opentext Ilimin Artificial Intelligence and Machine
Hankali na wucin gadi (AI) yana canza hanyar da muke hulɗa da injina da yadda injina ke hulɗa da mu. Wannan jagorar ta rushe yadda AI ke aiki, ƙarfi da iyakoki na nau'ikan koyan na'ura daban-daban, da juyin halitta na wannan fage na binciken da ke canzawa koyaushe. Hakanan yana binciko rawar AI da ke ba da damar nazarin tsaro ko mai amfani da ƙididdigar halayen mahalli (UEBA) don mafi kyawun kare masana'antu daga hadaddun barazanar tsaro ta intanet.
Inji vs Ilimin Dan Adam
Hankali na wucin gadi (AI) yana ko'ina - aƙalla, haka yake da alama A OpenText ™, haɓaka AI yana da ban sha'awa da ƙalubale Amma kamar yadda muka yi hulɗa da takwarorinmu, abokan cinikinmu, da abokan aikinmu, mun fahimci cewa Ba a koyaushe fahimtar ra'ayi na AI don fara wannan AI da Jagorar Koyon Injin 101, za mu buɗe wasan wuyar warwarewar AI ta hanyar amsa babbar tambayar da mutane da yawa ke tambaya: "Menene hankali na wucin gadi, da gaske?"
Hanya mafi sauƙi don fahimtar hankali na wucin gadi shine taswira shi zuwa wani abu da muka riga muka fahimta-hankalin namu Ta yaya ba na wucin gadi ba, hankalin ɗan adam yake aiki? A mafi mahimmanci matakin, hankalinmu yana bin ci gaba mai sauƙi: muna ɗaukar bayanai, muna sarrafa su, kuma a ƙarshe bayanin yana taimaka mana mu yi aiki.
Bari mu karkasa wannan zuwa tsarin zane A cikin wannan hoton da ke ƙasa, matakai guda uku na hankali na ɗan adam daga hagu zuwa dama: shigarwa, sarrafawa, da fitarwa A cikin kwakwalwar ɗan adam, shigarwa yana faruwa ta hanyar ganewa da fahimtar abubuwa Idanuwanka. hanci, kunnuwa, da dai sauransu, a dauki danyen shigarwa a hagu, kamar photons na haske ko kamshin bishiyar Pine, sannan a sarrafa shi A gefen dama na tsarin yana fitowa Wannan ya hada da magana da ayyuka, duka biyun sun dogara ne akan yadda ake yin su. muna aiwatar da danyen shigar da kwakwalwarmu ke karba Aikin yana faruwa ne a tsakiya, inda aka samu ilimi ko abubuwan tunawa da dawo da su, yanke shawara da ra'ayi da yankewa, kuma ilmantarwa yana faruwa.
Hoto 1. Hankalin dan Adam
Ta yaya ba na wucin gadi ba, basirar ɗan adam ke aiki? A mafi mahimmanci matakin, hankalin mu yana bin ci gaba mai sauƙi: muna ɗaukar bayanai, muna sarrafa su, kuma a ƙarshe bayanin yana taimaka mana mu yi aiki.
Hotunan tsayawa a mahadar titin Idanunku suna ganin cewa hasken ababan hawa a gabanku ya koma kore bisa ga abin da kuka koya daga gogewa (da ilimin tuki), kun san cewa hasken kore yana nuna cewa yakamata ku yi gaba Don haka, ku buga fedar iskar gas Hasken kore shine danyen shigarwar, saurin ku shine fitarwa; duk abin da ke tsakanin yana sarrafawa
Don kewaya duniyar da ke kewaye da mu cikin basira - amsa waya, gasa kukis ɗin cakulan cakulan, ko yin biyayya ga fitilun zirga-zirga - muna buƙatar aiwatar da shigar da muke karɓa Wannan shi ne tushen sarrafa bayanan ɗan adam, kuma a ƙarshe an rushe shi zuwa bangarori uku daban-daban. :
- Ilimi da ƙwaƙwalwa. Muna haɓaka ilimi yayin da muke tattara bayanai (watau Yaƙin Hastings ya faru a cikin 1066) da ƙa'idodin zamantakewa (watau cewa "Don Allah" da "Na gode" ana ɗaukar su da ladabi) Bugu da ƙari, ƙwaƙwalwar ajiya tana ba mu damar tunawa da amfani da bayanai daga abubuwan da suka gabata zuwa halin yanzu Don misaliample, Edward ya tuna cewa Jane ba ta gode masa don kyautar ranar haihuwarta ba, don haka ba ya tsammanin za ta gode masa lokacin da ya ba ta kyautar Kirsimeti.
- Yanke shawara da tunani. An yanke shawara da ra'ayi bisa tushen shigarwar da aka haɗe tare da ilimi da/ko ƙwaƙwalwar ajiya Don example, Edward ya ci barkono jalapeno a bara kuma bai ji daɗi ba Lokacin da Johnny ya ba da barkono ga Edward, ya yanke shawarar ba zai ci ba.
- Koyo. Mutane na iya koyo ta example, lura, ko algorithm A cikin koyo ta exampTo, an gaya mana cewa dabba ɗaya kare ne, ɗayan kuma cat A cikin koyo ta hanyar lura, mun gano da kanmu cewa karnuka suna yin haushi da cats meow Hanya na uku na koyo-algorithm- yana ba mu damar kammala aiki ta hanyar biyowa. jerin matakai ko takamaiman algorithm (misali, yin dogon rabo)
Waɗannan fasalolin basirar ɗan adam suna yin daidai da hankali na wucin gadi Kamar yadda muke ɗaukar bayanai, sarrafa su, da raba abubuwan da aka fitar, haka ma inji za mu iya duba wannan adadi na ƙasa don ganin yadda wannan taswirori ya fito.
Hoto 2. Hankali na wucin gadi
Don kewaya duniyar da ke kewaye da mu cikin basira - amsa waya, gasa kukis ɗin cakulan guntu, ko yin biyayya ga fitilun zirga-zirga - muna buƙatar aiwatar da shigarwar da muke karɓa.
A cikin injuna, ɓangaren shigar da hankali na wucin gadi ana misalta shi ta hanyar sarrafa harshe na halitta, fahimtar magana, fahimtar gani, da ƙari Kuna ganin irin waɗannan fasahohi da algorithms a ko'ina, daga motoci masu tuƙa da kansu waɗanda ke buƙatar fahimtar hanyoyin da cikas, zuwa Alexa ko Siri. Lokacin da ta gane maganarka Abubuwan da ke biyo baya sune hanyoyin da injina ke hulɗa da duniyar da ke kewaye da mu Wannan na iya ɗaukar nau'ikan robotics, tsarin kewayawa (don jagorantar waɗancan motocin masu tuƙi), ƙirar magana (misali, Siri), da sauransu. A tsakanin, muna da nau'ikan sarrafawa iri-iri da ke faruwa
Hakazalika da tarin iliminmu da abubuwan tunawa, injina na iya ƙirƙirar wakilcin ilimi (misali, jadawali bayanai, kantologies) waɗanda ke taimaka musu adana bayanai game da duniya Kamar yadda mutane suke yanke shawara ko zana abubuwan da suka dace, injina na iya yin tsinkaya, haɓaka ga manufa ko haɓakawa. sakamako, da kuma ƙayyade mafi kyawun matakai na gaba ko yanke shawara don cimma takamaiman manufa
A ƙarshe, kamar yadda muka koya ta hanyar example, lura, ko algorithm, ana iya koyar da injina ta amfani da hanyoyi masu kama da Kulawa da koyan injin yana kama da koyo ta tsohonample: ana ba kwamfutar ma’ajin bayanai mai “lakabi” a cikin saitin bayanan da ke aiki a matsayin amsoshi, kuma a ƙarshe za ta koyi bambancewa tsakanin tambari daban-daban (misali, wannan bayanan yana ɗauke da hotuna masu lakabi a matsayin ko dai “kare” ko “cat”, da kuma tare da isa exampDon haka, kwamfutar za ta lura cewa karnuka gabaɗaya suna da dogon wutsiya da ƙarancin kunnuwa fiye da kuliyoyi)
Koyon na'ura wanda ba a kula da shi ba, kamar koyo ne ta hanyar lura Kwamfuta tana lura da alamu (karnuka sun yi kuka da cats meow) kuma, ta wannan, ta koyi bambanta ƙungiyoyi da tsarin da kanta (misali, akwai ƙungiyoyi biyu na dabbobi waɗanda zasu iya. a raba su da sautin da suke yi; ƙungiya ɗaya ta yi haushi-karnuka-da sauran ƙungiyoyin meows- cats) Koyon da ba a kula da shi baya buƙatar lakabi don haka yana iya zama mafi kyau idan an saita saitin bayanai. iyakance kuma ba su da lakabi A ƙarshe, koyo ta hanyar algorithm shine abin da ke faruwa lokacin da mai tsara shirye-shirye ya umurci kwamfuta daidai abin da za a yi, mataki-mataki, a cikin shirin software.
a zahiri, mafi inganci kuma ƙarancin sakamakon bayanan sirri na wucin gadi yana buƙatar haɗin hanyoyin koyo Dukansu koyon injin da ba a kula da su ba hanyoyi ne masu amfani—duk game da amfani da ingantacciyar hanya ko hanyoyin zuwa yanayin amfani da ya dace.
Na gaba, za mu sanya koyon na'ura a ƙarƙashin na'urar hangen nesa don fahimtar yadda wannan ɓangaren AI ke madubi na jijiyoyin kwakwalwar mu don juya shigarwa zuwa mafi kyawun fitarwa.
Mahimmanci, mafi inganci kuma ingantaccen sakamakon basirar ɗan adam yana buƙatar haɗin hanyoyin koyo. Dukansu ilmantarwa na inji da marasa kulawa duka hanyoyi ne masu amfani-duk game da amfani da madaidaicin hanya ko hanyoyin zuwa yanayin amfani da ya dace.
Cibiyar Sadarwar Jijiya da Zurfafa Ilmantarwa
Koyon na'ura ɗaya ne kawai na AI, kodayake yana da ɗimbin juzu'i na algorithms a cikinsa Hanya ɗaya da kuke ji akai-akai a yau ita ce "ilimin zurfafa," algorithm wanda ya sami rabo mai kyau a cikin labarai a cikin 'yan shekarun nan Don fahimta. shahararsa da nasararsa, yana da taimako don fahimtar yadda yake aiki Zurfafa ilmantarwa shine juyin halittar injin koyo algorithm wanda ya shahara a cikin 1980s wanda zaku iya gane: hanyoyin sadarwa na jijiyoyi.
Neural networks — tsarin tsarin da muke horar da injuna don "koya" - suna da wahayi daga neurons, ko ƙwararrun sel na musamman a cikin jikin ɗan adam waɗanda ke samar da tushen tsarin jijiyarmu, da kwakwalwa musamman waɗannan ƙwayoyin suna watsa sigina a cikin jikinmu. Amsoshin tsarin da tafiyar matakai Neurons su ne ke ba mu damar gani, ji, wari, da sauransu.
Hoto 3. Yadda neurons ke karba da aika saƙonni
Yawancin abin da muke tunani a matsayin koyo na ɗan adam ana iya kwatanta shi ta yadda ƙarfin haɗin gwiwa tsakanin jijiya biyu a cikin kwakwalwarmu yake da ƙarfi, tare da ƙarfin gefuna na synapses.
A wani ɓangare na ɗaya na wannan jagorar, mun tattauna ainihin tsarin basirar ɗan adam: shigarwa a hagu, da fitarwa a dama Neuron (wanda aka kwatanta a sama) yana taka muhimmiyar rawa a wannan A gefen hagu na neuron, jikin tantanin halitta yana tattarawa. “Input” Da zarar ta sami isassun bayanai ko ƙara kuzari, axon ya buɗe, yana isar da bayanin zuwa gefen dama — synapse Ana aika “fitarwa” zuwa wasu ƙwayoyin cuta.
A kowane lokaci, jijiyoyinmu suna isar da sakonni tsakanin juna Wadannan kwayoyin halitta suna da alhakin iyawarmu don gane abubuwan da ke kewaye da mu Kuma lokacin da muka koya, jijiyoyinmu suna aiki sosai A gaskiya, yawancin abin da muke tunani a matsayin ilmantarwa na ɗan adam za a iya kwatanta shi ta hanyar. yadda haɗin gwiwa tsakanin jijiya biyu a cikin kwakwalwarmu yake da ƙarfi, tare da ƙarfin gefuna na synapses
Cibiyar sadarwa ta jijiyoyi simintin lissafi ce ta tarin ƙwayoyin neuron Hoton da ke ƙasa yana wakiltar cibiyar sadarwa na asali tare da yadudduka 3 da nodes 12
Kowane kumburin madauwari yana wakiltar “neuron” na wucin gadi, wanda aka yi wahayi zuwa ga ilimin halitta Layukan suna wakiltar haɗi daga fitowar neuron na wucin gadi a hagu zuwa shigar da wani akan sigina na dama tsakanin waɗannan jijiyoyi suna gudana tare da layin daga hagu zuwa dama A cikin waɗannan cibiyoyin sadarwa. , shigarwa-kamar bayanan pixel-yana gudana daga layin shigarwa, ta cikin tsaka-tsakin "boye" na tsakiya, kuma a ƙarshe zuwa layin fitarwa ta hanyar da aka kwatanta ta hanyar lissafin lissafin da aka yi wahayi zuwa gare ta ta hanyar aikin lantarki a ainihin. kwayoyin neurons.
Hoto 4. Sauƙaƙan hanyar sadarwa na jijiyoyi
Cibiyoyin sadarwa na jijiyoyi suna koyo ta ƙoƙarin daidaita saitin bayanan da aka gabatar zuwa layin shigarwa zuwa sakamakon da ake so a cikin abin fitarwa. Ma'auni na lissafi suna ƙididdige abubuwan da aka fitar, kwatanta fitarwar da aka kwaikwaya zuwa sakamakon da ake so, kuma bambance-bambancen da ya haifar sannan ya haifar da tweaks zuwa ƙarfin haɗin gwiwa.
Cibiyoyin sadarwa na jijiyoyi suna koya ta hanyar ƙoƙarin daidaita saitin bayanan da aka gabatar zuwa layin shigarwa zuwa sakamakon da ake so a cikin abin da ake fitarwa Ƙididdiga na lissafi suna ƙididdige abubuwan da aka fitar, kwatanta abin da aka kwaikwaya zuwa sakamakon da ake so, kuma bambance-bambancen da aka samu sannan suna samar da tweaks zuwa ƙarfin haɗin gwiwar. Wadannan tweaks ana canza su akai-akai har sai abin da aka lissafta ya kusa isa ga sakamakon da ake so, a lokacin ne muke cewa cibiyar sadarwar jijiyoyi ta "koyi"
Hoto na 5. Rukunin cibiyar sadarwa na jijiyoyi
Wadannan cibiyoyin sadarwa masu zurfi na "zurfi" na iya yin tsinkaya mai rikitarwa da yawa Za a iya samun dubban nodes da daruruwan yadudduka, wanda ke nufin dubban ƙididdiga daban-daban Tsarin ilmantarwa mai zurfi ya zama mai kyau a wasu matsalolin musamman, kamar magana ko gane hoto.
Ya kamata a lura, duk da haka, cewa zurfin ilmantarwa ba harsashi na azurfa ba ne don ilmantarwa na na'ura-musamman ba a cikin cybersecurity ba, inda wani lokacin babu babban adadin bayanai mai tsabta wanda ya dace da hanyoyin ilmantarwa mai zurfi Yana da mahimmanci don zaɓar madaidaicin algorithm, bayanai, da ka'idoji don aikin Wannan ita ce hanya mafi kyau don injuna don tattara shaida, haɗa ɗigon, da kuma zana ƙarshe.
Hanyoyin sadarwa na jijiyoyi na iya zama kamar abubuwan da za su kasance a nan gaba, amma ya kasance na ɗan lokaci A gaskiya, hanyoyin sadarwar jijiyoyi sun dogara ne akan ra'ayoyin da suka fara yaduwa a cikin 1940s A cikin sashe na gaba, za mu yi ɗan gajeren tafiya a baya don fahimta. yadda hanyoyin sadarwa na jijiyoyi da na’ura suka shigo cikin sassa da dama na rayuwar zamani.
Cibiyoyin sadarwa na jijiyoyi na iya zama kamar abubuwa na gaba, amma ya kasance na ɗan lokaci. A zahiri, hanyoyin sadarwar jijiyoyi sun dogara ne akan ra'ayoyin da suka fara yaduwa a baya a cikin 1940s.
Takaitaccen Tarihin Hankali na Artificial
Ga wasu mutane, kalmar hankali ta wucin gadi (AI) na iya haifar da hotuna na biranen nan gaba tare da motoci masu tashi da na'urorin gida amma AI ba ra'ayi ba ne na gaba, aƙalla ba haka ba Ko da yake ba a ambaci haka ba, ra'ayin na wucin gadi na iya zama. Tun daga shekarun 1930, masana kimiyya da mathematicians sun yi marmarin yin aikin hannu na Hephaestus bincika samar da hankali na gaskiya dabam da mutane
Ma'anar AI a cikin tsakiyar karni na 20th shine haɗuwa mai farin ciki na lissafi da ilmin halitta, tare da masu bincike kamar Norbert Wiener, Claude Shannon, da Alan Turing sun riga sun tsinke a tsakar siginar lantarki da lissafi By 1943, Warren McCulloch da Walter Pitts. ya ƙirƙiri abin ƙira don hanyoyin sadarwar jijiyoyi Cibiyoyin hanyoyin sadarwa sun ba da hanya don sabuwar duniya mai jajircewa ta kwamfuta tare da mafi girma. dawakai, kuma, a cikin 1956, an kafa filin binciken AI bisa hukuma azaman horo na ilimi
Ƙarshen rabin karni ya kasance shekaru mai ban sha'awa ga bincike da ci gaba na AI, wanda ya katse lokaci-lokaci ta hanyar "AI winters" a tsakiyar 70s da marigayi 80s inda AI ya kasa cimma burin jama'a, kuma zuba jari a cikin feld ya ragu Amma duk da koma baya. aikace-aikace daban-daban na AI da koyon injin suna bayyana hagu da dama Ɗaya daga cikin ƙayyadaddun ƙayyadaddun irin wannan aikace-aikacen ya zama sanannen misali a cikin al'ummar kimiyya, yana magana sosai ga gwaji da matsalolin bincike da aiwatar da AI.
Labarin yana tafiya kamar haka:
A cikin 1980s, PentagA lokacin da aka yanke shawarar yin amfani da hanyar sadarwa ta jijiyoyi don gano tankunan da aka kama Aiki tare da babban tsari guda ɗaya kawai (daga shekarun 1980, ku tuna), gidan yanar gizon yana horar da hotuna 200 - tankuna 100 da bishiyoyi 100 Duk da ƙananan hanyoyin sadarwa (saboda 1980s). iyakance akan ƙididdigewa da ƙwaƙwalwar ajiya), horon lab ya haifar da daidaiton 100% Tare da irin wannan nasarar, ƙungiyar ta yanke shawarar ba da ita. fita a cikin feld Sakamakon bai yi kyau ba.
Hoto 6. Lab vs Hotunan filin (Source: Neural Network Follies, Neil Fraser, Satumba 1998)
Tare da samar da albarkatu masu tarin yawa waɗanda ba a yi mafarkin a baya ba a cikin 1980's, hanyoyin sadarwa masu zurfi sun zama sanannen wuri don bincike da sauri. Zurfafa ilmantarwa yana ba da tsarin ikon yin "koyi" ta atomatik ta hanyar biliyoyin haɗuwa da abubuwan lura, rage dogaro ga albarkatun ɗan adam.
Me yasa cibiyar sadarwar jijiyoyi ta yi da ban mamaki akan hotuna a cikin dakin gwaje-gwaje, amma ta kasa gaba daya a cikin feld? Ya zamana cewa hotunan da ba na tanka ba, duk an dauki su ne a ranakun da sararin sama ya yi hadari; duk hotunan bishiyu an dauki su ne a ranakun da rana ke haskawa An horar da neural net don gane sunnah ba tankuna ba.
Daga ƙarshe, ko da yake, gani na gani ta hanyar zurfafa ilmantarwa - haɓaka ta hanyar hanyoyin sadarwa na jijiyoyi waɗanda suka fi rikitarwa fiye da Pen.tagA cikin shekarun 1980 na babban tsarin da zai iya rikewa - ya zama gaskiya A cikin 2012, Farfesa Stanford Andrew Ng da abokin aikin Google Jef Dean sun kirkiro daya daga cikin cibiyoyin sadarwa mai zurfi na farko ta hanyar amfani da kwamfutoci 1000 masu nau'ikan nau'ikan 16 kowanne. : ya sami kuliyoyi ² Godiya ga algorithm "zurfin ilmantarwa", hanyar sadarwar ta sami damar gane kuliyoyi na tsawon lokaci, kuma tare da ingantaccen daidaito.
Tare da samun albarkatu masu tarin yawa waɗanda ba a yi mafarkin a baya ba a cikin 1980s, hanyoyin sadarwar jijiyoyi masu zurfi sun zama sanannen yanki da sauri don bincike Zurfafa ilmantarwa yana ba tsarin ikon yin “koyi” kai tsaye ta hanyar biliyoyin haɗuwa da lura, rage dogaro akan albarkatun ɗan adam A cikin yankin yanar gizo, hanyar ta zama mai ban sha'awa musamman don gano malware - al'amuran da muke da manyan bayanai tare da tsofaffi da yawa.amples malware wanda cibiyar sadarwa za ta iya koya daga gare ta
Abin takaici, hanyoyin ilmantarwa mai zurfi a halin yanzu ba su da tasiri idan aka zo ga wasu lokuta masu amfani, kamar barazanar mai ciki, saboda kawai ba mu da nau'in bayanan da suka dace akan waɗannan nau'ikan hare-haren, a cikin kundin da ake buƙata Mafi yawan lokuta, bayanan da muke da su. A kan barazanar masu ciki akwai tatsuniyoyi, waɗanda ba za a iya amfani da su da kyau ta waɗannan nau'ikan hanyoyin sadarwa na jijiyoyi ba.
Har sai mun iya tattara bayanan da suka fi dacewa (da rage tsada da sarkar tsarin ilmantarwa mai zurfi), zurfin ilmantarwa ba shine zabin da ya dace ba don duk lokuta masu amfani Kuma wannan ba daidai ba ne zurfin ilmantarwa ɗaya ne kawai daga cikin algorithms na koyon inji, kuma waɗannan hanyoyin zasu iya zama. kamar dai ba mafi mahimmanci ba - duk ya dogara da aikin da ke hannun
Mun ga babban yuwuwar fasahar AI a cikin shekaru sittin tun lokacin da "haihuwarta" ta hukuma, kuma kawai mun zazzage saman ƙasa, musamman a cikin tsaro Na gaba, za mu nutse cikin yuwuwar aikace-aikacen AI da nazari don canza yanayin. hanyar da za mu gano da kuma mayar da martani ga barazanar tsaro.
Hasashen tsinkaya yanki ɗaya ne na babban wasan wasa wanda zai iya ba mu ƙarin haske mai fa'ida ga ƙungiyoyin tsaro.
Mun ga babban yuwuwar fasahar AI a cikin shekaru sittin tun daga “haihuwarta” a hukumance, kuma mun ɗan tono saman ƙasa, musamman a cikin tsaro.
Sabuwar Hannu don Binciken Tsaro
Ya zuwa yanzu, wannan jagorar ta yi nazari sosai kan koyan na'ura, fahimtar iyakokinta da ƙarfinta Akwai babban yuwuwar koyan na'ura don sauƙaƙe AI, amma yana da kyau a lura cewa babban wasan gano barazanar ba kawai game da zurfin koyo ko koyan na'ura ba ne. kamar yadda muka san shi a yau Sabbin hanyoyin bincike haɗe da sabbin nau'ikan bayanai na iya ba mu gabaɗayan sabbin tsare-tsaren da za mu yi nazari da aiki kan barazanar tsaro.
| Sabbin Hanyoyi | Nazari Na Cigaba da Inganta Nazari na Ci gaba ƙarƙashin Rashin tabbas | Amsa ga mahallin Amsa ga canjin gida/bayar da amsa Ƙididdige ko rage haɗari |
| Na gargajiya | Hasashen Hasashen Samfuran Kwaikwayi Hasashen Fadakarwa Tambaya/Rusa Ƙimar Rahoto Daidaitaccen Rahoto | Rukuni na yanke shawara, saurin bayani Mai yiwuwa, mai yuwuwa, matakan dogaro Babban aminci, wasanni, noman bayanai Babban saiti na bayanai, Dokoki/masu haifar da koma baya, mahimmin mahallin, hadaddun al'amuran A cikin bayanan ƙwaƙwalwar ajiya, bincike mai ban tsoro, Tambayar sararin samaniya ta tsohonample, rahoton kare mai amfani na ainihi lokaci, abubuwan gani, hulɗar mai amfani |
| Sabbin Bayanai | Dangantakar Ƙimar Ƙirar Ƙirar Ƙirar, Fassarar Fitar da Filaye da Tokenization | Mutane, matsayi, wurare, Dokokin abubuwa, fassarar ma'ana, daidaitawa ta atomatik, samar da taron jama'a |
Mun ga abin da nazari zai iya yi wa sauran masana'antu, kuma akwai yuwuwar yin nazari ya yi tasiri mai zurfi a kan tsaro ta yanar gizo, haka nan Muna ganin wannan yana yin tasiri a wani sabon fage da muke kira da nazarin tsaro, wanda da gaske ya ɗauki gwajin gwagwarmaya. Algorithms da hanyoyin da muka tattauna (da ƙari) kuma muka yi amfani da su suna taimakawa wajen magance ainihin matsalolin tsaro
Ƙididdigar gama gari da muke gani a cikin tsaro a yau sun haɗa da ƙirar tsinkaya, waɗanda ke ba mu damar gano inda haɗari na iya kasancewa cikin ɗimbin bayanai (wannan shine inda gano ɓarna fts a ciki) A taƙaice, ƙirar ƙira ta haɗa bayanan tarihi tare da halayen ainihin lokaci. don fahimta ko hango hasashen halin gaba Da wannan, zamu iya amsa tambayar, "Me zai faru na gaba?"
Amma hangen nesanmu don nazarin tsaro bai tsaya anan Binciken Hasashen yanki ɗaya ne kawai na babban wasan wasa ba wanda zai iya ba mu haske mai fa'ida ga ƙungiyoyin tsaro Mafi kyawun tsarin nazari ya haɗu da firikwensin hankali da tushen bayanai a ko'ina - tebur da sabar, wayar hannu. , girgije, cibiyoyin sadarwar jama'a, buɗaɗɗen bayanai, da dai sauransu - tare da hanyoyin bincike da yawa don nazarin halayya da barazana, gami da bincike na bincike, ƙirar ƙira, gano rashin lafiya, inganta halayya da amsawa, da ƙari
Wannan yana nufin cewa za mu iya yin nisa fiye da tsinkaya ko gano barazanar Yana ba mu damar ci gaba da bayar da ba kawai ganowar ci gaba ba amma fahimtar yadda ake amsa mafi inganci Nazarin Tsaro yana ba mu ikon amsa wasu mahimman tambayoyi, kamar “Ta yaya akwai barazana da yawa?” kuma "Mene ne mafi kyawun amsawa?"
Ba mu ga wasu nau'o'in nazari ba kamar hanyoyin ingantawa da ake amfani da su akan tsaro na yanar gizo tukuna, amma suna da babban tasiri Wadannan fasahohin suna duban duk halayen da za a iya yi ga hadarin tsaro da kuma ƙayyade mafi kyawun amsa Ee, akwai hanyoyin da za a yi wannan tare da lissafi.
Don misaliampHar ila yau, ana amfani da hanyoyin ingantawa lokacin da kake kira zuwa ga mai ba da sabis na wayar salula tare da matsala Ba sa ba da shawara kan ko inganta tsarin sabis ɗin ku a rangwame; suna dogara da tsarin lissafin lissafi a bango wanda ke duba bayanan kiran ku, adadin da aka jefar, yadda tarihin ku ya kwatanta da na sauran masu amfani, da sauransu Har ma yana ƙididdige yuwuwar za ku iya canzawa zuwa wani mai bada sabis sannan, fita. na duk matakai na gaba mai yiwuwa, yana ƙididdige mafi kyawun mataki na gaba don haɓaka riƙe abokin ciniki
Ana iya amfani da lissafin iri ɗaya ga ƙungiyar tsaro don gano haɗari, samar da hanyoyi da yawa waɗanda za a iya amsawa, da kuma tantance ta hanyar lissafi mafi kyawun martani don haɓaka ƙulla wannan haɗarin musamman.
Haɓaka saurin haɓaka da haɓakar barazanar tsaro suna sanya irin wannan ingantaccen amsawa mai mahimmanci Muna da ƙarin bayanai a yau fiye da da Alhamdu lillahi, muna kuma da ƙarin ikon ƙididdigewa, mafi kyawun algorithms, da ƙarin saka hannun jari a cikin bincike da fasaha don taimaka mana fahimtar wannan bayanan. ta hanyar lissafi Ta dukkan asusu, mun yi imanin an fara fara nazarin tsaro.
Muna da ƙarin bayanai a yau fiye da kowane lokaci. Alhamdu lillahi, muna kuma da ƙarin ƙarfin ƙididdigewa, mafi kyawun algorithms, da ƙarin saka hannun jari a cikin bincike da fasaha don taimaka mana fahimtar wannan bayanan ta hanyar lissafi. Ta dukkan asusu, mun yi imanin ana fara nazarin binciken tsaro.
Tallafin Abokin Ciniki
Haɗa tare da Mu
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