Ukufundwa koomatshini kuphuhliso lweselula: amathemba kunye nokwabela amagunya

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Ukufundwa koomatshini kuphuhliso lweselula: amathemba kunye nokwabela amagunya

Iingcali zophuhliso lweselula ziya kuxhamla kwiinguqu eziguqukayo namhlanje. ukufunda koomatshini kwizixhobo. Ingongoma kukuba le teknoloji iphucula kangakanani nasiphi na isicelo seselfowuni, oko kukuthi, ibonelela ngenqanaba elitsha loncedo kubasebenzisi kwaye ikuvumela ukuba usebenzise ngokusebenzayo iimpawu ezinamandla, umzekelo, ukubonelela ngezona ngcebiso zichanekileyo, ngokusekelwe kwi-geolocation, okanye ngoko nangoko izifo zezityalo.

Olu phuhliso lukhawulezayo lokufunda koomatshini ophathwayo luyimpendulo kwinani leengxaki eziqhelekileyo esiye sahlupheka kuzo ekufundeni komatshini weklasikhi. Enyanisweni, yonke into icacile. Kwixesha elizayo, izicelo zeselfowuni ziya kufuna ukucutshungulwa kwedatha ngokukhawuleza kunye nokwehliswa okuqhubekayo kwe-latency.

Usenokuba sele uzibuza ukuba kutheni Usetyenziso lweselula olunamandla e-AI,ayinakuqhuba intsingiselo efini. Okokuqala, itekhnoloji yamafu ixhomekeke kwiinode eziphambili (cinga iziko ledatha enkulu kunye nokugcinwa kwedatha enkulu kunye namandla amakhulu ekhompyuter). Le ndlela ibekwe kwindawo esembindini ayinakukwazi ukusingatha isantya esaneleyo sokwenza amava eselula aqhutywa kukufunda koomatshini. Idatha kufuneka iqhutywe kwindawo enye kwaye emva koko ibuyiselwe kwizixhobo. Le ndlela idinga ixesha, imali kwaye ayiqinisekisi ubumfihlo bedatha ngokwayo.

Ke, emva kokuchaza ezi zibonelelo ziphambili zokufunda koomatshini ophathwayo, masijonge ngakumbi ukuba kutheni inguqu yokufunda koomatshini isenzeka phambi kokuba amehlo ethu abe nomdla kuwe njengomphuhlisi weselula.

Nciphisa ukubambezeleka

Abaphuhlisi be-app yeselula bayazi ukuba i-latency eyandisiweyo inokuba luphawu olumnyama lweprogram, kungakhathaliseki ukuba zilungile kangakanani iimpawu zayo okanye ukuba i-brand idume kangakanani. Ngaphambili, kwizixhobo ze-Android kwakukho I-lag enzulu kwizicelo ezininzi zevidiyo, ngenxa yokuba ukujongwa kwevidiyo kunye nesandi kuye kwajika kungangqinelani. Ngokufanayo, umxhasi wemidiya yoluntu ene-latency ephezulu inokwenza unxibelelwano lube yintuthumbo yokwenyani kumsebenzisi.

Ukuphumeza ukufundwa koomatshini kwisixhobo kuya kuya kubaluleke ngakumbi ngokuchanekileyo ngenxa yemicimbi yokulinda efana nale. Khawucinge ukuba izihluzi zemifanekiso zisebenza njani kwiintanethi zentlalo, okanye iingcebiso zokutyela ezisekelwe kwi-geolocation. Kwizicelo ezinjalo, i-latency kufuneka ibe yincinci ukuze isebenze kwinqanaba eliphezulu.

Njengoko kukhankanyiwe ngasentla, ukusetyenzwa kwamafu ngamanye amaxesha kunokucotha, kwaye umphuhlisi ufuna ukuba latency isondele ku-zero kubuchule bokufunda komatshini weapp ephathwayo ukusebenza ngokufanelekileyo. Ukufunda ngoomatshini kwizixhobo kuvula amandla okulungisa idatha anokunciphisa ngokwenene ixesha lokulinda ukuya kuthi ga kwiqanda.

Abavelisi bee-smartphone kunye nezikhulu zentengiso yetekhnoloji ngokuthe ngcembe baqala ukuyiqonda le nto. Ixesha elide, i-Apple yahlala iyinkokeli kweli shishini, iphuhlisa iitshiphusi ezingaphezulu nangaphezulu ii-smartphones zisebenzisa inkqubo yayo ye-Bionic, esebenzisa i-Neural Injini, enceda ukuqhuba uthungelwano lwe-neural ngqo kwisixhobo, ngelixa ufezekisa. Izantya ezimangalisayo.

I-Apple iyaqhubeka nokuphuhlisa i-Core ML, iqonga layo lokufunda ngomatshini kwii-apps zeselula, inyathelo ngesinyathelo; kwithala leencwadi I-TensorFlow Lite inkxaso eyongeziweyo yeeGPUs; UGoogle uyaqhubeka nokongeza izinto ezilayishwe kwangaphambili kwiqonga lokufunda ngomatshini iML Kit. Ukusebenzisa obu buchwepheshe, unokuphuhlisa izicelo ezikuvumela ukuba usebenze idatha ngesantya sombane, uphelise nakuphi ukulibaziseka kwaye unciphise inani leempazamo.

Oku kudityaniswa kokuchaneka kunye namava omsebenzisi angenamthungo yimetric ephambili ekufuneka abaphuhlisi beapp yeselula bayiqwalasele xa besazisa isakhono sokufunda koomatshini kwiiapps zabo. Kwaye ukuqinisekisa ukusebenza okunjalo, kuyafuneka thatha ukufunda koomatshini kwizixhobo.

Ukuphuculwa kokhuseleko kunye nobumfihlo

Olunye uncedo olukhulu lwe-edge computing olungenakugqithiswa kukuba luphucula kangakanani ukhuseleko lomsebenzisi kunye nobumfihlo. Ukuqinisekisa ukhuseleko kunye nobumfihlo bedatha kwisicelo yinxalenye ebalulekileyo yemisebenzi yomphuhlisi, ngokukodwa kuthathelwa ingqalelo imfuneko yokuthobela i-GDPR (uMthetho woKhuseleko lweDatha Jikelele), imithetho emitsha yaseYurophu, eya kuchaphazela ngokungathandabuzekiyo umsebenzi wophuhliso lweselula. .

Ngenxa yokuba idatha ayifuni ukuthunyelwa phezulu okanye kwifu ukuze iqhutywe, abaxhamli be-cybercriminals abakwazi ukuxhaphaza nayiphi na into enobungozi eyenziwe ngexesha lesigaba sokudlulisa; ngoko ke, ukuthembeka kwedatha kugcinwa. Oku kwenza kube lula kubaphuhlisi be-app yeselula ukuthobela imimiselo yokhuseleko lwedatha ye-GDPR.

Ukufunda ngoomatshini kwizixhobo kukwavumela ukunatyiswa, kuninzi ngendlela efanayo ne-blockchain. Ngamanye amazwi, kunzima kakhulu kubaduni ukuba baqalise ukuhlaselwa kwe-DDoS kwinethiwekhi edibeneyo yezixhobo ezifihliweyo kunokuba baqhube ukuhlaselwa okufanayo kumncedisi ophakathi. Le teknoloji inokuba luncedo xa usebenza ngeedrones kunye nokubeka esweni ukuthotyelwa kwemithetho.

Iichips ze-smartphone ezikhankanywe ngasentla ezivela kwi-Apple zikwanceda ukuphucula ukhuseleko lomsebenzisi kunye nobumfihlo-umzekelo, banokusebenza njengesiseko se-ID yoBuso. Eli nqaku le-iPhone linikwe amandla yinethiwekhi ye-neural ebekwe kwizixhobo eziqokelela idatha kuzo zonke imiboniso eyahlukeneyo yobuso bomsebenzisi. Ke, itekhnoloji isebenza njengendlela yokuchonga echaneke kakhulu kwaye inokuthenjwa.

Ezi kunye nezixhobo ezintsha ze-AI ezinikwe amandla ziya kuvula indlela yonxibelelwano olukhuselekileyo lomsebenzisi-smartphone. Ngapha koko, abaphuhlisi bafumana umaleko owongezelelweyo wofihlo ukukhusela idatha yomsebenzisi.

Akukho nxibelelwano lwe-intanethi olufunekayo

Imiba yeLatency ecaleni, ukuthumela idatha kwilifu ukuze kuqwalaselwe kunye nokwenza izigqibo kufuna uqhagamshelo lwe-intanethi olulungileyo. Ngokufuthi, ngakumbi kumazwe ahambele phambili, akukho mfuneko yakukhalaza nge-Internet. Kodwa yintoni enokuyenza kwiindawo apho uxhulumaniso lubi kakhulu? Xa ukufundwa koomatshini kuphunyezwa kwizixhobo, iinethiwekhi ze-neural zihlala kwiifowuni ngokwazo. Ngaloo ndlela, umphuhlisi unokusebenzisa iteknoloji kuso nasiphi na isixhobo naphi na, kungakhathaliseki ukuba umgangatho woqhagamshelwano. Ukongeza, le ndlela ikhokelela ekubeni ukwenza idemokhrasi izakhono zeML.

Ukhathalelo lwempilo lelinye lamashishini anokuzuza ngakumbi ekufundeni koomatshini, njengoko abaphuhlisi baya kukwazi ukwenza izixhobo ezijonga iimpawu ezibalulekileyo okanye babonelele ngoqhaqho lwerobhothi ngaphandle koqhagamshelo lwe-intanethi. Le teknoloji iya kuba luncedo kubafundi abafuna ukufikelela kwizixhobo zokufunda ngaphandle koqhagamshelo lwe-Intanethi - umzekelo, ngelixa bekwitonela yezothutho.

Ekugqibeleni, ukufundwa komatshini kwizixhobo kuya kubonelela abaphuhlisi ngezixhobo zokwenza izixhobo eziza kunceda abasebenzisi emhlabeni jikelele, kungakhathaliseki ukuba imeko yabo ye-Intanethi injani. Ukuqwalasela ukuba amandla ama-smartphones amatsha aya kuba namandla njengangoku, abasebenzisi baya kulibala malunga neengxaki zokulibaziseka xa besebenza kunye nesicelo ngaphandle kwe-intanethi.

Ukunciphisa iindleko zeshishini lakho

Ukufunda ngoomatshini kwizixhobo nako kunokukongela intywenka yemali ngokungahlawuli iikontraka zangaphandle ukuze ziphumeze kwaye zigcine izisombululo ezininzi. Njengoko kukhankanyiwe ngasentla, kwiimeko ezininzi unokwenza ngaphandle kokubini ilifu kunye ne-Intanethi.

I-GPU kunye ne-AI-specific cloud services zezona zisombululo ezibiza kakhulu ezinokuthengwa. Xa uqhuba iimodeli kwisixhobo sakho, akunyanzelekanga ukuba uhlawulele onke la maqela, enkosi kwinto yokuba namhlanje kukho ii-smartphones ezixhotyiswe kakhulu. i-neuromorphic processors (NPU).

Ngokunqanda iphupha elibi lokusetyenzwa kwedatha enzima eyenzekayo phakathi kwesixhobo kunye nelifu, wonga kakhulu; Ke ngoko, kunenzuzo enkulu ukuphumeza izisombululo zokufunda koomatshini kwizixhobo. Ukongeza, ugcina imali ngenxa yokuba iimfuno zebandwidth yesicelo sakho zincitshiswe kakhulu.

Iinjineli ngokwazo nazo zonga kakhulu kwinkqubo yophuhliso, kuba akufuneki ukuba zihlangane kwaye zigcine iziseko zophuhliso zamafu ezongezelelweyo. Ngokuchasene noko, kunokwenzeka ukufezekisa ngakumbi ngeqela elincinci. Ngaloo ndlela, ukucwangciswa kwabasebenzi kumaqela ophuhliso kusebenza ngakumbi.

isiphelo

Ngaphandle kwamathandabuzo, ngo-2010, ilifu laba yintsikelelo yokwenene, yenza lula ukusetyenzwa kwedatha. Kodwa iteknoloji ephakamileyo iphuhliswa ngokukhawuleza, kwaye ukufundwa koomatshini kwizixhobo kungekudala kunokuba ngumgangatho we-de facto kungekhona nje kwintsimi yophuhliso lweselula, kodwa nakwi-Intanethi yeZinto.

Ngokuncipha kwe-latency, ukhuseleko oluphuculweyo, amandla angaphandle kweintanethi, kunye neendleko eziphantsi zizonke, ayimangalisi into yokuba abadlali abakhulu kuphuhliso lweselula babheja kakhulu kwitekhnoloji. Abaphuhlisi bezicelo zeselfowuni kufuneka kwakhona bayijonge ngakumbi ukuze bahambisane namaxesha.

umthombo: www.habr.com

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