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Introduction

What is AI?​

  • Coined in 1956: "The sceicne and engineering of making intelligent machines"
  • A branch of computer science and engineering that deals wiht intellegient behaviour, learning and adapatation in machines
  • Create a computer mind that cna think like a human
  • Intelligence demonstrated by machines, as opposed ot natural intelligence displayed by animals including humans

Game playing​

Alpha Go - Made decisions on the go, and was able to beat proffesional human

  • Go player. Knowledge "learned" by ANN: deep learning
  • Tree search May 11th 1997 - Beat game of chess against world championen

Why study AI?​

Games are intelligent activities It is very easy to measure success or failure Do not require large amounts of knowledge Solvable by straightforward search from the starting state to a winning position, Tree search

Milestones in AI​

1943 - Turing Test 1956 - Birth of AI, term coined

  • Top-down approach: pre-processed to do things
  • Bottom-up approach: simulate brains, learn new behaviours 1970 - AI Winter
  • Neurons not able to implement basic functions
  • Machine translations but would sometimes failed 1990 - ANN 1997 - Deep Blue - AI game milestone 2011 - IBM Watson - Won US quiz show 2014 - Turning test passed 2016 - Alpha Go

Courseinfo​

Theory​

Define what we mean by AI Understand the basics of a range of AI techniques Insigest of AI history Aware of current AI applicaitons

Practice​

Knowledge and practice to implement some AI techniques Becomes familiar with AI software used across different courses