Raibhurari yemahara yeAI

Dzidza AI.Kusununguka nekusingaperi.

1019 magwara eChirungu, nzira dzakarongeka dzekudzidza, uye raibhurari yakavhurika — yakavakwa neyakazvimiririra 501(c)(3) isingabatsiri kuitira kuti chero munhu anzwisise AI yemazuva ano.

1019Mazano emahara
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~2 minPer gwara
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Tanga pano

Vashanu Mhedzisiro-yakavakirwa makosi

Kosi yega yega inosanganisira mhedzisiro yakajeka, hunyanzvi hwemepu, zviitiko zvekudzidzira, uye yakashandiswa capstone.

Musoro wenyaya

Bhurawuza nekumhanya

Svetukira munharaunda yaunofarira. Nzira yega yega ine akawanda akajeka-Chirungu magwaro.

Raibhurari yakazara

Zvese zvinotungamira

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Tekinoroji

Normalizing Flows

Normalizing inoyerera imhando yekugadzira inoshandura ruzha rwakareruka (seGaussian) kuita data rakaoma kuburikidza neketani ye invertible, inosiyaniswa ...

2 VerengaVerenga
Tekinoroji

Energy-Based Models

Energy-based modhi (EBMs) dzidza scalar 'simba' basa rinopa yakaderera kukosha kune inonzwisisika data uye yakakwirira kukosha kune isingabatike data, inotsanangura…

2 VerengaVerenga
Visual AI

Wasserstein GAN

Wasserstein GAN (WGAN) igadziriso yechinangwa cheGAN chekudzidzisa chinoshandisa chinhambwe cheWasserstein pachinzvimbo chekutanga min-max kurasikirwa.

2 VerengaVerenga
Visual AI

Conditional GANs

Conditional GANs (cGANs) anowedzera akajairwa maGAN nekupa rumwe ruzivo, senge kirasi label kana zvinyorwa, mune zvese jenareta uye kusarura.

2 VerengaVerenga
Visual AI

Pix2Pix Mufananidzo-ku-Mufananidzo Shanduro

Pix2Pix ine zvimiso GAN iyo inodzidza kushandura imwe mhando yemufananidzo kuenda kune imwe, sekushandura sketch kuita foto kana mepu kuita maonero esatellite.

2 VerengaVerenga
Visual AI

Mufananidzo Colorization

Mufananidzo colorization inoshandisa AI kuwedzera inonzwisisika, yechokwadi ruvara kune dema-uye-chena mafoto uye firimu.

2 VerengaVerenga
Visual AI

Chimiro kubva kuMotion

Chimiro kubva kuMotion (SfM) inovakazve 3D chiitiko geometry uye nzvimbo dzekamera kubva kune seti inopindirana yemifananidzo ye2D yakatorwa kubva kwakasiyana maonero.

2 VerengaVerenga
Visual AI

Multi-View Stereo

Multi-View Stereo (MVS) inotora akawanda akarukwa mafoto echiitiko uye inogadzira yakaomesesa 3D kuvaka patsva nekufungidzira kudzika kunenge pixel yega yega.

2 VerengaVerenga
Tekinoroji

Optimizer State Offloading kuCPU uye NVMe

Chirevo chekuchengetedza ndangariro chinomisa kuchengetwa kwebhuku rinorema rekudzidziswa (optimizer states, gradients, dzimwe nguva uremu) muCPU RAM kana paNVMe SSDs pachinzvimbo…

2 VerengaVerenga
Tekinoroji

Checkpoint Sharding uye Resumable Kudzidziswa

Matekinoroji ekuchengetedza modhi yekudzidziswa mamiriro muzvidimbu (shards) kuti hofori modhi dzinogona kuchengetwa uye kurodhazve pasina kukachidzwa mundangariro kana dhisiki miganho, nekudaro...

2 VerengaVerenga
Tekinoroji

GPU Memory Management uye Fragmentation

Maitiro eAI maitiro ekugovera, kushandisazve, uye kudzoreredza ndangariro shoma paGPU, uye nei masara mapeji (kupatsanurwa) achigona kukonzera kunze-kwe-ndangariro kukanganisa kunyangwe…

2 VerengaVerenga
Makambani

IBM Granite Models

Granite imhuri yeIBM yakavhurika, bhizinesi-yakatarisana neAI modhi yakavakirwa mabasa ebhizinesi senge kukodha, kunzwisisa kwegwaro, uye kudzoreredza.

2 VerengaVerenga

Wapedza kuverenga? Ndiratidze.

Tarisa zvawakadzidza nemusoro webvunzo, wobva waongorora makosi edu akarongwa kana shandira wakanangana nechitupa. Yese gwara rinogara rakasununguka kuverenga.

Dzidza AI - Manongedzo Emahara, Makosi uye Nzira dzekudzidza - Peji 23 ye85 | AI Understanding