Intuthuko yezobuchwepheshe kanye nokushintshela esikhathini sedijithali

  • Ubuhlakani bokwenziwa, i-Big Data, kanye ne-quantum computing kushintsha izinqubo zebhizinisi, ukunakekelwa kwempilo, isayensi, kanye nokwenza izinqumo.
  • I-5G kanye nokuxhumana kwe-6G kwesikhathi esizayo, kanye ne-ecosystem yamafu amaningi kanye ne-IoT, kuqhuba amakhaya ahlakaniphile, izimoto ezizimele, kanye namadolobha asebenza kahle kakhulu.
  • Ubuchwepheshe obuzinzile, amandla aphathekayo, kanye nokubamba i-COâ‚‚ kwenza ukusungula izinto ezintsha kube ngumsizi obalulekile ekulweni nokushintsha kwesimo sezulu.
  • Ukuphepha kwe-inthanethi kwe-Zero Trust kanye namamodeli okusebenza kwedijithali kubalulekile ekusetshenzisweni kwalezi ntuthuko ngaphandle kokwandisa ingozi.

Intuthuko yezobuchwepheshe kanye noshintsho emphakathini

Izinga lobuchwepheshe obusha obuvela ngalo likwenza kucace ukuthi Indlela yethu yokuphila, yokusebenza, kanye nokuxhumana kwethu izoshintsha kakhulu.Maduze nje, inhlanganisela yobuhlakani bokwenziwa, ukuxhumana okukhuluUkuzenzakalela kanye namandla ahlanzekile kuzochaza ukuthi ubani ovumelana nezimo nokuthi ubani oshiywe ngemuva, kokubili ezingeni lebhizinisi kanye nasekuphileni kwansuku zonke kwabantu.

Ngesikhathi esifanayo, izici ezifana nobhubhane, izingxabano zezwe, izinkinga zochungechunge lokuhlinzekwa kwempahla, kanye nokukhathazeka ngokufudumala komhlaba kuye kwaqondisa kabusha izinto ezintsha. impilo, ukusimama, ukuphepha kanye inhlalakahle yomzimba nengqondoAsikhulumi nje ngamagajethi akhangayo: ngemuva kwakho konke kukhona ushintsho olukhulu ezimbonini, ezibhedlela, emakhaya, emadolobheni, ngisho nasekuhloleni umkhathi.

Ubuhlakani bokwenziwa obukhiqizayo kanye nokuhlaziywa kokubikezela

ubuhlakani bokwenziwa obuthuthukile

Ukuvela kwe-AI ekhiqizayo kusuke ngokushesha ekubeni yinto ethakazelisayo kwaba ithuluzi lansuku zonke, ngamamodeli afana ne-ChatGPT, i-Bard, noma izinhlelo ezintsha ezifana ne-DeepSeek-V3, ezikwaziyo cabanga kangcono, nciphisa amaphutha, futhi uqonde umongo kangcono kakhuluLesi sizukulwane esisha samamodeli asikhiqizi nje umbhalo noma izithombe: siqala ukwenza izinqumo, siphakamise imiklamo yemikhiqizo, noma sisize emisebenzini ebalulekile.

Kwezokumaketha kanye nokuxhumana, izinkampani sezivele zisebenzisa abasizi be-AI ukuze Dala imikhankaso eyenzelwe wena, bhala okuqukethwe bese ukuvumelanisa ngemizuzwana kubabukeli neziteshi ezahlukene. Lokho okwakuthatha izinsuku phakathi kwabadali, ababhali nabahleli manje kungaxazululwa ngemizuzu embalwa, kukhulule isikhathi sezigaba zokuhlaziya amasu kanye nemiphumela.

Kwezokunakekelwa kwempilo, amamodeli okukhiqiza ahlanganiswa nedatha yezokwelapha ukuze kukhiqizwe imibiko ecacile, izifinyezo zemilando yezokwelapha, kanye neziphakamiso zokwelapha Zisekelwe ebufakazini. Azimthathi isikhundla udokotela, kodwa zimongela amahora amaningi omsebenzi wokuphatha futhi zimvumela ukuthi agxile kakhulu esigulini.

Isevisi yamakhasimende nayo iyashintsha ngokushesha. Ama-chatbot amasha axoxayo ayaqonda izici ezihlukile, aphatha izikhalazo eziyinkimbinkimbi, futhi angakwazi ukudlulisela amacala abucayi ngempela kumuntu omelene nomuntuUmphumela: isikhathi sokulinda esincane, ulwazi olungcono, kanye nezindleko ezilawulwayo kakhulu zamabhizinisi.

Konke lokhu kuqiniswa ukuhlaziywa kokubikezela, okusebenzisa i-AI ukuhlaziya inani elikhulu ledatha yomlando nokubikezela okuzokwenzeka ngokulandelayo. Ezitolo, isibonelo, sesivele sibone ukuthi ukusetshenziswa kwama-algorithms okubikezela kusebenze kanjani nciphisa izindleko zochungechunge lokuhlinzeka ngempahla kuze kufike kukota, ukulungisa kangcono amasheya, ukugwema ukuphuka nokunciphisa imfucuza yomkhiqizo.

Kwezezimali, amabhange asebenzisa amamodeli okubikezela ukuze hlola ubungozi besikweletu, thola ukukhwabanisa ngesikhathi sangempela, futhi ulungise amanani emikhiqizo yezezimaliI-Healthcare isebenzisa lezi zindlela ukuhlonza kusenesikhathi iziguli ezinamathuba aphezulu okuthola izifo ezithile, okuvula ithuba lokuthola imithi yokuvimbela enembile kakhulu.

Ngakolunye uhlangothi, ama-algorithms nawo azuza ubandlululo kudatha futhi angenza izinqumo ezingafanele uma engaqashwanga kahle. Ngakho-ke, umkhuba ocacile uwukufaka ukuphathwa kwedatha, ukuhlolwa kwe-algorithmic, kanye nokucaca ngendlela imodeli ngayinye eqeqeshwa futhi isetshenziswa ngayo, into ezoba yimpoqo ngemithethonqubo emisha ye-AI.

Ukucutshungulwa kwamadokhumenti okuhlakaniphile kanye ne-Big Data

I-Big Data kanye nokuzenzakalela kwedokhumenti

Nakuba i-AI yengxoxo ithatha izihloko zezindaba, kwenzeka inguquko ethule ekusebenzeni kwansuku zonke kwezinkampani: ukucubungula amadokhumenti okuhlakaniphile (i-IDP)Lezi zinhlobo zezixazululo zihlanganisa ukuqashelwa kwezinhlamvu ezibonakalayo, ukufunda komshini, kanye namamodeli olimi ukuze kufundwe, kuqondwe, futhi kuhlukaniswe kokubili amadokhumenti ahlelekile kanye namadokhumenti angahlelekile nhlobo.

Lokhu kusho ukuthi akugcini nje ngokucutshungulwa amaspredishithi noma amafomu aku-inthanethi ngendlela efanele, kodwa futhi ama-imeyili, izinkontileka eziskeniwe, ama-invoyisi anamanothi abhalwe ngesandla, izithombe zamathikithi, noma imibhalo yezomthetho eyinkimbinkimbiAmathuluzi athuthukile ayakwazi ukukhipha idatha efanele, ukuqinisekisa amasimu, nokuwadlulisela ngqo ezinhlelweni zezinkampani ngaphandle kokungenelela ngesandla.

Imiphumela iyamangaza: izinkampani ezenze umbiko we-leap ube yimpumelelo enkulu. ukwehla okukhulu kwamaphutha okuthayipha, ngaphezu kuka-90%kanye nokwanda kokukhiqiza okufika ku-30% ezinqubweni ezisebenzisa amaphepha amaningi. Ama-akhawunti akhokhwayo, izinsizakusebenza zabantu, iminyango yezomthetho, kanye nensizakalo yamakhasimende kungenye yezinzuzo ezinkulu.

Phakathi kwezindlela ezivame kakhulu zokusebenzisa, okulandelayo kuyaphawuleka: ukucutshungulwa kwe-invoyisi okuzenzakalelayoUhlelo luhlonza amanani, abaphakeli, izinsuku, intela, kanye nemigomo yokukhokha, lubhekisela kuzo kanye nama-oda okuthenga kanye nezinkontileka. Ukuphathwa kwemibhalo yokuthobela imithetho nakho kuya ngokuya kubaluleka, kudinga ukuthi ifomu ngalinye ligcwaliswe, lihlukaniswe ngendlela efanele, futhi litholakale ukuze kuhlolwe.

Lolu shintsho alunakuqondwa ngaphandle kwe-Big Data. U-80% wolwazi lwebhizinisi aluhlelekile, okusho ukuthi luse- imibhalo, izithombe, umsindo, ividiyo, noma amarekhodi ahlakazekileUkuhlanganiswa kwe-IDP kanye namapulatifomu edatha enkulu akuvumeli nje kuphela isitoreji, kodwa futhi nokusetshenziswa kwakho konke lokhu okuqukethwe ukuze kukhiqizwe ulwazi olusebenzayo ngesikhathi sangempela.

I-Quantum computing kanye nokuqhubekela phambili ku-AGI

I-Quantum computing ishintsha kancane kancane isuka ku-theory iye ekusebenzeni. Abadlali abakhulu kwezobuchwepheshe baveze intuthuko ebalulekile, njengeyokuqala ama-qubits e-topological, azinzile futhi awathambekele kakhulu ephutheniLezi zinhlobo zezenzakalo ezibalulekile zisisondeza ekufikeni kwamakhompyutha e-quantum angakwazi ukulinganiswa ngempela, akwazi ukubhekana nezinkinga ngisho namakhompyutha amakhulu angakwazi ukuzisingatha namuhla.

Esigabeni sokuqala, ukusetshenziswa okucacile kuzoba ku- ukulingiswa kwezinto, ukwakheka kwemithi okusha, ukulungiswa kwempahla, kanye nokumodela kwezezimali okuthuthukisiweUkuxazulula ngemizuzu embalwa ukulingisa okudinga amasonto ekhompyutha yendabuko kungaholela ekongeni izindleko ezinkulu kanye nokusungula izinto ezintsha emikhakheni efana nezimboni zezimoto, zamandla kanye nezamakhemikhali.

Ngesikhathi esifanayo, kukhulunywa kakhulu ngokuthi kungenzeka yini ukuthi kuqhutshekwe nobuhlakani obujwayelekile bokwenziwa (i-AGI), okungukuthi, izinhlelo ezikwazi ukufunda nokuzivumelanisa nezimo. imisebenzi ehlukahlukene kakhulu ngaphandle kokuqeqeshwa kabusha komunye nomunye wayoSisekude kakhulu ne-AGI ephelele, kodwa ukuthambekela kokwanda kwamamodeli ajwayelekile nanezindlela eziningi kukhomba kulolo hlangothi.

Uma lezi zinguquko ziqhubeka, inhlanganisela ye-quantum computing kanye ne-AGI ingabangela intuthuko yomlando emandleni ekhompyutha, ukuzenzekela kwesayensi kanye nokuklama izixazululo lokho esingenakukucabanga nanamuhla. Ngenxa yalesi sizathu, izingxoxo mayelana nomthethonqubo, ukuziphatha, kanye nemikhawulo yokusetshenziswa kwe-AI zizokhula kakhulu.

Ukuxhumana kwe-5G, 6G kanye nezinhlelo zemvelo zamafu amaningi

Ukuxhumana kuyinhlanganisela ehlanganisa yonke le nqubo. Amanethiwekhi e-5G aseqalile kakade ukunikeza Ukubambezeleka okuphansi kakhulu kanye nobubanzi be-bandwidth obukwazi ukusekela impilo yokuxhumana, ukuhlinzwa kokuxhumana, noma ukulawulwa kwemishini ekudefuthi zisebenza njengesisekelo sezimboni ezihlakaniphile, izimoto ezixhunyiwe, noma amadolobha aphethwe kangcono.

Kodwa-ke, imboni isivele ibheke phambili futhi iqala ukulungiselela isizukulwane sesithupha samanethiwekhi eselula. I-6G ihlose ukwandisa isivinini se-5G ngokuphindwe kayikhulu, ukunciphisa ukubambezeleka, nokuvumela... ukuxhumana ngasikhathi sinye kwamadivayisi ayizigidigidiLokhu kungadala amadolobha azimele, amarobhothi asebenzisanayo yonke indawo, kanye nokuhlangenwe nakho okujulile okungokoqobo okunekhwalithi engahlukaniseki nhlobo ezweni elingokoqobo.

Lezi zinhlelo zesizukulwane esilandelayo kulindeleke ukuthi zidlale indima ebalulekile ukuhlinzwa okukude, ukuhamba okuzenzakalelayo, ukuhlola isikhala, kanye namaphrojekthi amakhulu e-IoTZizoba yisihluthulelo sezindlela ezintsha zokuxhumana phakathi kwamasathelayithi, ama-drone kanye namadivayisi asemhlabeni, okudala inethiwekhi yomhlaba wonke ngempela.

Ngesikhathi esifanayo, izinkampani ziqinisa ukuzibophezela kwazo efwini, kodwa cishe akekho oseboshelwe kumhlinzeki oyedwa. Imodeli evelele i- imvelo ehlanganisiwe neyamafu amaningilapho izinsizakalo zomphakathi, amafu azimele, kanye nezinsizakusebenza zasendaweni kuhlanganiswa khona. Izinhlangano ezingaphezu kuka-80% sezivele zisebenza namapulatifomu amabili noma ngaphezulu amafu, futhi eziningi zisebenzisa ezingaphezu kwezinhlanu.

Le ndlela inikeza ukuguquguquka nokuqina, kodwa futhi yenza kube nzima ukuphatha: kukhona izinsizakalo ezihambisanayo, izindleko ezikhuphukile, kanye nezinselele ekuphepheni kwedatha nasekubuseniYilapho amathuluzi okuqondisa kanye nokubuka eqala khona ukusebenza, okuhlanganisa ukulawulwa kwazo zonke lezi zindawo, okuvame ukusekelwa yi-AI.

Ubuchwepheshe obuzinzile, amandla aphathekayo kanye nokubamba ikhabhoni

Izingcindezi zomphakathi, ezomthetho, kanye nezomnotho zicindezela ukusimama ukuze kube yindawo ebalulekile yokusungula izinto ezintsha. Umkhakha wezobuchwepheshe usuvele uqukethe amaphesenti amakhulu okukhishwa kwegesi emhlabeni jikelele, okufana nokuthuthwa komoya, ngakho-ke ukusebenza kahle kwamandla kanye namandla avuselelekayo sezibe yinto eza kuqala emasu.

Izikhungo zedatha ziya ezinhlelweni zokupholisa ezisebenza kahle kakhulu eziqhutshwa imithombo ehlanzekile, kuyilapho abahlinzeki bamafu abakhulu besebenzela ukwenza kanjalo. ukufeza ingqalasizinda engathathi hlangothi kwekhabhoniEzingeni lehadiwe, imiklamo esebenzisa izinto eziphinde zasetshenziswa kanye nomnotho ojikelezayo iyakhuthazwa, kunciphisa imfucuza kagesi futhi kwandise isikhathi sokuphila kwamadivayisi.

Emkhakheni wezimboni, sekuvele kunemiklamo yokuqala, njengezitshalo ezikwaziyo bamba amakhulu ezinkulungwane zamathani e-COâ‚‚ ngonyaka emikhakheni ejulile njengesamente noma insimbi. Ngaphezu kokunciphisa ngqo ukusabalala kwekhabhoni, lobu buchwepheshe buvula umnyango wamamodeli ebhizinisi amasha ahlobene nokuphathwa kanye nokubaluleka kwekhabhoni diokside.

Okwamanje, amandla aphathekayo aya ngokuya ethuthuka. Iziteshi zamandla elanga ezincane kanye namajeneretha avumela amadivayisi okunika amandla avela izinto zasendlini namathuluzi ochwepheshe okukhanyisa izimoto zikagesiAmamodeli afana ne-EcoFlow noma imigqa ye-Jackery anikeza amandla angama-kWh amaningana, amachweba amaningi kanye nokushaja okusheshayo ngamaphaneli elanga, okwenza abe umsizi wezimo eziphuthumayo kanye nemisebenzi yangaphandle.

Amabhange kagesi akudala nawo ashintshe indlela yawo yokuthuthuka. Amabhethri anomthamo omkhulu ane- ukushaja okusheshayo, amachweba amaningi e-USB-C kanye ne-USB-A, izintambo ezihoxiswayo, kanye nezibonisi zolwazi Manje sezivamile kulabo abathembela kumafoni abo eselula, amaphilisi, nama-laptop ngenkathi besesohambeni. Ukuhlanganiswa kwezinhlelo zokuvikela ezisebenzisa ngokweqile kanye nokushisa ngokweqile kuthuthukisa ukuphepha kwazo kanye nokuqina kwazo.

Ikhaya elihlakaniphile, i-IoT kanye nabasizi abaphambili be-virtual

Ikhaya elixhunyiwe selishintshe ekubeni yisithembiso laba yinto ebambekayo. Lokhu okulandelayo kuya ngokuya kuvama: Amadivayisi e-IoT akuvumela ukuthi ulawule izibani, izinga lokushisa, ukuphepha, noma izinto zikagesi kusuka kufoni yakho ephathekayo noma ngezwi, ngenhloso yokonga amandla nokuthola lula.

Amafriji ayakwazi ukuphatha impahla kanye nokusikisela uhlu lokuthenga, imishini yokuwasha ingakwazi hlela ukude futhi ulungise imijikelezo yakho ukuze idle kancaneFuthi izinhlelo zokulawula isimo sezulu zifunda emikhubeni yabahlali yokugcina ikhaya likhululekile ngezindleko eziphansi kakhulu.

Abasizi be-inthanethi basekelwe kulesi sisekelo. I-Alexa, i-Siri, kanye nabanye abancintisana nabo bathathe isinyathelo esisheshayo ngokufaka ubuhlakani bokwenziwa obukhiqizayo, banikeza okuhlangenwe nakho okusebenzisana kakhulu. ngokwemvelo kakhulu, ngokwesimo futhi ngokwezifisoAbasagcini nje ngokwenza imiyalo elula: babamba izingxoxo, baxazulule ukungabaza okuyinkimbinkimbi, bakhiqize okuqukethwe, futhi bahlele yonke imvelo yasekhaya elihlakaniphile.

Kukhishwe izinguqulo ezithuthukisiwe zalaba basizi, ezikwaziyo Funda kumsebenzisi ngamunye, vumelanisa ithoni, futhi ukhumbule okuthandayo.Ngaphezu kwalokho, izindinganiso ezifana ne-Matter zihlose ukuqinisekisa ukuthi noma iyiphi idivayisi, kungakhathaliseki ukuthi iluhlobo luni, ingahlanganiswa kalula, okuthuthukisa kokubili ukuphepha kanye nokulula kokusetshenziswa.

Amarobhothi asekhaya afana namamodeli amasha emishini yokuhlanza ehlakaniphile noma iziphakamiso ezinkulu, njengabasizi beselula abahlonyiswe ngamakhamera, izinzwa kanye nokuxhumeka kwamafu, manje angakwazi ukuqapha indlu, ukuqapha lapho abanikazi bengekho, futhi usebenze njengesixhumanisi namanye amadivayisi kuxhunyiwe. Kwabadala noma ngokuncipha kokuhamba, lezi zinhlelo ziqala ukusebenza njengokusekela emisebenzini yokukhumbuza imithi noma izexwayiso eziphuthumayo.

I-Virtual, augmented and metaverse reality

Iqiniso elingokoqobo kanye neqiniso elingeziwe kuthuthuke ngokushesha kakhulu ngokwezici kanye nenduduzo. Uma kuqhathaniswa nama-headset okuqala amakhulu, manje sesithola Izibuko ezikhanyayo, ezinezikrini ezinesinqumo esiphezulu kanye nezinhlelo zokulandelela ezithuthukisiwe, ezihlanganisa izinto zedijithali kalula nendawo ezungezile.

Amagama amakhulu emikhakheni yezokuzijabulisa kanye ne-electronics yabathengi aqalise amamodeli avumela kusukela kusukela ekudlaleni ezindaweni ezigxile ngokuphelele kuya ekuhlanganyeleni ekuqeqeshweni, ekulingiseni kobungcweti, noma kokuhlangenwe nakho kwezemfundo lapho umsebenzisi exhumana khona nolwazi olusekelwe eqinisweni.

Amadivayisi aphezulu afaka izikrini ze-micro-OLED ezixinene kakhulu, ukulandelela amehlo okuthuthukisiwe, kanye nezilawuli nge ukushukuma komzimba, izwi, kanye nokunyakaza kwamehlonge-interface enezinhlangothi ezintathu ezenza izinhlelo zokusebenza zibonakale zintanta esikhaleni sangempela. Ezinye zize zibonise ukwenziwa kabusha kwamehlo omsebenzisi ebheke ngaphandle ukuze alondoloze ukuxhumana okuncane okubonakalayo nalabo abamzungezile.

Kanye nale mikhiqizo yekhwalithi ephezulu, kuvela izinketho ezingabizi kakhulu, ezenzelwe labo abafuna ukuqala ngemidlalo ye-VR, ukubuka okuqukethwe, noma ukuqeqeshwa okusebenzisana ngaphandle kokutshala imali eningi. Ngaphezu kwalokho, abakhiqizi abasafufusa bethula izibuko zangempela ezikhaphukhaphu kakhulu kanye namaphrojektha amancane eziguqula noma iyiphi indawo ibe isikrini, zisondeza lobu buchwepheshe egumbini lokuphumula.

Konke lokhu kuhlobene nokuvela kwe-metaverse, eseqala ukusuka ekuzijabuliseni nje ukuze ivule amathuba ku ukubambisana okukude, ukuthengisa, ukuqeqeshwa, ukulungiswa kwezimboni, noma ukulingisa izinquboIzinkampani ezivela emikhakheni ehlukene zihlola izindawo ezingokoqobo lapho abasebenzi, abahlinzeki kanye namakhasimende bexhumana khona ezindaweni ezabiwe, ngedatha yesikhathi sangempela namamodeli e-3D.

Impilo exhunyiwe kanye nezinto ezigqokwayo zesizukulwane esilandelayo

Ukunakekelwa kwezempilo kudlula ekushintsheni okukhulu ngenxa yezinto ezigqokwayo, lawo madivayisi ahambisana nathi ngaso sonke isikhathi. Amawashi ahlakaniphile, amasongo, namasongo kuye kwashintsha kusukela ekubenila izinyathelo nje kuya... qapha izinga lokushaya kwenhliziyo, ulinganise umoya-mpilo wegazi, uhlaziye ubuthongo, futhi uxwayise ngisho nangokungahleleki kahle kwenhliziyo okungenzeka.

Izindandatho ezinezikrini zokuthinta ezincane seziqala ukuvela, okuvumela abasebenzisi ukuthi bahlole izaziso kanye nedatha ebalulekile ngqo emunweni wabo, ngaphandle kokudinga ifoni yabo. Njengoba kunezinsuku eziningana zokuphila kwebhethri kanye ukuhambisana nezinhlelo zeselula ezisakazeke kakhuluBaba ngabangane abaqaphile bokuqapha impilo nendlela yokuphila njalo.

Emikhakheni ephezulu yamawashi ezemidlalo nezokungcebeleka, amanye amamodeli anikeza amakesi e-titanium amelana kakhulu, izibonisi ezikhanya kakhulu, ukumelana namanzi ekujuleni okukhulu, kanye izitifiketi zempi ngokumelene nokushaqeka, uthuli kanye nokushisa okukhuluZihlanganisa i-GPS enamaza amabili, izinzwa zokujula, kanye nama-altimeter athuthukile anezilinganiso eziyinkimbinkimbi zokuqeqesha, ukuphepha, kanye nokusebenza.

Amanye amawashi agxile kakhulu ngaphandle anezela ukuhambisana nezinhlelo ezahlukene zesathelayithi, amamephu angaxhunyiwe ku-inthanethi, izexwayiso zesimo sezulu, kanye izindlela zemidlalo ezingaphezu kwekhuluukuba amathuluzi abaluleke kakhulu kubantu abahamba ngezinyawo, ababhukudi noma abaqwali bezintaba abadinga ukuzulazula okunembile kanye nedatha ethembekile ezimweni ezinzima.

Ekhaya, ngisho nesilinganiso sendlu yokugezela sishintshiwe. Amamodeli ahlakaniphile anamuhla adlula kakhulu isisindo: angenza eminye imisebenzi. ukuhlaziywa kokwakheka komzimba, ama-electrocardiogram alula, kanye nokuqapha umsebenzi wezinzwaukuthumela lonke lolo lwazi kuhlelo lokusebenza lweselula, futhi uma umsebenzisi efisa, kudokotela wakhe oyinhloko.

Ama-laptop ane-AI ehlanganisiwe nendawo yokusebenza yedijithali

I-laptop yendabuko iguqulwa ibe uhlobo lwe- Isikhungo sokukhiqiza somuntu siqu esisizwa yi-AIAmamodeli amasha afaka amaprosesa azinikele emisebenzini ye-AI, akwazi ukusebenzisa amamodeli endaweni ukuze athuthukise ukusebenza, ukuzimela, kanye nobumfihlo.

Phakathi kwezinto ezintsha ezihlaba umxhwele kakhulu kukhona amadivayisi anezikrini ze-OLED ezigoqeka ngaphandle, ezingasuka kufomethi encane ziye izindawo zokusebenza ezinkulu kune-intshi ezingu-18okuvumela ukusetshenziswa kwezilungiselelo ezahlukene: imodi ye-laptop yakudala, imodi eqondile yokufunda amadokhumenti amade, imodi yokwabelana ngesikrini esikabili, noma imodi yethebhulethi yokudweba nokuchaza.

Lawa makhompyutha ahlanganisa namaphaneli okuthinta ahlakaniphile ane- izindawo zokulawula ezingenziwa ngezifiso, ukufinyelela okusheshayo kwimisebenzi ye-multimedia namathuluzi okudalaZihlanganisa i-RAM eyanele, ama-SSD asheshayo, nama-chip asezingeni eliphezulu ukuze zisebenze ngokuhlela ividiyo, ukumodela kwe-3D, noma ukuhlaziywa kwedatha ngaphandle kwesidingo samakhompyutha edeskithophu.

Abakhiqizi abaphambili nabo babuyekeze ububanzi babo be-ultralight, behlanganisa ama-processor namakhono e-AI ukuze Lungiselela ukusetshenziswa kwebhethri, thuthukisa ikhwalithi yekholi yevidiyo, futhi unikeze ukwesekwa komsebenzisi emisebenzini efana nokuhlela iposi, ukufingqa amadokhumenti, noma ukubhala phansi imihlangano.

Lokhu kuthuthuka kuwela ngaphakathi komqondo wendawo yokusebenza yedijithali, lapho ukuhamba kanye nokuguquguquka kubalulekile khona ukuheha nokugcina ithalente lobuchwephesheIzindawo eziphephile zokusebenza noma kuphi, ukufinyelela kude ezinsizeni ezibalulekile, kanye nokusebenzisana online ngesikhathi sangempela akuseyona into yokunethezeka kodwa kuyimfuneko eyisisekelo yokuncintisana emakethe yemisebenzi.

Ukuphepha kwe-inthanethi, i-Zero Trust kanye nokulwa nokwaziswa okungelona iqiniso

Uhlangothi oluphambene lokuxhumana okuningi kangaka kanye nedatha luwuhlaselo olukhula njalo. Izinsongo zedijithali ziya ngokuya ziba yinkimbinkimbi, ngemikhankaso ehlanganayo i-ransomware, ubunhloli, ukwebiwa kweziqinisekiso, kanye nokuphathwa kabi kolwazi, ngokuvamile eqhutshwa amaqembu ahleliwe noma ngisho nayizifundazwe.

Kutholakale ukuhlasela okukhulu okuphoqe ohulumeni nezinkampani ukuthi baqinise ukutshalwa kwezimali kwabo kwezokuphepha kwe-inthanethi, ukuqapha amahora angama-24 ngosuku, izinsuku eziyi-7 ngesonto kanye nezimpendulo ezihlelekileUkwakhiwa kwe-Zero Trust sekuba yinto evamile: esikhundleni sokuthembela ngokuzenzakalelayo kulokho okungaphakathi kwenethiwekhi, konke ukufinyelela kumele kuqinisekiswe njalo, kuhlolwe ubunikazi, idivayisi, indawo, kanye nokuziphatha.

Lokhu kuqiniswa ngokuqinisekiswa kwezinto eziningi, ukubethela kusukela ekuqaleni kuya ekugcineni, kanye nezinhlelo zokuhlaziya zesikhathi sangempela ezisebenzisa Bafunda amaphethini okusebenzisa futhi bathole imisebenzi engavamileI-biometrics, njengokuqashelwa kobuso noma kweminwe, ihlanganiswa nezinye izici zokuphepha ukunciphisa ingozi yokuzenza umuntu ongeyena.

Ukuqeqeshwa kwabasebenzi nakho kuba yinsika eyisisekelo. Izinhlangano ezizilungiselela kangcono yizo ezizilungiselela kangcono. Batshala imali ekukhuliseni ukuqwashisa kwabasebenzi babo nge-phishing, ubunjiniyela bezenhlalo, kanye nemikhuba emihle kakhulu.Ukwazi ukuthi ukuxhumana kwabantu kusengenye yamaphuzu asengozini kakhulu.

Izimoto ezizimele, amarobhothi kanye nokuhamba okusimeme

Ukuhamba nakho kuyaqhubeka noshintsho olukhulu. Izimoto ezizimele zisuke emalabhorethri zaya izinhlelo zokuhlola emadolobheni angempela, ngemizila echaziwe kanye nokuqapha kokulawulaIzimoto ezihlonyiswe ngezinzwa ezingama-degree angu-360, amakhamera, kanye nama-radar ziyakwazi ukushayela emigwaqweni emikhulu nasezindaweni zasemadolobheni ngaphandle kokungenelela kwabantu okuningi.

Abanye abakhiqizi sebevele behlola izinsizakalo zama-robo-taxi zabasebenzi babo, okuyisinyathelo esibheke ekuvulekeni okukhulu emphakathini. Izimoto ezihlonyiswe ngezinhlelo zokusiza abashayeli ezithuthukisiwe zihlala zivuselelwa ngesofthiwe ukuze ukuzivumelanisa nezimo ezintsha zethrafikhi, izinguquko zomthetho, kanye nokuthuthukiswa kwama-algorithms.

Ngesikhathi esifanayo, kuvela iziphakamiso zokuhamba ezihluke kakhulu: izimoto zikagesi ezizimele eziklanywe kusukela ekuqaleni ngaphandle kwesiteringi noma ama-pedal, ezine ukulungiswa kwangaphakathi okwenzelwe abagibeli ukuhamba ubuso nobuso, noma ama-prototype ezimoto ezikhanyayo kakhulu ezimbozwe ngamaphaneli elanga akwazi ukusebenzisa imisebe ukuze ashaje amabhethri azo.

Amarobhothi nawo angena emakhaya nasezimbonini. Ngale kwemishini yokuhlanza ezenzakalelayo, sesiqala ukubona amarobhothi asebenza kahle. Baqapha amakhaya, basize ezindaweni zokugcina impahla, noma bahlole izindawo eziyingozi.Zihlanganisa izinzwa, i-AI, kanye nokuxhumeka okuhlala njalo ukuze zihambise futhi zenze izinqumo ngaphandle kokuqashwa okuqhubekayo.

Kulesi simo, ukusetshenziswa kahle kwamandla kanye nokunciphisa ukukhishwa kwegesi kuba yizinto eziza kuqala. Ukuzibophezela ezimotweni zikagesi, ingqalasizinda yokushaja, ukuhlanganiswa namagridi ahlakaniphile, kanye nezixazululo zelanga eziphathwayo kukhomba imodeli entsha yezokuthutha. kuhlanzekile, kuthule futhi kuhambisana nemigomo yesimo sezulu.

Ukuhlola isikhala, imingcele ye-bio-digital kanye nama-microbiomes

Ukuguqulwa kobuchwepheshe akugcini eMhlabeni kuphela. Imisebenzi yasemkhathini esezingeni eliphezulu ilungiselela ukuhlola izinyanga ezibandayo nezilwandle ezingaphansi komhlaba zifuna izimpawu ezingaba khona zokuphila ngaphandle kweplanethi yethuLezi zihambo azizona nje izigigaba zesayensi, kodwa futhi ziyizimpawu zamasiko ezikhuthaza imboni kanye nomphakathi.

Okwamanje, amaphrojekthi ahlanganisa i-biology kanye ne-robotics, njengezinto eziphilayo ezincane ezihlelwe kabusha ukuze zenze imisebenzi ethile, abonisa izinga okungenzeka ngalo lokhu. ukufiphaza umugqa phakathi kwezinto eziphilayo kanye nezinto zokwenziwaUcwaningo mayelana nokuxhumana kobuchopho namakhompyutha, okunezitho ezifakiwe ezikwazi ukuhumusha izimpawu zemizwa zibe yizenzo zedijithali, luvula amathuba ekwelapheni izifo, ukuvuselelwa, noma ngisho nezinhlobo ezintsha zokuxhumana nemishini.

Enye indawo evelayo ukuhlaziywa kwama-microbiomes ezindaweni esihlala futhi sisebenza kuzo. Indawo ngayinye inemiphakathi eyinkimbinkimbi yamabhaktheriya, isikhunta, namagciwane, aqukethe Ukuqonda okujulile kungaba yisihluthulelo sokuvimbela ubhubhane lwesikhathi esizayoUbuchwepheshe obusheshisa ukusampula, ukwenziwa kwedijithali, kanye nokuhlaziywa kwale datha yezinto eziphilayo kuzosenza sikwazi ukulindela ukuqubuka kwezifo futhi sakhe izindawo eziphephile.

Ngisho nezinto zansuku zonke, njengewashi lesikhumbuzo eliphefumulelwe imisebenzi yasemkhathini, ziyahlanganiswa izinkomba zesayensi, izibalo, kanye nezinto ezinembile kakhuluUkukhumbula ukuthi ukuhlola indawo yonke kuyindaba yokuklama, ubunjiniyela, kanye namasiko athandwayo.

I-mosaic yentuthuko eqala ukwakheka ihlanganisa i-AI ekhiqizayo, amanethiwekhi ashesha kakhulu, i-quantum computing, amandla ahlanzekile, izinto ezigqokwayo, amarobhothi, i-IoT, kanye nokuhlola isikhala kube indaba eyodwa: leyo yomphakathi ohambela endaweni ezungezile. kuxhunywe kakhudlwana, ngokuzenzakalela, kusebenza kahle futhi ngesikhathi esifanayo kuvezwe kakhudlwanaLabo abalindele, abatshala imali emathalenteni, abavikela idatha yabo, futhi abamukela ukusimama bazoba nezinketho eziningi zokusebenzisa lolu shintsho olukhulu kwezobuchwepheshe kunokuba bahlupheke yilo.

I-Digital Humanism: Incazelo, Izimiso, Izimiso Zokuziphatha, kanye Nezicelo Esikhathini Sobuchwepheshe
I-athikili ehlobene:
I-Digital Humanism: Incazelo, Izimiso, Izimiso Zokuziphatha, kanye Nezicelo