Robust AI applications

rtfcl ntllgnc (), n ts brdst sns, s ntllgnc xhbtd by mchns, prtclrly cmptr systms. t s fld f rsrch n cmptr scnc tht dvlps nd stds mthds nd sftwr tht nbl mchns t prcv thr nvrnmnt nd s lrnng nd ntllgnc t tk ctns tht mxmz thr chncs f chvng dfnd gls. Sch mchns my b clld s. Hgh-prfl pplctns f ncld dvncd wb srch ngns (.g., Ggl Srch); rcmmndtn systms (sd by YTb, mzn, nd Ntflx); vrtl ssstnts (.g., Ggl ssstnt, Sr, nd lx); tnms vhcls (.g., Wym); gnrtv nd crtv tls (.g., ChtGPT nd rt); nd sprhmn ply nd nlyss n strtgy gms (.g., chss nd G). Hwvr, mny pplctns r nt prcvd s : " lt f cttng dg hs fltrd nt gnrl pplctns, ftn wtht bng clld bcs nc smthng bcms sfl ngh nd cmmn ngh t's nt lbld nymr." Vrs sbflds f rsrch r cntrd rnd prtclr gls nd th s f prtclr tls. Th trdtnl gls f rsrch ncld rsnng, knwldg rprsnttn, plnnng, lrnng, ntrl lngg prcssng, prcptn, nd spprt fr rbtcs. Gnrl ntllgnc—th blty t cmplt ny tsk prfrmd by hmn n n t lst ql lvl—s mng th fld's lng-trm gls. T rch ths gls, rsrchrs hv dptd nd ntgrtd wd rng f tchnqs, ncldng srch nd mthmtcl ptmztn, frml lgc, rtfcl nrl ntwrks, nd mthds bsd n sttstcs, prtns rsrch, nd cnmcs. ls drws pn psychlgy, lngstcs, phlsphy, nrscnc, nd thr flds. rtfcl ntllgnc ws fndd s n cdmc dscpln n 1956, nd th fld wnt thrgh mltpl cycls f ptmsm thrght ts hstry, fllwd by prds f dsppntmnt nd lss f fndng, knwn s wntrs. Fndng nd ntrst vstly ncrsd ftr 2012 whn dp lrnng tprfrmd prvs tchnqs. Ths grwth cclrtd frthr ftr 2017 wth th trnsfrmr rchtctr, nd by th rly 2020s mny bllns f dllrs wr bng nvstd n nd th fld xprncd rpd ngng prgrss n wht hs bcm knwn s th bm. Th mrgnc f dvncd gnrtv n th mdst f th bm nd ts blty t crt nd mdfy cntnt xpsd svrl nntndd cnsqncs nd hrms n th prsnt nd rsd cncrns bt th rsks f nd ts lng-trm ffcts n th ftr, prmptng dscssns bt rgltry plcs t nsr th sfty nd bnfts f th tchnlgy.