izibikezelo zesayensi zika-2033 | Umugqa wesikhathi wesikhathi esizayo

Funda izibikezelo zesayensi zika-2033, unyaka ozobona umhlaba ushintsha ngenxa yokuphazamiseka kwesayensi okuzothinta imikhakha eyahlukene—futhi sihlola eziningi 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 zesayensi zika-2033

Kudingidwa ngezinhlelo zokuthunywa kwabantu ku-Mars maphakathi neshumi leminyaka. 1

Ngo-2033, inani lempumelelo yesayensi namathrendi azotholakala emphakathini, isibonelo:

I-NASA isebenzisana nezinkampani ezizimele ukuze ithole umuntu wokuqala ku-Mars phakathi kuka-2033 no-2036. Amathuba: 70% 1

Izibikezelo ezihlobene nesayensi ngenxa yokuba nomthelela ngo-2033 zihlanganisa:

Izindatshana zobuchwepheshe ezihlobene zango-2033:

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.

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?

Izimoto zezempi ezingahloliwe: Ingabe sisondela ezikhalini ezizimele ezibulalayo?.

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

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

Amapulazi elanga antantayo: Ikusasa lamandla elanga.

Ukuthuthukisa Umhlaba ngobuchwepheshe bomkhathi: Ukusebenzisa impumelelo emkhathini Emhlabeni.

I-Neuro-symbolic AI: Umshini ongagcina ubambe kokubili okunengqondo nokufunda.

I-Neuropriming: Ukukhuthazwa kobuchopho bokufunda okuthuthukisiwe.

Ukukha imibungu: Esinye isinyathelo esibheke kubantwana abaklami?

Ukucekelwa phansi kwezakhi zofuzo: Ukuhlelwa kofuzo kuhamba kabi.

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

Amakhompuyutha e-quantum azilungisayo: Ayinaphutha futhi ayiwabekezeli amaphutha .

Amaphuzu e-biometric: I-biometrics yokuziphatha ingase iqinisekise ubunikazi ngokunembe kakhudlwana.

Ukwenziwa kofuzo okusheshayo: I-synthetic DNA ingase ibe ukhiye wokunakekelwa kwezempilo okungcono.

Uhlolojikelele Ukukala Komphumela: Ingabe abantu bansuku zonke bangaba ne-epiphany efana neyosomkhathi?.

Ama-Neuroenhancer: Ingabe lawa madivayisi ayizinga elilandelayo lokugqokwa kwezempilo?

Inhliziyo yokwenziwa: Ithemba elisha leziguli zenhliziyo .

Ama-superhumans e-CRISPR: Ingabe ekugcineni kungenzeka ukuphelela nokuziphatha?

Amagciwane kanye ne-CO2: Ukusebenzisa amandla amagciwane adla ikhabhoni.

Ukuqashelwa kofuzo: Abantu manje babonakala kalula ngezakhi zabo zofuzo.

Amaseli amancane okwenziwa: Ukudala impilo eyanele yocwaningo lwezokwelapha.

Ama-molecule adingeka kakhulu: Ikhathalogi yama-molecule atholakala kalula.

Buka wonke amathrendi angu-2033

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