Na mai da hankali kan hangen nesa na kwamfuta da haɓakar hankali (Embodied AI). A lokacin da nake Stanford daga 2016 zuwa 2021, na shaida canji na Stanford Vision Lab, daga hangen nesa na kwamfuta wanda Farfesa Favilly ya jagoranta, madaidaicin hangen nesa na kwamfuta, wato, wakilai a cikin mahall.
Imasu hulɗa Koyi don hankali
Da aiki. Wannan mahallin na iya zama kama-da-wane (a cikin simulation) ko a duniyar zahiri. Don haka wannan shine matakin PhD dina, wanda galibi game da canzawa daga hangen nesa zuwa ga hankali. Bayan P.
hD dina, na shiga Nvidia kuma tun lokacin Sayi Babban Sabis na SMS ina aiki a can. Na kawo abun ciki na bincike daga karatun digiri na zuwa Nvidia kuma na ci gaba da yin aiki a kan bayanan sirri har yau. Sonya Huang A halin yanzu kuna da alhakin Ƙaddamarwar Intelli.
Gence Initiative ta Nvidia Za ku iya
Bayyana abin da wannan aikin yake a taƙaice da abin Colombia mobile phone numbers details da kuke fatan cimma? Jim Fan tabbas. Tawagar da nake jagoranta a halin yanzu ana kiranta GER, wacce ke tsaye ga Binciken Wakilan Maɗaukaki na Janar. A taƙaice, ana iya taƙaita aikin ƙungiyarmu cikin kalmomi uku: “ƙirƙira ayyuka.” Domin muna gina ƙwararrun wakilai masu hankali, kuma waɗannan wakilai suna ɗaukar ayyuka a cikin duniyoyi daban-daban. Idan waɗannan ayyukan sun faru a cikin duniyar kama-da-wane, AI wasan kwaikwayo ne da kwaikwayo idan sun faru a cikin duniyar zahiri, rob.
otics ne. A gaskiya ma, a taron GTC a watan phone number th Maris na wannan shekara, Jensen ya nuna wani aikin da ake kira Project Groot a cikin jawabinsa na mahimmanci. ayyuka masu mahimmanci. Muna fatan gina kwakwalwar AI don mutum-mutumin mutum-mutumi da sauran su. Stephanie Zan Wane fa’ida kuke tsammanin Nvidia ke da shi wajen gina waɗannan fasahohin? Jim Fan Wannan tambaya ce mai kyau. Na farko, babu shakka game da albarkatun kwamfuta. Duk waɗannan samfuran asali suna buƙatar mahimman kayan aikin kwamfuta don.
Kima. Mun yi imani da “Dokar Sikeli
Wnda yayi kama da Dokar Sikeli ta LLM, amma har yanzu ba a yi nazarin Dokar Scaling na bayanan srri da na’ura mai kwakwalwa ba, don haka muna yin kokari a wannan fannin. Ƙarfin Nvidia na biyu shine fasahar analog. Nvidia kamfani ne na zane-zane kafin ya zama kamfanin AI, don haka muna da shekaru.
na gwaninta wajen gina simintin gyare-gyare (kamar simintin physics, ma’ana) da haɓakar GPU na ainihi. Don haka lokacin gina mutum-mutumi, muna amfani da simulation da yawa. Stephanie Zan Dabarun kwaikwaiyo yana da ban sha’awa sosai. Me yasa kuke tunanin yawancin masana’antu har yanzu suna mai da hankali sosai kan bayanan duniyar gaske kuma suna ɗaukar kishiyar dabara? Jim Fan Ee, ina tsammanin muna buƙatar kowane irin bayanai. Dogaro da siminti ko bayanan gaskiya bai wadatar ba. Don haka a cikin GER (Rukunin Binciken W.
akilin Ƙaddamarwa), muna kusan raba dabarun bayanan mu zuwa sassa uku: Na farko shine bayanan sikelin Intanet, kamar tags da bidiyo akan layi. Na biyu shine bayanan kwaikwayo Muna amfani da kayan aikin kwaikwayo na Nvidia don samar da adadi mai yawa na bayanan roba. Na uku shine ainihin bayanan.
