izibikezelo zesayensi zika-2026 | Umugqa wesikhathi wesikhathi esizayo

Funda izibikezelo zesayensi zika-2026, 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-2026

I-European Space Agency (ESA) yethula ngokusemthethweni isathelayithi ye-PLATO, ehlose ukubheka amaplanethi afana noMhlaba. Amathuba: amaphesenti angu-70.1
I-National Aeronautics and Space Administration yethula i-rotorcraft ukuze ihlole inyanga ye-Saturn eneqhwa, i-Titan. Amathuba: amaphesenti angu-601
I-National Aeronautics and Space Administration, i-Italian Space Agency, i-Canadian Space Agency, kanye ne-Japan Aerospace Exploration Agency ngokubambisana bethula umkhankaso we-Mars wokuhlola izindawo eziseduze neqhwa. Amathuba: amaphesenti angu-601
I-European Space Agency (ESA) yethula i-Plato Mission, isebenzisa izibonakude ezingama-26 ukucinga amaplanethi okuhlalwa kuwo njengoMhlaba. Amathuba: amaphesenti angu-701

Ngo-2026, inani lempumelelo yesayensi namathrendi azotholakala emphakathini, isibonelo:

Phakathi kuka-2024 no-2026, umkhankaso wokuqala we-NASA wokuya enyangeni uzoqedwa ngokuphephile, okuphawula uhambo lokuqala lwabasebenzi lokuya enyangeni emashumini eminyaka. Kuzophinde kuhlanganise nosomkhathi wokuqala wesifazane ukunyathela enyangeni naye. Amathuba: 70% 1

Izibikezelo ezihlobene nesayensi ngenxa yokuba nomthelela ngo-2026 zihlanganisa:

Izindatshana zobuchwepheshe ezihlobene zango-2026:

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?.