izibikezelo zezempilo zika-2040 | Umugqa wesikhathi wesikhathi esizayo

Funda izibikezelo zokunakekelwa kwezempilo zika-2040, unyaka ozobona izinguquko eziningi kwezempilo ziba sesidlangalaleni—ezinye zingase zisindise ukuphila kwakho ... noma zikwenze ube namandla angaphezu kwawomuntu.

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 zezempilo zika-2040

Ugwayi uqedwa kakhulu ngenxa yokuthi umhlaba wamapulazi uya ngokuya ubekelwe ukukhiqizwa kokudla. 1
Ugwayi uqedwa kakhulu ngenxa yokuthi umhlaba wamapulazi uya ngokuya ubekelwe ukukhiqizwa kokudla 1

Ngo-2040, inani lempumelelo nezitayela zezempilo zizotholakala emphakathini, isibonelo:

Phakathi kuka-2022 kuya ku-2025, i-Canada isungula uhlelo lomhlaba wonke, olukhokha oyedwa ekhemisi olubiza u-$15 bhiliyoni oluzobhala uhlu lukazwelonke lwemithi kadokotela oluzokhavwa ngumkhokhintela. Amathuba: 60% 1
Ugwayi uqedwa kakhulu ngenxa yokuthi umhlaba wamapulazi uya ngokuya ubekelwe ukukhiqizwa kokudla 1

Izibikezelo ezihlobene nezempilo ngenxa yokuba nomthelela ngo-2040 zihlanganisa:

Ubunjiniyela ingane ephelele: Ikusasa Le-Human Evolution P2

Izindatshana zobuchwepheshe ezihlobene zango-2040:

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

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

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?

Umshwalense wezempilo weBlockchain: Ukubhekana nezinselele ekuphathweni kwedatha.

Impilo edijithali kanye nokulebula okuvikelekile: Ukunika amandla umthengi.

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

Amakhemisi azimele: Ingabe i-AI nemithi iyinhlanganisela enhle?

Ama-Biocomputers anikwa amandla amaseli obuchopho bomuntu: Isinyathelo esibheke kubuhlakani be-organoid.

Ukushintsha kwesimo sezulu kanye nomzimba womuntu: Abantu bazijwayeza kabi ukushintsha kwesimo sezulu.

Ukulawula ama-psychedelics: Yisikhathi sokucabangela ama-psychedelics njengezindlela zokwelapha ezingase zibe khona.

Ubuchwepheshe bokulwa nothuli: Kusukela ekuhloleni indawo kuya emandleni aqhubekayo.

Idizayini ye-antibody ekhiqizayo: Lapho i-AI ihlangana ne-DNA.

I-Generative AI yokukhuluma: Wonke umuntu uba nekhono lokuqamba.

Idatha yezempilo yokwenziwa: Ibhalansi phakathi kolwazi nobumfihlo.

Izivivinyo ezigcwele zofuzo lwezingane ezisanda kuzalwa: Inkinga yezimiso zokuziphatha nokulingana.

I-deepfakes yezokwelapha: Ukuhlasela okunzima ekunakekelweni kwezempilo.

Abezimo eziphuthumayo bakwaRobo: I-AI izosiza.

I-Neuropriming: Ukukhuthazwa kobuchopho bokufunda okuthuthukisiwe.

Ukukha imibungu: Esinye isinyathelo esibheke kubantwana abaklami?

Okugqokekayo kwe-Biohazard: Ukulinganisa ukuchayeka komuntu ekungcoleni .

Ukucekelwa phansi kwezakhi zofuzo: Ukuhlelwa kofuzo kuhamba kabi.

Inkinga yokuzala: Ukwehla kwezinhlelo zokuzala.

Izinyathelo zokusebenzisana: Ukucindezela ukwenza yonke into ihambisane.

Ukuqashelwa okokufaka okuningi: Ukuhlanganisa ulwazi oluhlukile lwebhayomethrikhi.

Ukuqashelwa kwe-Wi-Fi: Yiluphi olunye ulwazi olunganikezwa yi-Wi-Fi?.

Ukwelashwa kwengqondo okuthuthukisiwe: Ukwelapha izidakamizwa ukuze udale izindlela zokwelapha ezihamba phambili.

Buka wonke amathrendi angu-2040

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