So what exactly is AI? Artificial Intelligence and other technology buzzwords you may have come across like Deep Learning, Neural Networks and Machine Learning may sound complicated… and to be honest, they are if you are creating them.
But in the next few minutes together we will explain simply what each of these terms mean, and you’ll see you are already using AI that is all around you.
Artificial Intelligence: A computer’s capacity and ability to complete tasks that require the intelligence of a human. These computers take in data, analyze patterns, learn from them and improve over time. The concept of AI first arose in 1956.
Much like a human baby learning how to speak for the first time – there are a lot of words as input, the baby practices and learns through association of those words to objects, and will continue to build on those words to generate sentences and phrases.
Even though you may not be aware of it, we already interact with AI on a daily basis. AI are the text chatbots on customer support pages, AI is Facebook’s face recognizer when you upload photos, and AI are the automated robots that make many of the products we rely on, such as cars.
63% of people prefer to message a chat bot vs. talk with a human when communicating with a business.
Fun Facts About AI:
- Most AI bots are female. Have you ever wondered why Siri or Alexa have a female voice? It’s because studies indicate that both males and females are more attracted to a woman’s voice.
- AI’s have nationalities and passports just like humans. Sophia is a lifelike humanoid who holds citizenship of Saudi Arabia.
- AI’s have to pass a test to be true AI’s, the Turing Test. The Turing test was named and developed by Alan Turing in 1950. It tests a machine’s ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. During the test, an evaluator must try to identify who they were communicating with – a human person or an artificial intelligence. If the researcher cannot tell the different between the human or the AI, the AI passes the test.
- Robots pets could be in your home sooner that you think! Research from the University of Melbourne by Dr. Jean-Loup Rault says that there could be robotic dogs with whom people could make an emotional connection by 2025.
Machine Learning: An application of AI that uses past data to learn about what to predict in the future.
We can see this type of AI used by Netflix and Amazon. Based on your previous movie/show selections or online purchase history, machine learning algorithms generate a list of recommended items you may also enjoy.
And there’s good reason why they use it. The AI recommendation system Netflix uses saves the company $1 billion each year. And we’re the reason why; 75% of what users watch on Netflix comes from those recommendations.
Neural Network: A computer system designed like the human brain and nervous system. It can sense and analyze incoming stimuli then connect and transmit responses to other parts.
Deep Learning: A type of machine learning using neural networks when there is A LOT of complex data. The computer has to go deeper and think harder because there are many layers to the data it needs to analyze and learn.
An example of deep learning is self-driving cars. As anyone that has learnt to drive a car knows, it’s not a simple task because the conditions are never the same. But like humans, AI can learn by doing.
Hopefully now the next time you’re watching Netflix or scrolling through your social media feeds, you’ll know that these technologies we use every day have AI in them.
Want to learn more about AI? Message one of our AI chatbots or human team members as we’d love to assist you.