I-Intanethi yeWebhusayithi wenza ucwaningo kanye nentuthuko ku Intelligence yokufakelwa kanye nezinhlelo zokuthatha izinqumo: “ukufunda imishini, ukuhlaziya idatha, amasu okuthuthukisa, amasistimu ayinkimbinkimbi, nezindlela zase-Bayesia”.
I-Intanethi yeWebhusayithi inobuchwepheshe bezobuchwepheshe bomkhiqizo Intelligence yokufakelwa kanye nezinhlelo zokuthatha izinqumo: “ukufunda imishini, ukuhlaziya idatha, amasu okuthuthukisa, amasistimu ayinkimbinkimbi, nezindlela zase-Bayesia” ed I-Intanethi yeWebhusayithi unobuchwepheshe olwazini lwenqubo yebhizinisi ukwakha isoftware yangokwezifiso eyimodular kuyo Intelligence yokufakelwa kanye nezinhlelo zokuthatha izinqumo: “ukufunda imishini, ukuhlaziya idatha, amasu okuthuthukisa, amasistimu ayinkimbinkimbi, nezindlela zase-Bayesia”.
I-Intanethi yeWebhusayithi inamakhono omkhiqizo wobuchwepheshe kanye nesipiliyoni olwazini lwenqubo yebhizinisi ukuze kwakheke isoftware yangokwezifiso esebenza ngokwemodyuli Intelligence yokufakelwa kanye nezinhlelo zokuthatha izinqumo: “ukufunda imishini, ukuhlaziya idatha, amasu okuthuthukisa, amasistimu ayinkimbinkimbi, nezindlela zase-Bayesia”.
I-Intanethi yeWebhusayithi inobuchwepheshe bezobuchwepheshe bomkhiqizo Intelligence yokufakelwa kanye nezinhlelo zokuthatha izinqumo: “ukufunda imishini, ukuhlaziya idatha, amasu okuthuthukisa, amasistimu ayinkimbinkimbi, nezindlela zase-Bayesia” futhi idlulisela isiko lebhizinisi futhi ngaphezu kwakho konke ukuzizwela kokudluliselwa.
umlando weIntelligence yokufakelwa (AI) kanye Nezinhlelo Zezinqumo zinde futhi zihlangene. Nakhu okufingqiwe kwezikhathi ezibalulekile nobudlelwano bazo:
Izinyathelo Zokuqala (50s-60s)
- Ukuzalwa kwe-AI: Umqondo wemishini ehlakaniphile uhlehlela emuva kakhulu, kodwa igama elithi “Intelligence yokufakelwa” iqanjwe ku-Dartmouth Summer Research Project on Ukuhlakanipha okungekhona okwangempela ku-1956.
- Izindlela zokuqala ezingokomfanekiso: Amasistimu okuqala asekelwe emithethweni engaguquki nokucubungula okungokomfanekiso azalwa, okuhloswe ngawo ukuphindaphinda izinqubo zokucabanga komuntu.
70s and early 80s: Izikhathi zentshiseko nokuma "AI Winters"
- Amasistimu Ochwepheshe: Amasistimu ochwepheshe athuthukiselwa izinkambu ezithile ezinomkhawulo (isb. ukuxilongwa kwezokwelapha), okubonisa ukuthi imishini ingakwazi ukucabangela kusisekelo solwazi.
- Imikhawulo yamasu angokomfanekiso: Imikhawulo yokunwebeka nokuzivumelanisa nezimo yezindlela ezinengqondo nezisekelwe emithethweni inciphisa umdlandla wocwaningo oluthile lwe-AI.
Ukuphindukuzalwa sibonga ukufunda imishini kanye namasistimu asekelwe idatha (80 - ekuqaleni kwawo-2000)
- Ama-algorithms wokufunda ngomshini: Ucwaningo lwamanethiwekhi e-neural okwenziwa, imishini yokusekela i-vector, izihlahla zezinqumo zethula izindlela ezisekelwe idatha nakumamodeli okuqeqesha kusetshenziswa izibonelo.
- Khulisa phakathi amandla ukubala: Ihadiwe entsha yenza kube lula ukusebenzisa ama-algorithms ayinkimbinkimbi.
- Ama-Hybrid Systems: I-AI kanye Nezinhlelo Zezinqumo seziqala ukuhlanganisa, ngama-algorithms okufunda imithetho yezinqumo kanye nokwenza kahle ezimeni zebhizinisi.
Ukuqhuma kwe-AI yesimanje (2010s - yamanje)
- Ukufunda Okujulile: Amanethiwekhi e-neural ajulile (amazinga amaningi) aphazamisa izinkambu ezifana nombono wekhompyutha, ukuqonda kolimi lwemvelo nokunye okuningi.
- Inani elikhulu idatha: Ukutholakala kwamasethi we idatha yosayizi ongenakuqhathaniswa, okuvumela ukuthi uqeqeshe ama-algorithms alambele isibonelo.
- Amasistimu Wezinqumo aqhutshwa yi-AI: I-AI iba ukhiye ezinqubweni zokuzenzakalela zokuthatha izinqumo ngokunemba okungakaze kubonwe kanye nokwanda, ngokwesibonelo ekuhloleni ubungozi besikweletu, ukuhlonzwa kwezempilo, nezeluleko zokwenza kube ngokwakho emkhakheni wezohwebo.
Amathrendi nezinselele
- Ukutolika: Inkinga esemqoka imayelana nokwenza izinqumo ezenziwa amasistimu e-AI zichazeke futhi zingachemi, kwehliswe ukusetshenziswa kwazo “njengamabhokisi amnyama.”
- Izimiso zokuziphatha nokuzibophezela: Qinisekisa ukusetshenziswa kokuziphatha kwezinhlelo ezisekelwe ku-AI, unciphisa ukuchema kanye nomthelela ongaba khona wokubandlulula noma ongalungile.
- Ukusebenzisana Nomshini Womuntu: Amamodeli okwenza izinqumo asizakala ngamakhono ahlukene e-AI kanye nochwepheshe babantu banikeza amandla amakhulu, ikakhulukazi emikhakheni lapho ukuzwela kokuchazwa komuntu kubaluleke kakhulu (isb., umkhakha wezomthetho, izici ezithile zokunakekelwa kwezempilo).
isiphetho
Umlando we-AI kanye Nezinhlelo Zesinqumo wukuziphendukela kwemvelo okuqhubekayo. Kusukela emizamweni yokuqala kuya ekufundeni okujulile kwesimanje, imiphumela yocwaningo lwe-AI ihlinzeka ngamathuluzi amasha okuzenzakalela futhi asekele izinqubo zokwenza izinqumo emikhakheni ehluke kakhulu. Kodwa-ke, le nqubekelaphambili kufanele ihlolwe ngokuhambisana nokucatshangelwa kwezimiso zokuziphatha, ukuchazwa kwezinqumo kanye nokulinganisela okufanele ekusebenzisaneni phakathi komshini nochwepheshe babantu ngokusekelwe esizindeni sokusetshenziswa ngakunye.
Simunye i-web agency futhi eyodwa i-web agency yezokumaketha, sichaza okwakho I-Web Agency ngezinsizakalo zethu ezenzelwe ikhasimende ekugcineni, sisebenza njenge Isoftware House , Inkampani Yesoftware , Inkampani yokuthuthukisa isoftware, i-web agency yezokumaketha, i-web agency e i-web agency.
I-Intanethi yeWebhusayithi inikeza amasu ebhizinisi okuncintisana, ube umholi kubunikazi bedijithali benkampani yakho.
Sinikeza ikhwalithi ephezulu kakhulu kubo bonke bethu amakhasimende futhi bayeke ibhizinisi labo ledijithali liqale.
I-Intanethi yeWebhusayithi iyinjini yephrojekthi yakho yedijithali, ake sikhumule ubuwena bakho bedijithali. Sifuna ukuba umlingani wakho ekuvuseleleni kwedijithali yenkampani yakho.
Akusibo kuphela labo abasondelene nathi abasikhethayo.
Thola okuningi ku-Online Web Agency
Bhalisa ukuze uthole izindatshana zakamuva nge-imeyili.