Cov kws ua haujlwm ntawm Massachusetts Institute of Technology Artificial Intelligence Laboratory (MIT CSAIL) tau tsim "ntse nto" hu ua RFocus uas "ua tau zoo li daim iav lossis lo ntsiab muag" txhawm rau tsom cov xov tooj cua ntawm cov khoom siv xav tau.
Tam sim no, muaj qee qhov teeb meem nrog muab kev ruaj ntseg wireless txuas rau cov khoom siv me me, hauv qhov uas tsis muaj qhov chaw los tso cov kav hlau txais xov. Qhov no tuaj yeem raug kho los ntawm "ntse saum npoo" RFocus, qhov kev sim version uas ua rau lub zog nruab nrab ntawm lub teeb liab yuav luag 10 npaug, thaum tib lub sijhawm ua ob npaug ntawm lub peev xwm channel.
Hloov chaw ntawm ntau lub kav hlau txais xov monolithic, RFocus cov neeg tsim khoom siv ntau dua 3000 cov kav hlau txais xov me me, ntxiv rau lawv nrog cov software tsim nyog, vim tias lawv muaj peev xwm ua tiav cov teeb liab lub zog loj. Hauv lwm lo lus, RFocus ua haujlwm raws li lub teeb pom kev coj tus tswj tau tso rau pem hauv ntej ntawm cov neeg siv khoom kawg. Cov kws sau ntawv ntawm qhov project ntseeg hais tias xws li ib qho array yuav pheej yig los tsim, txij li tus nqi ntawm txhua tus kav hlau txais xov me me tsuas yog ob peb xees. Nws raug sau tseg tias RFocus qauv siv tsawg zog piv rau cov qauv siv. Nws muaj peev xwm ua tiav qhov txo qis ntawm kev siv hluav taws xob los ntawm kev tshem tawm cov teeb liab amplifiers los ntawm qhov system.
Cov kws sau ntawv ntawm qhov project ntseeg tias lawv tau tsim, tsim nyob rau hauv daim ntawv ntawm "thin wallpaper," tuaj yeem nrhiav tau daim ntawv thov dav, suav nrog hauv Is Taws Nem ntawm Yam (IoT) thiab thib tsib tiam kev sib txuas lus (5G), muab kev nthuav dav. ntawm cov teeb liab kis mus rau cov neeg siv khoom kawg. Nws tseem tsis tau paub meej tias thaum twg cov neeg tsim khoom xav tias yuav tso lawv cov kev tsim tawm ntawm kev lag luam kev lag luam. Txog rau tam sim no, lawv yuav tsum ua kom tiav qhov tsim ntawm cov khoom kawg, ua kom lub cev muaj txiaj ntsig zoo thiab txaus nyiam raws li qhov ua tau rau cov neeg yuav khoom.
Tau qhov twg los: 3d xov.ru