izibikezelo zobuchwepheshe zango-2034 | Umugqa wesikhathi wesikhathi esizayo

Funda izibikezelo zobuchwepheshe zango-2034, unyaka ozobona umhlaba ushintsha ngenxa yokuphazamiseka kwezobuchwepheshe okuzothinta imikhakha eminingi—futhi sihlola ezinye zazo ngezansi. Ikusasa lakho, thola ukuthi ukuphi.

I-Quantumrun Foresight walungisa lolu hlu; Inkampani yezokubonisana ngekusasa esebenzisa amasu okubona kusengaphambili ukuze isize izinkampani zichume kusukela kumathrendi azayo. Lesi ngesinye nje sezinto eziningi ezingase zibe khona umphakathi esikhathini esizayo.

izibikezelo zobuchwepheshe zango-2034

Ngo-2034, inani lempumelelo yobuchwepheshe namathrendi azotholakala emphakathini, isibonelo:

Ukuthengiswa komhlaba wonke kwezimoto zikagesi kufinyelela ku-15,806,667 1
Ithrafikhi yewebhu yeselula ebikezelwe ilingana nama-exabytes angama-374 1
Ithrafikhi ye-inthanethi yomhlaba wonke ikhula ibe ngama-exabytes angama-1,028 1

Izibikezelo ezihlobene nobuchwepheshe ngenxa yokuba nomthelela ngo-2034 zihlanganisa:

Okugqokekayo kosuku kuthatha indawo yama-smartphones: Ikusasa le-inthanethi P5

Izindatshana zobuchwepheshe ezihlobene zango-2034:

Ama-nanobots asizayo kwezokwelapha: Hlangana nama-micro-medics.

I-AI ithuthukisa imiphumela yesiguli: Ingabe i-AI isisebenzi sethu sezempilo esingcono kakhulu okwamanje?.

I-AI isheshisa ukutholwa kwesayensi: Usosayensi ongalali.

Ukuqamba okusizwayo: Ingabe i-AI ingathuthukisa ubuhlakani bomuntu?

Amawele edijithali omuntu siqu: Iminyaka yama-avatar aku-inthanethi.

I-Deepfakes yokuzijabulisa: Lapho ama-deepfakes eba ukuzijabulisa.

Amanethiwekhi adversarial akhiqizayo (ama-GAN): Iminyaka yemidiya yokwenziwa.

Amanethiwekhi e-neural ajwayelekile (ama-RNN): Ama-algorithms aqagelayo angalindela ukuziphatha komuntu.

I-Convolutional neural network (CNN): Ifundisa amakhompyutha ukuthi angabona kanjani.

Amarobhothi emolekyuli: Lawa marobhothi amancane angenza noma yini.

Ukuguqulwa kweminyaka yokwenziwa: Ingabe isayensi ingasenza sibebasha futhi?.

Amasistimu wezinzwa okwenziwa: Ingabe amarobhothi ekugcineni angazizwa?

Izikhangiso ze-VR: Umngcele olandelayo wokumaketha umkhiqizo.

Ukuchofoza izitini: Ibhalansi ekhohlisayo phakathi kwezitolo eziku-inthanethi nezenyama.

Umshwalense wezempilo weBlockchain: Ukubhekana nezinselele ekuphathweni kwedatha.

Abadwebi bamarobhothi abazimele: Ikusasa lokudweba odongeni.

I-Hempcrete: Ukwakha ngezitshalo eziluhlaza.

Impilo edijithali kanye nokulebula okuvikelekile: Ukunika amandla umthengi.

Ukugebenga kukahulumeni okucasulayo: Uhlobo olusha lwempi yedijithali.

Izimoto zezempi ezingahloliwe: Ingabe sisondela ezikhalini ezizimele ezibulalayo?.

Imithetho yendawo yezimoto ezizimele: Umgwaqo ongalawulwa kancane.

Umsebenzi we-AI-augmented: Ingabe izinhlelo zokufunda zomshini zingaba umlingani wethu weqembu ongcono kakhulu?

Ukulandelela ukulethwa nokuphepha: Izinga eliphezulu lokubonisa izinto.

Amakhemisi azimele: Ingabe i-AI nemithi iyinhlanganisela enhle?

Ukuhlaziywa kokuqukethwe kwesikali sewebhu: Ukwenza umqondo wokuqukethwe ku-inthanethi.

Ukuzenzakalela kwabasebenzi: Izisebenzi ezingabantu zingahlala kanjani zibalulekile?

Ikhompuyutha engenaseva: Ukuphathwa kweseva ye-Outsourcing.

I-AI efwini: Izinsizakalo ze-AI ezifinyelelekayo.

Ukuvakasha kwezindlu ezingokoqobo: Iminyaka yokuvakasha kwezindlu okugxilile.

I-automation yokuhlola abacebile: Ingabe i-AI ingaletha abagwema intela emgqeni?.

Buka wonke amathrendi angu-2034

Zitholele okuthrendayo komunye unyaka ozayo usebenzisa izinkinobho zomugqa wesikhathi ngezansi

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