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What makes us think that we are at the mercy of a rising technology nowadays?
Because it is everywhere . We are surrounded by Artificial Intelligence .
What do we usually expect when mentioning future technology? 2 examples .
flying cars and robotic maids
Give examples of 2 everyday life interactions we can have with AI without realising it .
browsing Netflix movie suggestions and asking Alexa to order a pizza
In basic terms, how do you define AI ?
a broad area of computer science that makes machine seem like they have human intelligence
Is AI something new?
No, it's not. The term AI was first coined back in 1956 by professor John McCarthy.
What was the goal of the group of computer scientists and mathematicians gathered by Dr McCarthy ?
It was to figure out how to make machines use language, form abstractions and concepts, solve problems and improve themselves.
True or false: AI has remained in super-secret labs for more than 60 years before becoming recently the "big" thing.
True. Research about AI has skyrocketed over the last few years and this technology has entered people's everyday life.
True or false : 60% of the world's data has been generated in the past two years.
False. It's more than that. It's 90% of the data.
What makes computers can actually make sense of all this information more quickly?
It's thanks to the recent advances in processing speeds.
What benefit can tech giants and investors get from infusing the market with new Apps?
A huge amount of money
What difference do you make between AI and a robot?
A robot is the shell concealing what is used to power the technology
What is a bot ?
They are text-based technology ( eg: a weather bot or Siri)
What is the best quality AI can have and that helps AI machines to improve themselves ??
It can retain information and become smarter over time.
Which flaws do humans have and that AI machines do not?
short-term memory loss, information overload, sleep deprivation, distractions.
How do computer scientists program machines so that they can spot the difference between a cat and a dog?
They have to program rules such as tail length, fur texture, color....
What resemblance is there between a machine learning and a toddler learning?
they both learn by experience
