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AI and friends
Silvija Seres Oslo Business Region 30 March 2015
Silvija
Novi Sad – Oxford – Silicon Valley – Oslo
#2
Why AI?
1.TheFBIsaysithashackedintotheSanBernardinoshooter'siPhonewithoutApple’shelp.ThefactthattheFBIwasapparentlyabletogettheencrypteddatawithoutApple'shelpraisednewsecurityquesBonsaboutApple'sdevices.2.Instagramistryingtocalmdownsomeofitshighest-profileusersovernewchangesbeingintroducedtotheapp.Thephotoappplanstocompletelychangethewayitsfeedworksbyalgorithmicallyrankingphotos,insteadofshowingtheminreversechronologicalorder.3.Japan’sNTTDataCorphasagreedtobuyDell'sITconsulBngdivisionforover$3billion.NTTDataCorpwantstoexpandinNorthAmericaandimproveitsservicesbusiness.4.TheGoogle.comsearchenginecouldbeaccessedbrieflyinmainlandChinaonSunday.ChineseinternetusersputpostsonlinesayingtheywereabletouseGoogle’ssearchenginethroughGoogle.com,Google.com.hk,Google.com.vn,Google.com.sg.5.Oraclewants$9.3billionindamagesfromGoogleoverAndroid'suseofcertainpartsofJava,aprogramminglanguageacquiredbyOracle.ThenextroundofOracle'songoingcopyrightlawsuitagainstGooglewillbeginonMay9.6.MicrosoXhasadmiYeditfacessome"difficult"challengesinAIdesignaXeritschatbot,"Tay,"hadanoffensivemeltdownonsocialmedia.Tay,anAIbotaimedat18-to24-year-olds,wasdeacBvatedwithin24hoursofgoinglive.7.ThedeadlineforanyoneinterestedinmakinganoffertobuyYahoo'scorebusinessisApril11.YahoosentoutleYerstopotenBalbuyers.8.AmazonCEOJeffBezossaidhesignedthe$250millionWashingtonPostdealwithnoduediligence.Healsodidn'ttryandnegoBatetheprice.9.UberCEOTravisKalanicksaidhehas"noidea"whetherUberwillIPOinthenexttwoyears,threeyears,orfiveyears."I'mgoingtomakesureithappensaslateaspossible,"hesaidinaninterviewwithCNBConMonday.10.GoogleissBlldecliningtorevealwhositsonadedicatedboardforlookingattheethicsofarBficialintelligence.TheboardwassetupaXerGoogleacquiredLondonAIlabDeepMindin2014
#3
10 Things In Tech You Need To Know Today – March 29 2016, BI
Why AI? #4
10 Things In Tech You Need To Know Today – March 29 2016, BI
Sep2016:Theethicaldilemmaofbestowingmoralresponsibili;esonrobotscallsforrigoroussafetyandpreventa;vemeasuresthatarefail-safe,orthethreatsaretoosignificanttorisk.(Hawking,Musk,andGates)Feb.2016:AnewspeciesAnewversionofAtlas,designedtooperateoutdoorsandinsidebuildings.ItisspecializedformobilemanipulaBon.Itiselectricallypoweredandhydraulicallyactuated.ItusessensorsinitsbodyandlegstobalanceandLIDARandstereosensorsinitsheadtoavoidobstacles,assesstheterrain,helpwithnavigaBonandmanipulateobjects.ThisversionofAtlasisabout5'9"tall(aboutaheadshorterthantheDRCAtlas)andweighs180lbs.
What is AI?
According to the father of Artificial Intelligence, John McCarthy, AI is The science and engineering of making intelligent machines,
especially intelligent computer programs.
#5
Laws of Robotics
A Bot’s Mission A bot’s mission is to make human life better, to provide a
helping hand, and to do so proficiently and courteously.
#6 PrimerulesBotsmaynotharmhumans — including,anythingunlawful,illegal,spam,informaBontheXorfraud.Botswillobeyhumans — botsshouldfollowhumaninstrucBonstothebestoftheirabilityaslongasitdoesnotconflictwiththefirstrule.
Singularity
The Singularity is an era in which our intelligence will become increasingly nonbiological and trillions of times more powerful than it
is today—the dawning of a new civilization that will enable us to transcend our biological limitations and amplify our creativity.
#7 FuturistRay
KurzweilcitedvonNeumann'suseof
theterminaforewordtovon
Neumann'sclassicTheComputerandtheBrain.
Recursive self-improvement
Google/DeepMind Technologies, Feb 2015: In Video Pinball, the AI crushed human players with a system that was more
than 20 times better than a professional human game tester.
#8
Goals of AI
To Create Expert Systems − The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.
To Implement Human Intelligence in Machines − Creating systems that understand, think, learn, and behave like humans.
#9
What contributes to AI?
Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering
#10
Applications of AI?
Gaming,NaturalLanguageProcessing,VisionSystems,ExpertSystems,SpeechRecogniBon,IntelligentRobots
#11
History of AI
KarelKapek1923,IsacAsimov1945,AlanTuring1950,ClaudeShannon1950,JohnMcCarthy1956,…
#12
Les og se hard SciFi!
The Moon Is a Harsh Mistress (1966), with sentient Mike (self-awareness and sense of humor)
#13 EG:IsacAsimov,
RobertA.Heinleinand
ArthurC.Clarke,
Hal 9000
I am putting myself to the fullest possible use, which is all I think that any conscious entity can ever hope to do.
#14
Batty
I've seen things you people wouldn't believe. Attack ships on fire off the shoulder of Orion. I watched C-beams glitter in the dark near the Tannhauser gate. All those moments will be lost in time... like tears in rain... Time to die.
#15
R2-D2
All he can say is bleep bloop beep boop, yet is on the Smithsonian list of 101 Objects that Made America
#16
The Terminator
The machines rose from the ashes of the nuclear fire. Their war to exterminate mankind had raged for decades, but the final battle would not
be fought in the future. It would be fought here, in our present. Today...
#17
Spirit
Spirit went on to function effectively over twenty times longer than NASA planners expected.
#18
Watson
”Who is Stoker? I for one welcome our new computer overloads.”
#19
Self-driving cars
Legislation has been passed in four U.S. states and Washington, D.C. allowing driverless cars.
#20
AlphaGo
In order to play Go, you need to do more than just calculate. You need to actually think.
#21
The Domino's delivery bot
In Brisbane, Australia, the “Domino’s Robotic Unit,” or DRU for short, has been in development for the last eight months
#22
Sophia
Sophia, an eerily humanoid robot that can talk like a real person
#23
Carl’s Jr. Burger-bots
A franchise location where customers never even have to interact with another human being.
#24
Farmerbot
Farming is how human civilization started!
#25
Om den 4. industrielle revolusjonen
Denne gangen er det annerledes: eksponentiell, bredere, dypere.
#26
Digitalisering
Digital vekst er eksponentiell!
#27
Innovasjon
Innovasjon er uforutsigbar!
#28
Organisering
Kompleksitet eller innovasjon?
#29
HR og talenter
Tektoniske møter!
#30
Disrupsjon
Husk både den første og andre deriverte.
#31
Gammelt nytt
Skyen, big data, analytics of everything.
#32
Halvgammelt nytt
Sharing economy, crowdfunding, crowdsourcing.
#33
Nytt nytt
Robots, AI, VR, 3D, drones, nanotech, biotech.
#34
Verdikjedene endres
Polarisering, algoritmisering, individualisering
#35
Smarter machines, dumber humans?
Is Google Making Us Stoopid?
#36
Internet'seffectoncogniBon?
Samfunnet endres
Passiv eller aktiv deltagelse? Regulering?
#37
Nye organisasjoner og prosesser
Lean, Devops, Design thinking
#38
Nye kunder og forventninger
Hvem styrer utviklingen?
#39
Innovasjonstriggere
Eksellens og kombinatorisk kreativitet
#40
Veien videre #41 hYp://blog.hackerearth.com/2015/12/arBficial-intelligence-101-how-to-get-started.htmlHereareafewresourcesforyoutolearnandpracBceML–hYp://www.r2d3.us/visual-intro-to-machine-learning-part-1/hYps://www.coursera.org/learn/machine-learning(ByAndrewNg)hYps://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtmlhYps://www.edx.org/course/arBficial-intelligence-uc-berkeleyx-cs188-1x(SpeciallyforpracBceexcerciseinPython)hYps://www.udacity.com/course/intro-to-staBsBcs–st101hYps://www.udacity.com/course/intro-to-arBficial-intelligence–cs271(IncludesLogicandRoboBcs)hYp://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-arBficial-intelligence-fall-2010/SomeBooksforAI–hYp://aima.cs.berkeley.edu/hYp://wps.aw.com/wps/media/objects/5771/5909832/PDF/Luger_0136070477_1.pdfhYps://grey.colorado.edu/CompCogNeuro/index.php/CCNBook/MainhYp://psych.colorado.edu/~oreilly/comp_ex_cog_neuro.html
