Nick Deheck Chelsey Eglseder Joshua Lewis David Summey What is Artificial Intelligence Simulation of human intelligence Alexa Watson Machines learn from experience Netflix Ability to adjust to new inputs and perform humanlike tasks ID: 667967 Download PresentationTags :
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Presentation on theme: "Artificial Intelligence Brittany Coffer"— Presentation transcript
What is Artificial Intelligence?
Simulation of human intelligence
"Machines learn from experienceNetflixAbility to adjust to new inputs and perform human-like tasksDriver-less carsAllows machines to learn without explicit directionsAutomates data modelingUberSlide3
Why Do We Need AI?
Usefulness in any industry
Potential to remove human error Problem Solving Adds intelligence to existing products Automates repetitive learning and discovery through data Achieves high accuracy through deep neural networks Gets the most out of dataUnbiased Data ResultsEliminates impromptu data manipulationSlide4
Limitations & Challenges
Designed to perform a defined task
Limited to specific industriesTechnology unlimitedCould fall into "wrong hands"Currently no overarching laws/regulationsAI could be programmed to do something beneficial, but...Arrives at a devastating conclusion"Who do I hit?" scenario
Rapidly escalating international competition over AI
Wars of future will use algorithms like ammunitionSlide5
Ability to detect colorectal cancer early with 86% accuracy
Significant as colorectal cancer is the second deadliest form of cancer, behind lung cancer.
Ability to detect brain bleeds and tuberculosis
Behavior-based security system
Smart Tissue Autonomous Robot (STAR)
Potentially save lives
Better patient experience
Difficulty in normalizing data sets Slide6
Positive Train Control
Reduce human-factor incidents
GE Smart LocomotivesIncrease efficiency and velocityPredictive Signal SystemsDetect problem in signals before accidents occurFacial RecognitionCommuter rail Merchandise railTrain Delay ReportingIncrease on-time performance LimitationsNot shared
F-35 is example of human-machine collaboration
Automated Recovery/EgressALIS (Autonomic Logistics Information System)Machine LearningIdentify correct targets—reduces risksSolve logistics challengesSpeeds weapon developmentSoftware ProcessingAnalyzes large data quickly
Support war games and generate countless scenarios
Defense Industry Cont.
Challenges/Limitations of AI
Relatively new technologiesLifecycle maintenanceAI alone with not solve all concernsCollaboration of human-system neededOperator still neededDecision making Unknown gapsCyber security Trust factorSlide9
Law Enforcement Industry
Capable identifying: Key Words in Speech, Facial and Object Features
Provides more thorough search, enables investigators to "multi-task"
Identifies only what it has been "shown"
Learning phase is slow, many objects are very similar
Identification across accents (language), angles (photos), and video clarity
Dedicated work by users to detail searches and expand database
Exposure is keySlide10