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Google neNASA JPL Inoburitsa AI Modero Mapping Global Methane Plumes

Google neNASA's Jet Propulsion Laboratory (JPL) yakaunza MAPL-EMIT, modhi-yekudzidza yakadzama inoona, kuenzanisa, uye kuisa methane plumes pasi rose kubva kuNASA's EMIT satellite chiridzwa.

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Source-provided image accompanying Google and NASA JPL Unveil AI Model Mapping Global Methane Plumes
Source referenceKwakanyorwa
Muparidzi
unite.ai
Source link
unite.aihttps://www.unite.ai/google-and-nasa-jpl-unveil-ai-model-mapping-global-methane-plumes/
Source type
Yakabatanidzwa sosi - yekutanga-sosi mamiriro haasati asimbiswa.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

Transformer
A neural architecture inoshandisa kutarisisa kuenzanisi hukama kune dzakatevedzana dzakafanana.
Pipeline
Iyo yakarongedzerwa kufambiswa kwebasa rekutanga, nhanho dzemuenzaniso, uye postprocessing matanho.
Encoder
Icho chikamu chemuenzaniso chinoshandura chinopinza kuita chiratidziro chakavanzika.
Zviedze iwe pachakoChii chinonzi AI? Quiz

Chii chaitika

Google neNASA's JPL vakagadzira AI modhi inonzi MAPL-EMIT, inoshandisa data kubva kuNASA's EMIT satellite chiridzwa kuona, kuverengera, uye kuisa methane plumes pasi rose. Iyo modhi yakadzidziswa pa 3.6 miriyoni fizikisi-simulated methane plumes uye inoona makumi mashanu muzana akawanda plumes kupfuura nyanzvi dzevanhu. Yakaona anopfuura zviuru makumi maviri nezvitatu emamwe mapaipi pasi rese, kusanganisira mapaipi ari pamakumi maviri nemana emakumi maviri neshanu makuru epasirese epasi.

Iyo MAPL-EMIT modhi ndeyekupedzisira-ku-ku-kuguma chiratidzo chekushandura iyo inogadzirisa yakazara EMIT radiance spectrum kuti idzore methane ekuwedzera pamapikisi ese ari muchiitiko akabatana. Inobatanidza Swin-v2‑S ine convolutional decoder mune yeU-Net-yakafanana architecture uye inoita mabasa matatu panguva imwe chete: kuyera methane yekusimudzira papixel, kutsanangura chimiro chepure yega yega uye miganhu, uye kugadzirisa yega yega yekubuda.

Iyo modhi yakadzidziswa pamamiriyoni mazana matatu nemazana matanhatu emagetsi ekugadzira akagadzirwa achishandisa fizikisi-yakavakirwa simulation pombi uye akaiswa mune chaiyo EMIT zviitiko. Vatsvagiri vakapatsanura mazana maviri nemakumi matatu nemazana mashanu EMIT mataira mukudzidziswa, kusimbiswa, uye bvunzo seti uye vakadzidzisa modhi pa32 Google TPU machipi kwemaawa angangoita makumi mapfumbamwe nematanhatu.

Pamabhenji epasirese epasirese, MAPL-EMIT yakabata 84% yeNASA EMIT L2B plume complexes yakatsanangurwa nemaoko mukati meyedzo seti ye1,084 EMIT granules uku ichizivisa kanosvika ka1,5 semapure akawanda anonzwisisika sevanoongorora vanhu.

Kwakabva mashoko: unite.ai ↗

Nei zvichikosha

Iyo AI modhi ine zvakakosha zvekutarisa methane uye kuderedza kuedza. Methane igasi rinopisa regreenhouse rine simba rekudziya rakapetwa ka30 kupfuura kabhoni dhaikisaidhi mukati memakore zana. Iyo modhi inogona kubatsira kuona uye kuteedzera kuburitswa kwemethane kubva kwakasiyana masosi, kusanganisira marara, kurima, uye kugadzira simba. Ruzivo urwu runogona kushandiswa kuzivisa sarudzo dzemitemo uye nzira dzekudzikisa kuderedza kuburitswa kwemethane uye kurwisa shanduko yemamiriro ekunze.

Methane yakakwira yekudziya kwepasi rose inoita kuti kuona kwacho kuve kwakakosha pakuderedza mamiriro ekunze; modhi yacho inonatsiridza mwero wekuona mapure ne50 % pamusoro penyanzvi dzevanhu uye inofumura zviuru zvezvaimbova zvisina kurekodhwa zvinyorwa.

Nekunongedza hutsi hunobva munzvimbo dzinoraswa marara, zvekurima, uye zvivakwa zvesimba, MAPL-EMIT inopa data rinogona kuitika kune vanotonga nemakambani ane chinangwa chekuzadzisa chinangwa chekudzikisa cheGlobal Methane Pledge panosvika 2030.

Iyo modhi yakanakisa kugadzirisa kwenzvimbo (60 m) zvichienzaniswa nezviripo zvigadzirwa zvesathelaiti inogonesa sosi-nhanho kupihwa, kutsigira kwakanangwa kugadzirisa uye kudzikisa kuedza mumatunhu akakwira-emitting.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

Model Parameter Size:8B Parameters
VRAM Required5.5 GBGPU memory footprint
Target HardwareMacBook / Single GPUDeployment tier
Privacy100% Air-GappedLocal device capability
Core takeaway: Small, quantized models (3B–8B) now run directly inside smartphones and laptops with complete data privacy, while mammoth 400B+ models remain the domain of datacenter clusters.
Interactive Concept Check+10 Points
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Zvekutarisa zvinotevera

Kubudirira kweramangwana uye mashandisirwo eiyo MAPL-EMIT modhi, kusanganisira iyo inogona kubatanidzwa nezvimwe zviridzwa zvesatellite uye kushandiswa kwayo mumaindasitiri akasiyana. Kugona kweiyo modhi kuona uye kuyera methane plumes kunogona kuve nezvakakosha kune zvikamu zvakaita seoiri negasi, zvekurima, uye kutambisa marara.

Kubatanidzwa kweMAPL-EMIT zvinobuda muInjini yePasi maturusi uye kuti vanogadzira mitemo neindasitiri vanotora sei data rezvirongwa zvekudzikisa-emission.

Kugona kuwedzera kwemaitiro kune mamwe magasi egreenhouse uye kudzoreredza kwakawanda seNASA inotevera-chizvarwa imaging spectrometers inouya online.

Kuongororwa kwemazinga enhema-akanaka munzvimbo dzakaoma uye nekunatsiridza kwakatevera kunogona kuvandudza kuvimbika kwekutarisa kwekushanda.

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