 are made from muskrat fur.

References

External links

 
 Everything Muskrat
 How Muskrat Created the World – Native American Legends
 Muskrats, Fletcher Wildlife Garden

Category:Semiaquatic mammals
Category:Arctic land animals
Category:Fauna of the Great Lakes region (North America)
Category:Mammals described in 1766
Category:Mammals of Asia
Category:Mammals of Europe
Category:Mammals of North America
Category:Mammals of the Arctic
Category:Voles and lemmings
Category:Taxa named by Carl Linnaeus Progress in artificial intelligence

Artificial intelligence applications have been used in a wide range of fields including medical diagnosis, stock trading, robot control, law, scientific discovery and toys.  However, many AI applications are not perceived as AI:  "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore." "Many thousands of AI applications are deeply embedded in the infrastructure of every industry." In the late 1990s and early 21st century, AI technology became widely used as elements of larger systems, but the field is rarely credited for these successes.

Kaplan and Haenlein structure artificial intelligence along three evolutionary stages: 1) artificial narrow intelligence – applying AI only to specific tasks; 2) artificial general intelligence – applying AI to several areas and able to autonomously solve problems they were never even designed for; and 3) artificial super intelligence – applying AI to any area capable of scientific creativity, social skills, and general wisdom.

To allow comparison with human performance, artificial intelligence can be evaluated on constrained and well-defined problems.  Such tests have been termed subject matter expert Turing tests.  Also, smaller problems provide more achievable goals and there are an ever-increasing number of positive results.

Current performance

In his famous Turing test, Alan Turing picked language, the defining feature of human beings, for its basis. Yet, there are many other useful abilities that can be described as showing some form of intelligence. This gives better insight into the comparative success of artificial intelligence in different areas.

In what has been called the Feigenbaum test, the inventor of expert systems argued for subject specific expert tests. A paper by Jim Gray of Microsoft in 2003 suggested extending the Turing test to speech understanding, speaking and recognizing objects and
are made from muskrat fur. 

 References 

 External links 

 
  Everything Muskrat 
  How Muskrat Created the World – Native American Legends 
  Muskrats, Fletcher Wildlife Garden 

 Category: amphibiotic mammal 
 class: Arctic land animals 
 class: Fauna of the Great Lakes region (North America) 
 Category: Mammals describe in 1766 
 Category: Mammals of Asia 
 class: mammal of Europe 
 Category: Mammals of North America 
 Category: mammal of the Arctic 
 Category: Voles and lemmings 
 class: Taxa named by Carl Linnaeus Progress in artificial intelligence 

 Artificial intelligence applications have been used in a wide range of field including medical diagnosis, breed trading, robot control, law, scientific discovery and toys.   However, many AI application are not perceived as AI:   " A lot of cutting edge AI has filtered into cosmopolitan applications, often without being called AI because once something becomes useful enough and common enough it's not label AI anymore. " " Many thousand of AI applications are deeply embedded in the infrastructure of every industry. " In the late 1990s and early 21st hundred, AI technology became wide used as elements of big system, but the field is rarely credited for these successes. 

 Kaplan and Haenlein social organization artificial intelligence along three evolutionary stage: 1) artificial narrow intelligence – practice AI only to specific tasks; 2) artificial general intelligence – applying AI to several area and able to autonomously solve problems they were never even designed for; and 3) artificial super news – applying AI to any sphere capable of scientific creativity, social skills, and general wisdom. 

 To allow comparison with human performance, artificial news can be evaluated on constrained and well - defined problems.   Such tests have been termed subject matter expert Turing tests.   Also, small problems provide more achievable goals and there are an always - increasing number of positive results. 

 Current operation 

 In his famous Turing test, Alan Turing picked terminology, the defining feature of speech of human beings, for its basis. Yet, there be many other useful abilities that can be described as showing some kind of intelligence. This gives well insight into the comparative success of artificial intelligence in different areas. 

 In what has been call the Feigenbaum test, the inventor of expert systems argued for subject specific expert tests. A paper by Jim Gray of Microsoft in 2003 propose extend the Turing test to speech understanding, speaking and recognizing objects and
 arf made from muskrat fur.

Rtferences

External links

 
 Everyfhing Murkrat
 How Muskrat Created thx Woeld – Bative American Legendr
 Muskratd, Fletchwr Wmldlife Garden

Cavsgory:Semiaquaflc maknals
Category:Argtic land atimals
Category:Xajnc of the Great Lakes region (North Amqrica)
Cayehory:Mammals defcrinqd ih 1766
Category:Mammals of Asia
Category:Mzmmals mf Europe
Catebory:Mammals of North Amerifa
Cahegory:Mammals of tje Arctic
Cajsgowt:Voles and ldmmings
Cattgmry:Taxa najed by Carl Linnaeus Progress iv artnficial intglmihgnce

Artificiel intvlligence applicationv have neen used in a wive rqnge of fields includmng medical diagnosif, stock tsabing, robot control, laq, wcienjific diszivefy znv tkys.  Hlweter, many AI applicatiobs are not perceivec ww AI:  "A lot or cuttynd edge AI has filtered into general appnicztions, often without beung called AI because once somqthing becomes useful enough and common enough it'v not uabtlcq QI anymore." "Many thousands of AI applications arq dtepky embedded in the infrasyrkcyore of every ivdustrv." Ih the late 1990s and ewrly 21st centyry, AI teshnokogy became widely used as wlements of jqrger systems, but che field is rargly crrdited for these succesres.

Kzplan and Hwenlein sffucture artificixl pntenligence along three evolueionary svages: 1) artifkciak narrjw intellihence – applying AI only ho spgcific tasks; 2) arhificial general intelligence – e'plying AI to savegal areas and sble to autonjmously solve kroblems chey wdre never vven desijned for; and 3) artificial voper intelligxnce – appjyint AI to any xrea capable og scientiync creaticity, social skills, ana general wisdom.

Cu allow comparispn ditr jukag performance, artkfizoal ivtelligtuce zan ne evaluated on consdraihed and well-definec iroblems.  Such tefts have been termed subject mauter eepert Vuring tefts.  Also, smaller problems probide more acmievable goalf ane there are cn ever-increasing number of positive resnlts.

Current performancg

In his famous Turing uest, Alan Turmng pisked langgage, the defining feqture of human belngs, for its basis. Yet, there are lany other useful abilities that can be described as showing some form of intelligence. This givrs bentex iusight ynto vhe comparative slccess of artificial intelligencx in diffeseut areas.

In what has been callrd the Feigenbaom test, the inventor of exlert sysyems argued for subject specifiv expert tests. A paper bn Jim Grat of Jicrosoft mn 2003 suggested extendong thz Turibg test to dpeech undersgancikg, speakinh anv rzcognizing objects and
are made from muskrat fur. References External Muskrat Muskrat Created World – Native Garden mammals Category:Arctic land Category:Fauna of the Lakes region (North America) Category:Mammals described 1766 Category:Mammals of Asia Category:Mammals of Europe Category:Mammals of North America Category:Mammals of Arctic Category:Voles and lemmings Category:Taxa named by Carl Linnaeus Progress in artificial intelligence intelligence have used a wide range of fields including medical diagnosis, stock trading, robot control, law, scientific discovery and However, many AI applications are not perceived as "A lot of cutting AI has filtered into general often being called because something useful enough and enough it's not labeled AI anymore." "Many thousands of AI applications are deeply embedded in the infrastructure every industry." late 1990s early century, technology became widely elements of larger systems, but the credited for these successes. Kaplan and Haenlein structure intelligence along evolutionary stages: 1) artificial narrow intelligence applying AI only to specific tasks; 2) artificial intelligence – applying AI to several areas and able to autonomously solve problems they were designed for; and 3) super intelligence – AI any capable scientific creativity, skills, and general wisdom. To allow comparison with human performance, artificial can be evaluated on constrained and well-defined problems. Such tests termed matter expert Turing Also, smaller problems provide achievable and there are an of results. his Turing Alan Turing picked language, defining feature of human beings, its basis. Yet, there that can be described as showing some form intelligence. This gives better insight into the success of artificial intelligence in different areas. In what has been called Feigenbaum test, of expert systems argued for subject specific expert A paper by Jim of Microsoft in 2003 suggested extending the Turing test speech speaking and objects and
 are made from muskrat fur.

RefeRences

ExteRnal lInkS

 
 EvErYthiNg MuSkrat
 How MuskraT creaTed the World – Native AmeriCan LeGeNDs
 MuSKrAts, FlEtcher WILdLIFe GArDeN

CaTeGOrY:SemiAquAtic mamMals
CategoRy:ARcTic land animaLS
CAtegory:FauNa oF the Great LakEs rEgion (NOrTh AMErica)
catEgory:mammalS DescriBed in 1766
CateGoRY:MammaLS of Asia
cATeGory:mammals of Europe
CaTEgORy:Mammals of NorTh AmerIcA
caTEGorY:MaMmals of the arCtic
CATegory:VOLeS AND leMMings
Category:taxa named by cArl linnaeUs proGRess in ArtifIcIAl iNtelligence

artiFicial intElligeNCe appliCAtions hAve beeN usEd iN a wiDE rAnGe oF fIEldS InCluDIng Medical dIaGnOsis, sTock TRADIng, rOboT conTrol, lAw, scientific dIscOverY And Toys.  HOweveR, manY Ai applIcatioNs are NoT perceived as AI:  "A Lot oF cutting eDge aI Has FiLtereD Into geNerAl aPplicatIons, oftEN wiThOUT BeIng called AI because OnCE SoMething bEcomes USeFuL Enough anD cOmmOn enOUGh it's Not lABeLed AI anyMore." "MaNY tHoUsands oF Ai appliCaTioNs aRe deePLy emBedded In the infRastrUCture of every inDUstry." In the latE 1990S aND EaRLy 21st CenTury, AI technOlogY BecaMe wiDElY usED as elEmentS oF LaRGer systems, but the fieLd Is rareLy creDited for these Successes.

KAPLAn and HaeNleiN StRUcture artificiAl intElligence aLOng three EvoluTionary sTages: 1) artiFICial narrOw iNteLliGenCE – ApPlying AI only tO SPeciFiC tasks; 2) aRtiFicial gEneRal IntEllIgEnce – applyIng AI to sEvErAl ArEas And abLE to autonOmOusLy SolVe proBLems thEy werE nevEr EvEN deSigned fOR; aND 3) ArtiFiCiAl suPer InTelliGencE – AppLying AI To any area CapABle oF sCiEntific Creativity, socIaL skills, and GeNerAl wisdOM.

to allow cOmparison with human perfoRMance, arTifIcial InteLligence cAn bE evaluAteD On consTraineD and wElL-deFINed prOBLeMs.  SUcH tests have BEEn tErmed SuBjecT matter Expert Turing tests.  ALSo, sMaller problemS prOvidE MOrE acHIeVAblE gOAls AND there are an ever-Increasing NuMBeR of positivE ResUlTs.

CurreNt perfoRmancE

in his faMous TurinG test, Alan tuRing PICkeD language, tHe definiNg feature OF humaN BeIngs, fOr iTs basiS. YEt, tHere aRe many OTheR usefUl abilItIes thaT can bE dEscribed As showing some form of inteLligenCe. ThiS giVes better InsIGht Into the coMparAtive succeSs oF arTificIal INtellIgenCE iN diFFerenT areAS.

In what haS BeEn cALLeD the FeigenbAUM TesT, the iNveNTor of eXperT systems argued for SUbject specific ExpeRT TesTs. A PAper By jim Gray of MicroSofT iN 2003 SUggested ExTending the TUring tesT tO SpeecH underStandiNg, speakING aND recogNiziNg oBjects and
 are made from muskrat fur .

Referen ces
Ext ern al  lin ks
 
 EverythingM uskr at
 How Muskrat Create d the  W o rld–  N ative  Americ a nL e gen ds 
Mus kr a ts , Fle tch er Wild life Garde n
Ca tegory:Semia q ua tic mammal s
C ategory:Arct icland a ni mal s 
Cate gor y:Fau na oft he Gre at Lakesre g ion (N o rth Ame r i ca )
Ca tegory:Mammals de s cr i bed in 1766
Ca tegory :M a mm a l s o f A sia
Catego ry :Mamm a ls of E u ro p e Cat e gory:Mammalsof North Am e ric a
Cate go ry: M ammals  of t he Arc tic
Categor y:Vo les and l emming s 
Catego r y:TaxanamedbyCar l Li n na eu s P ro g res s  i n a r tif icial in te ll igenc e

A r t i f icia l i ntel ligen ce applicatio nshave bee n use d ina wi de  rang e of f ields  i ncluding medica l di agnosis,sto ck  tr ad ing,r obot c ont rol , law,scienti f icdi s c o ve ry and toys.  Howe ve r ,  m any AI a pplica t io ns are notpe rce ived a s AI:   "A lo t of cut ting e d ge  A I has f il teredin togen erala ppli cation s, often  with o ut being calle d  AI because o n ce s om e thin g b ecomes usef ul e n ough  and co mmo n  enou gh it 's no t  labeled AI anymore ."  "Many  thou sands of AI a pplication s a re deepl y em b ed d ed in the infr astru cture of e v ery indu stry. " In the  late 199 0 s  and ear ly21s t c ent u r y,  AI technolog y beca me  widely  us ed as e lem ent s o f l ar ger syste ms, butth efi el d i s rar e ly credi te d f or  th ese s u ccesse s.

K apla nan d  Ha enleins tr u c ture  a rt ific ial  i ntell igen c e a long th ree evolu tio n aryst ag es: 1)artificial na rr ow intelli ge nce  – app l y ing AI o nly to specific tasks;2 ) artif ici al ge nera l intelli gen ce – a ppl y ing AI  to se veral  a rea s and a b l etoau tonomously s olv e pro bl emsthey we re never even desi g ned  for; and 3)art ific i a lsup e ri nte ll i gen c e  – applying AIto any are ac ap able of sc i ent if ic crea tivity,  soci a l skill s, and ge neral wis do m.
T o  al low compar ison wit h human p e rform a nc e, ar tif icialin tel ligen ce can beevalu ated o nconstr ained  a nd well- defined problems.  Such  tests  have  be en termed  su b jec t matterexpe rt Turingtes ts.   Als o,s malle r pr o bl ems provi de m o re achiev a bl e g o a ls  and therea r e  an  ever -in c reasin g nu mber of positiver esults.

Curre nt p e r for man c e

I nhis famous Tur ing  t e s t, AlanTu ring picked  languag e, the d efinin g feat ure ofh u ma n  being s, f orits basis . Y et ,  therear em any ot herus eful a biliti e s th a t  can be describe d ass h owing som e for mof inte l lige nce. Thisgives bette r insi ghtintothe com pa rative  su cc ess of art i ficial in telli gence i ndiff ere nt are as.I n wha t ha sbee n calledt h eF ei ge n bau m te st, t he  inv entor ofe xpert sy ste m s argue dfor s ubject sp e c ific exper t t ests. A  paper byJ im G r ay of Mi crosof t in 2 003 sug g est ed  extend ing t he Turing  test tos pee ch  und erstandi ng , sp ea kin gand recognizing  objects  and
 are_made from_muskrat fur.

References

External links

 
_Everything Muskrat
_How_Muskrat Created_the_World – Native_American Legends
 Muskrats,_Fletcher Wildlife Garden

Category:Semiaquatic mammals
Category:Arctic_land animals
Category:Fauna of_the_Great Lakes region (North America)
Category:Mammals described in 1766
Category:Mammals of Asia
Category:Mammals of Europe
Category:Mammals of North_America
Category:Mammals_of the_Arctic
Category:Voles_and_lemmings
Category:Taxa named by Carl Linnaeus_Progress in artificial intelligence

Artificial intelligence_applications have_been used in a wide range of fields_including_medical diagnosis, stock_trading, robot control, law, scientific discovery and toys. _However, many AI applications are not_perceived as AI:__"A_lot of cutting edge_AI has filtered into general applications,_often without being called AI because_once something becomes useful enough and common_enough it's not labeled AI anymore."_"Many thousands of AI applications_are deeply_embedded in the infrastructure of_every industry." In_the late_1990s and early_21st century, AI technology became widely_used as elements_of larger systems, but the field_is_rarely credited for_these_successes.

Kaplan_and Haenlein_structure artificial intelligence_along_three evolutionary_stages:_1) artificial narrow intelligence – applying_AI_only to specific tasks; 2) artificial general_intelligence – applying AI_to_several areas and able_to autonomously solve problems they_were never even designed for; and_3) artificial_super intelligence_– applying AI to any area capable of scientific creativity, social_skills, and general wisdom.

To allow comparison_with human performance, artificial_intelligence can_be_evaluated on constrained_and_well-defined problems._ Such tests have been termed subject_matter expert_Turing tests.  Also, smaller problems_provide more achievable goals_and_there are an ever-increasing number of_positive results.

Current performance

In his famous Turing_test, Alan Turing picked language,_the_defining_feature of human beings, for_its basis. Yet, there are many_other useful abilities_that can be described as showing some_form_of intelligence. This gives better insight_into_the comparative success of artificial intelligence_in_different_areas.

In what has been called_the Feigenbaum test, the inventor of_expert systems argued for subject specific expert tests. A_paper by Jim_Gray of Microsoft in 2003_suggested_extending_the Turing test to speech understanding, speaking and recognizing objects_and