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NASA da IBM sun saki samfurin AI na buɗe tushen wata akan Hugging Face

NASA da IBM sun ƙaddamar da Tsarin Gidauniyar Lunar, wani buɗaɗɗen tushen kayan aikin AI wanda aka horar a shekarun shekarun da suka gabata na bayanan wata don taimakawa gano fasalin yanki na shirin Artemis.

4 min readRead the original reporting
Source-provided image accompanying NASA and IBM release open-source lunar AI model on Hugging Face
Rahoton da aka dangantaAn rubuta tushen tushe
Mawallafi
cnet.com
Tushen hanyar haɗin gwiwa
cnet.comhttps://www.cnet.com/science/space/nasa-ibm-launch-open-source-ai-model-future-moon-explorations/
Nau'in tushe
Rahoto ta hanyar tashar labarai - ba daftarin aiki na ɓangare na farko ba.

Abin da ba mu iya tabbatarwa da kansa ba: An dangana wannan da'awar ga kanti mai suna. Ba mu tabbatar da shi a kan takardar jam'iyyar farko ba. (cnet.com)

MaganaFahimtar wannan a cikin daƙiƙa 60

Fara a nan

Mabuɗin sharuddan

Koyon Injin (ML)
Hanyoyin da ke ba da damar tsarin don koyan ƙira daga bayanai kuma su inganta akan lokaci.
Samfurin Gidauniya
Babban samfurin da aka riga aka horar wanda za'a iya daidaita shi zuwa ayyuka masu yawa na ƙasa.
Saitin bayanai
Tarin misalan da aka tsara ko ba a tsara su da aka yi amfani da su don horo, tabbatarwa, ko gwaji.
Gwada kankaMenene AI? Tambayoyi

Me ya faru

NASA da IBM sun ƙaddamar da Tsarin Lunar , samfurin AI na jama'a akan Hugging Face wanda aka tsara don nazarin bayanan wata don shirin Artemis. Samfurin, wanda aka horar da bayanai daga na'urori tara a cikin ayyuka hudu, ya yi iƙirarin ƙetare hanyoyin da ake da su har zuwa kashi 23 cikin ɗari wajen gano mahimman fasalin ƙasa kamar ramuka da ajiyar kankara.

NASA da IBM sun kaddamar da Samfurin Gidauniyar Lunar ranar Alhamis, inda suka samar da shi akan dandalin Hugging Face. A cewar CNET, an horar da samfurin a shekarun da suka gabata na bayanan lura da wata da masu bincike daga kungiyoyin biyu suka zaba don tallafawa shirin Artemis.

An ƙera ƙirar don gano tsarin bayanai a ma'auni a cikin kayan aiki daban-daban, tare da maye gurbin buƙatun da masana kimiyya suka yi a baya don bincika taswira da hannu ko amfani da ƙananan ƙira, ƙayyadaddun ƙirar koyon injin aiki. IBM da NASA sun bayyana cewa samfurin ya zarce hanyoyin da ake amfani da su da yawa har zuwa kashi 23 cikin 100 wajen gano mahimman fasalulluka kamar ramuka, tsaunuka masu aman wuta, da yuwuwar ajiyar kankara.

Tare da samfurin, ƙungiyoyin sun fitar da nau'in bayanan wata na farko mai buɗe ido, wanda ya haɗa dubun-dubatar taswirori da hotuna da na'urori tara suka tattara a cikin ayyukan wata huɗu. Campbell Watson, babban manajan bincike a IBM Research, ya bayyana cewa buɗaɗɗen samfurin yana ci gaba da al'adar samun damar kimiyya da haɗin gwiwa.

Bayanan tushe: cnet.com ↗

Me ya sa yake da mahimmanci

Wannan sakin yana ba wa al'ummar kimiyya tushen tushe mai tushe, buɗaɗɗen tushe don binciken wata, kawar da buƙatar gina samfuri daga karce don kowane takamaiman aiki. Ta hanyar haɗa shekarun da suka gabata na bayanai zuwa kayan aiki guda ɗaya mai sauƙi, yana haɓaka gano mahimman albarkatu kamar ajiyar kankara, waɗanda ke da mahimmanci don dorewar kasancewar ɗan adam akan wata. Wannan yunƙurin ya ci gaba da daɗaɗɗen al'adar samun dama ga kimiyya da haɗin gwiwa tsakanin ƙungiyoyin biyu.

Sakin yana ba da tushe guda ɗaya ga al'ummar kimiyyar duniya, ƙyale masu bincike su gina kan aikin da ake da su maimakon ƙirƙirar sabbin samfuran AI daga karce don kowane takamaiman tambaya ta wata.

Ta hanyar inganta daidaiton fasalin fasalin yanki, ƙirar kai tsaye tana goyan bayan buƙatun dabaru da kimiyya na shirin Artemis, musamman wajen gano albarkatu kamar ajiyar kankara waɗanda ke da mahimmanci ga kasancewar ɗan adam a nan gaba akan wata.

Wannan haɗin gwiwar yana nuna gagarumin canji a yadda hukumomin sararin samaniya ke amfani da AI, suna motsawa daga keɓe, ƙayyadaddun kayan aikin aiki zuwa cikakke, ƙirar tushe mai buɗewa wanda za'a iya daidaitawa don buƙatun bincike da yawa.

Interactive Mechanism

Ingantacciyar hanyar sadarwa: Yadda A zahiri yake Aiki

Bincika fasahar da ke bayan wannan ci gaban ta hanyar mu'amala.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
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Abin kallo na gaba

Wataƙila masu bincike za su fara daidaita samfurin zuwa sabbin tambayoyin wata, wanda zai iya haifar da sabbin bincike a taswirar albarkatu. Ayyukan samfurin a cikin tsare-tsaren manufa na ainihi idan aka kwatanta da rahotonsa na inganta kashi 23% akan hanyoyin da suka gabata zai zama ma'auni mai mahimmanci don amfani mai amfani a cikin shirin Artemis.

Amincewa da Samfurin Gidauniyar Lunar ta ƙungiyoyin bincike masu zaman kansu da aikace-aikacen sa ga sabbin tambayoyin wata waɗanda ba sa cikin ainihin bayanan horo.

Tabbaci mai zaman kansa na ingantaccen aikin kashi 23% akan hanyoyin da ake da su wajen gano fasalin yanayin wata.

Yadda buɗaɗɗen bayanan bayanai da ƙirar ke haɗawa tare da sauran ƙoƙarin NASA da IBM AI, kamar dangin Prithvi na samfura don yanayin yanayi da kallon ƙasa, don ƙirƙirar yanayin yanayi mai faɗi don kimiyyar duniya.

Jagorori masu alaƙa & tambayoyin tambayoyi

Menene AI?AI Model ya bayyanaMakomar AIGwada abin da kuka sani - gwada gwajin AI kyautaNemo kalmar AI a cikin ƙamus ɗin muBi samfurin AI na sakin tracker
An sami wannan yana da amfani?