Fon kammala ayyuka daban-daban waɗanda ke aiki ta hanyar madannai da linzamin kwamfuta. A lokacin, ya yi aiki akan takamaiman ayyuka da muka tsara don yin su, amma ba a gama ba da gaske ba. Hakan ya kai ni mataki na gaba, wato na zu.
Ja Jami’ar Stanford. Na fara karatun
Kigiri na uku tare da Farfesa Favilly a Stanford, na mai da hankali kan hangen nesa na kwamfuta da haɓakar.
Dhankali (Embodied AI). a canji na Sta Aiki Aiki Email Database nford Vision Lab, daga hangen nesa na kwamfuta wanda Farfesa Favilly ya jagoranta, kamar gane hotuna da bidiyo, zuwa madaidaicin hangen nesa na kwamfuta, wato, wakilai a cikin mahalli masu hulɗa Koyi don.
Lankali da aiki Wannan mahallin na iya
Gzama kama-da-wane (a cikin sim ulation) ko a du Aféierung niyar zahiri. Don haka wannan shine matakin PhD dina, wanda galibi game da canzawa daga hangen nesa zuwa ga hankali. Bayan PhD dina, na shiga Nvidia ku.
Gma tun lokacin 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 Intelligence Initiative ta Nvidia.
Za ku iya bayyana abin da wannan aikin yake a ta ba leads ƙaice da abin da kuke fatan cimma? Jim Fan tabbas. Tawagar da nake jagoranta a halin yanzu ana.
Hiranta GER, wacce ke tsaye ga Binciken Wakil
Dan 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 ayyuk.
San sun faru a cikin duniyar kama-da-wane, AI wasan kwaikwayo ne da kwaikwayo idan sun faru a cikin duniyar zahiri, robotics ne. A gaskiya ma, a taron GTC .a watan Maris na wannan shekara, Jensen ya nuna wani aikin da ake kira Project Groot a cikin.
Gjawabinsa na mahimmanci. ayyuka masu mahimmanci. Muna fatan gina kwakwalwar AI don da sauran su. Stephanie Zan Wane fa’ida kuke tsammanin Nvidia ke da shi wajen gina waɗannan.
