Chapter 5 Flashcards
(21 cards)
Automation
bunch of machines doing a repetitive task without human intervention.
AI
simulation of intelligent behavior in computers, in contrast to the natural intelligence displayed by humans.
Relation between automation and AI
AI helps improve the automation process by learning and improving itself.
Make selections and decisions based on different factors.
Types of AI
Narrow Artificial Intelligence – Still here < human
General Artificial Intelligence = human
Super Artificial Intelligence > human
Narrow AI
good at performing a single task within a limited context/field.
Examples:
Playing chess
Making purchase suggestions
Google’s translation engine
General Artificial Intelligence
strong AI
entails understanding and reasoning its environment as a human would:
How you perceive things
Juggle between multiple unrelated thoughts
Making use of memories when making a decision
True or False
Humans are not able to process data as fast as the computers, and can’t solve problems without getting into the details
False
Humans can solve problems without getting into the details
True or False
It’s very hard to teach a computer to invent something that isn’t there.
True
Super Artificial Intelligence
When AI becomes much smarter than the best human brains in every field, including scientific creativity, general wisdom, and social skills.
Stephen Hawking view of the AI
Stephen Hawking sees the development of full artificial intelligence as the potentialend of humanity.
British AI researcher Demis Hassabis view of the AI
the smarter AI gets, the better humans will become at saving the environment, curing diseases, explore the universe, etc.
Generative AI (subset of AI)
Train machines to generate new and original data:
Images
Text ——> chatgpt
Audio
Video ——> Saura (a version of chatgpt
learns from existing data to generate something new
Traditional AI
works on existing data to recognize patterns and make predictions
Turing Test
Determine the system is intelligent or not
AI history
1950 - turing test (Imitation Game) by Alan Turing
1955 - John McCarthy first coined the term Artificial Intelligence.
1956 – 1974 - The golden years
Game Playing: Chess, Checkers
Machine Translation
1974 - 1979 - AI winter
AI was subject to critiques and financial setbacks
Limited Computer Power
1980 - AI boom – Expert Systems to solve domain-specific problems
1997 - Deep Blue (IBM) beats Garry Kasparov (world chess champion)
2012- Deep learning volume
Subfields of AI
Neural networks
Planning
Robotics
Machine learning
Natural language processing
Perception
Kniwledge
Congitive system
MACHINE LEARNING
A subset of AI, which is a study of algorithms and models to perform a task without explicit instructions.
Example: Detect spam emails.
A subset of Machine Learning which learn from large amounts of data using Neural Networks.
Example: Tossing Bot (Princeton)
