisebenzisa iinzwa ze-IoT.
Izinto zokufunda zihlaziywa rhoqo ngekota ngokusebenzisana neebhodi zeengcebiso ezibandakanya iinjineli zikaGoogle, abenzi bomgaqo-nkqubo we-WHO, kunye nabaphathi bakwaTesla. Oku kuqinisekisa ukuba abafundi bajongana nemingeni ekhoyo ngoku, efana nefuthe le-quantum computing kuguqulelo oluntsonkothileyo okanye indima ye-AI ekulungiseleleni ubhubhane.
I-MTSC7256 itsala iqela leengcali ezivela kumazwe angaphezu kwama-50. Intsebenziswano yoontanga kunye neenkqubo zokufundisa zikhuthaza intsebenziswano kwiinkcubeko ezahlukeneyo, ukubonisa amaqela ehlabathi lokwenyani.
Abaphumeleleyo bafumana ukufikelela kuthungelwano lwe-alumni, ii-webinars ezikhethekileyo, kunye namaxabiso athotyiweyo kwiimodyuli eziphambili. Le modeli yokufunda ngonaphakade iyavuma ukuba ubungqina bexesha elizayo luhambo oluqhubekayo.
Masicazulule indlela inkqubo ejongana ngayo neemegatrends ezine ezixoxiwe ngaphambili:
I-MTSC7256 igxininisa izakhono oomatshini abangenako ukuziphindaphinda:
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Ukucinga ngokugxekayo
: Ukuhlalutya iinkqubo ezinzima ukuchonga amathuba kunye nobungozi.
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Ukudala
: Ukuyila izisombululo ezidibanisa itekhnoloji kunye noyilo oluphakathi kwabantu.
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Intelligence Emotional
: Amaqela akhokelayo ngotshintsho kunye nokungaqiniseki.
Umzekelo, imodyuli yeNtsebenziswano yoBantu-AI ifundisa iingcali ukuba zidlulisele imisebenzi yerote kwi-AI ngelixa zijolise ekuthatheni izigqibo ngobuchule.
Ikhosi idibanisa uzinzo kuyo yonke imodyuli yobugcisa. Isazi sedatha sinokufunda ukwandisa iigridi zamandla usebenzisa ukufundwa komatshini, ngelixa umfundi wepolisi ephonononga iimodeli zamaxabiso ekhabhoni.
Ngezixhobo zentsebenziswano ebonakalayo kunye neeprojekthi zeqela, abafundi bafumana ukutyibilika ekulawuleni amaqela asasazwayo. Izihloko ziquka unxibelelwano lwe-asynchronous, i-digital trust-building, kunye nokulawulwa kweprojekthi ye-agile.
Izifundo ezinje ngehlazo le-Facebooks Cambridge Analytica okanye iingxoxo-mpikiswano zokuhlela imizila yemfuza ye-CRISPR zixhobisa abafundi ukuba bajongane neengxaki zokuziphatha. Iintetho zeeNdwendwe ezivela kubaxeleli kunye namagosa othotyelo zibonelela ngezimvo ezisebenzayo.
Ubungqina bempembelelo yeMTSC7256s bulele kwabo baphumeleleyo. Qwalasela le mizekelo:
U-Maria wabhalisa kwi-MTSC7256 esoyika ukuba i-automation iya kwenza ukuba izakhono zakhe zokubala ziphelelwe lixesha. Iinkqubo ze-AI zemodyuli zamkhokelela ekubeni aphuhlise isixhobo esiphicotha ukulunga kwe-algorithmic ekubolekeni ngemali. Namhlanje, usebenza kwifemu ephezulu ye-fintech, eqinisekisa ukuba iinkqubo zetyala eziqhutywa yi-AI zithobela imithetho echasene nocalucalulo.
URajesh, injineli evela eIndiya, wasebenzisa iMTSC7256s uzinzo kunye neemodyuli zebhloko ukuqalisa ukulandelela iikhredithi zekhabhoni kwileja yolawulo. Iqonga lakhe ngoku lisetyenziswa ziinkampani ezingama-20 + ukuhlangabezana neenjongo ze-ESG.
Ngexesha lobhubhane, uLena wasebenzisa uqeqesho lwakhe lwe-MTSC7256 kwiinkqubo zokucinga ukuyila isicwangciso sosasazo lwesitofu esibeka phambili ukulingana. Isakhelo sakhe samkelwa nguMbutho wezeMpilo weHlabathi.
Abagxeki bathi iinkqubo zokuphucula izakhono ezifana ne-MTSC7256 zinokungafikeleleki okanye zingenzeki. Masijongane nezi nkxalabo:
Isisombululo : I-MTSC7256 inikezela ngeemodyuli eziguquguqukayo, ezizihambelayo. Uninzi lwabafundi luyigqiba kwiinyanga ezingama-612, lunikezela iiyure ezingama-57 ngeveki.
Isisombululo : Ukufundiswa kwezifundo, intsebenziswano yabaqeshi, kunye nezivumelwano zokwabelana ngengeniso (ISAs) zenza inkqubo ifikeleleke. Abaphumeleleyo banika ingxelo yomndilili Ukunyuswa kwemivuzo ngama-25%. kwisithuba sonyaka, sithethelela utyalo-mali.
Isisombululo : I-loop yempendulo eqhutywa yi-AI ihlalutya iintsingiselo zemarike yomsebenzi kunye nohlaziyo lwekharityhulamu ngexesha langempela. Umzekelo, xa i-AI yokuvelisa yaqhushumba ngo-2023, i-MTSC7256 yongeza imodyuli yobunjineli obukhawulezileyo kunye nomthetho welungelo lokushicilela kwiiveki nje.
Isisombululo : Iiklasi ze-Virtual reality (VR) kunye namaqonga engcebiso anikwe amandla nge-AI enza intsebenziswano enzulu, nakubafundi abakude.
Ikamva lelabo balilungiselelayo. I-MTSC7256 ingaphezulu kwekhosi utyalo-mali olucwangcisiweyo kukufaneleka kwakho, ukuguquguquka, kunye nefuthe. Ngokudibanisa ubuchule bobugcisa nobunkokeli obusesikweni kunye nokwazisa kwehlabathi, ixhobisa iingcali ukuba zingasindi nje kuphela kodwa. phumelela ngenkulungwane yama-21.
NjengoAlvin Toffler, umbhali we Ukothuka Kwekamva , wake wathi, Abantu abangafundanga bale nkulungwane yama-21 abayi kuba ngabo bangakwaziyo ukufunda nokubhala, kodwa abo bangakwaziyo ukufunda, abangafundanga nabangakwaziyo ukufunda kwakhona. I-MTSC7256 ikunika amandla okwenza zontathu, iqinisekisa ukuba ulwazi lwakho luhlala luyimali yexabiso kwihlabathi elihlala litshintsha.
Bhalisa kwi-MTSC7256 namhlanje kwaye ujoyine uluntu lwehlabathi lwabaqambi ababumba ihlabathi langomso. Ikamva lakho liya kukubulela.
Ukusukela ngo-2019, dibana nawe ubucwebe busekwe eGuangzhou, China, isiseko semveliso yobucwebe. Siyishishini lenziwe ishishini lokudibanisa uyilo, imveliso kunye nentengiso.
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