Tech Guide 4

• artificial intelligence: the theory and development of information systems able to perform tasks that normally require human intelligence
• Turing test proposes a scenario in which a man and a computer both pretend to be women or men, and a human interviewer has to identify which is the real human. It tests a machines ability to exhibit intelligent behaviour
• strong ai: hypothetical artificial intelligence that matches or exceeds human intelligence - the intelligence of a machine that could successfully perform any intellectual task that a human can
• weak ai/narrow ai: performs a useful and specific function that once required human intelligence to perform, and does so at human levels or better
• technological advancements have led to advancements in artificial intelligence:

  • advancements in chip technology
  • big data
  • internet and cloud computing
  • improved algorithm
• first stage ai applications: consist mainly of recommendation systems

  they learn vast amounts of data to personalize online content for each of us
• second stage ai applications: analyze the data that traditional companies have collected and labelled in the past
• third stage ai applications: analyze additional data from smart devices and sensors

  these sensor enabled smart devices transform physical only entities into physical/digital entities
• fourth stage ai applications: integrate the three stages and enable machines to sense and respond to the world around them
• expert systems: computer systems that attempt to mimic human experts by applying expertise in a specific domain. it can either support decision makers or completely replace them
• expert system problems:

  • transferring domain expertise from human experts to the expert system can be difficult because humans cannot always explain how they know what they know
  • automating the process may not be possible
  • potential liability
• machine learning: the ability to accurately perform new, unseen tasks, built on known properties learned from training or historical data that are labelled
• deep learning: subset of machine learning in which the system discovers new patterns without being exposed to labelled historical data or training data
• neural networks: a set of virtual neurons or central processing units that work in parallel in an attempt to simulate the way the human brain works, in a simplified form
• computer vision: the ability of information systems to identify objexts, scenes, and activities in images
• natural language processing: the ability of information systems to work with text the way that humans do
• speech recognition: focuses on automatically and accurately transcribing human speech
• intelligent agent: a software program that assists you, or acts on your behalf, in performing repetitive computer related tasks
• information agents: search for information and display it to users
• buyer agents/shopping bot: helps customers find the products and services they need on a website
• monitoring and surveillance agents/predictive agents: constantly observe and report on some item of interest
• user agents/personal agents: take action on your behalf
• what is ai?


  a subfield of computer science that studies the thought process of humans, recreating effects of those processes through information systems
• ai is the theory and development of technology that performs tasks that normally require human intelligence

  • tasks that humans perform, not how humans think
• aspects of robotics

  • mechanical construction
  • electrical components
  • computer programming
• flippy robot on a rail at white castle

  • robot to cook food using ai and robotics