,9 ! ,s5ate ( ! ,unit$ ,/ates1 ,decemb] #ab1 #bjbd4 ,am5dm5ts3 ,t ! bill f ! ,h\se ( ,repres5tatives 7,h4,r4 #hffc7 entitl$ ,an ,act to require ! ,sci5ce & ,te*nology ,directorate 9 ! ,dep>tm5t ( ,homel& ,security to develop great] capacity to detect1 id5tify1 & disrupt illicit sub/ances 9 v l[ conc5trations41 d pass ) ! foll[+ ,/rike all aft] ! enact+ clause & ins]t ! foll[+3 #a4 ,%ort titles ,?is ,act may be cit$ z ! ,detection ,equipm5t & ,te*nology ,evaluation to ,c\nt] ! ,?reat ( ,f5tanyl & ,xylaz9e ,act ( #bjbd or ! ,,detect ,f5tanyl & ,xylaz9e ,act ( #bjbd4 #b4 ,enhanc+ ! capacity to detect & id5tify drugs su* z f5tanyl & xylaz9e ,section #cjb ( ! ,homel& ,security ,act ( #bjjb 7#f ,u4,s4,c4 #ahb7 is am5d$-- 7#a7 9 p>agraph 7#ac71 by /rik+ & at ! end2 7#b7 9 p>agraph 7#ad71 by /rik+ ! p]iod at ! end & ins]t+ 2 &2 & 7#c7 by add+ at ! end ! foll[+3 7#ae7 c>ry+ out1 9 coord9ation ) ! ,drug ,en=cem5t ,adm9i/ration1 rese>*1 developm5t1 te/+1 evaluation1 & co/-b5efit analyses to improve ! safety1 effectiv5ess1 & effici5cy ( equipm5t & ! effectiv5ess & effici5cy ( ref]5ce libr>ies = use by ,f$]al1 ,/ate1 local1 ,tribal1 & t]ritorial law en=cem5t ag5cies = ! accurate detection ( drugs1 su* z f5tanyl & xylaz9e1 includ+-- 7,a7 portable equipm5t t c detect & id5tify drugs ) m9imal or no h&l+ ( ! sample2 7,b7 equipm5t t c sep>ate complex mixtures conta9+ l[ conc5trations ( drugs & high conc5trations ( cutt+ ag5ts into _! compon5t p>ts to enable signature extraction = field id5tification & detection2 & 7,c7 te*nologies t use ma*9e le>n+ or artificial intellig5ce 7z def9$ 9 section #ejjb ( ! ,national ,artificial ,intellig5ce ,initiative ,act ( #bjbj 7#ae ,u4,s4,c4 #idja77 & o!r te*niques to pr$ict :e!r ! sub/ances 9 a sample are controll$ sub/ance analogues or o!r new psy*oactive sub/ances n yet includ$ 9 available ref]5ce libr>ies4 4 #c4 ,requirem5ts ,9 c>ry+ out section #cjb7ae7 ( ! ,homel& ,security ,act ( #bjjb1 z add$ by section #b1 ! ,"u ,secret>y = ,sci5ce & ,te*nology %all-- 7#a7 foll[ ! recomm5dations1 guidel9es1 & be/ practices describ$ 9 ! ,artificial ,intellig5ce ,risk ,managem5t ,framework 7,,ni/ ,,ai #ajj-a7 or any successor docum5t publi%$ by ! ,national ,in/itute ( ,/&>ds & ,te*nology2 & 7#b7 e/abli% ! ,directorate ( ,sci5ce & ,te*nology's rese>*1 developm5t1 te/+1 evaluation1 & co/-b5efit analysis priorities "u su* section #cjb7ae7 bas$ on ! late/ available in=mation1 includ+ specific drugs id5tifi$ z ?reats 9-- 7,a7 ! late/ ,homel& ,?reat ,assessm5t publi%$ by ! ,dep>tm5t ( ,homel& ,security2 7,b7 ! late/ ,/ate & ,t]ritory ,report on ,endur+ & ,em]g+ ,?reats publi%$ by ! ,drug ,en=cem5t ,adm9i/ration2 or 7,c7 any successor docum5ts4 #d4 ,rule ( con/ruction ,no?+ 9 ?is ,act may be con/ru$ to limit ! au?ority ( ag5cies curr5tly manag+1 ov]see+1 or o!rwise involv$ 9 drug equipm5t & ref]5ce libr>ies4 ,am5d ! title s z to read3 ,an ,act to require ! ,sci5ce & ,te*nology ,directorate 9 ! ,dep>tm5t ( ,homel& ,security to develop great] capacity to detect & id5tify illicit sub/ances 9 v l[ conc5trations44 ,secret>y