However, is AI a fairly new development, or did its roots begin in a much earlier time?
Here’s how old AI really is.
When Was AI Conceptualized?
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It wasn’t until the mid-20th century that the idea of artificial intelligence became a reality.
The program itself was written by Shaw, a computer programmer who worked for RAND at the time.
But this wasn’t an easy journey.
Backpropagation, a machine learning training algorithm, stood as the catalyst for this resurgence.
Backpropagation was first introduced in 1970 by Paul Werbos.
At the turn of the century, AI was about to get even more advanced.
Among these many notable moments for AI in the 2000s was IBM Watson.
IBM Watson began as a research project in 2006, and gave way to a number of incredible outcomes.
One such outcome, the Watson supercomputer, used AI to answer questions that most preexisting computers could not.
So, what happened here?
Throughout the late 2010s, LLMs stood at the forefront of AI advancement.
BERT is still used by Google today, but is no longer the only LLM out there.
ChatGPT does this using a Generative Pre-trained Transformer (GPT), developed by its creator company, OpenAI.
This, in turn, lets the LLM provide a useful response.
But AI also has its uses in a lot of other technologies, such as virtual assistants.
Siri, Alexa, Google Assistant, and Cortana all use AI to better understand users' verbal commands.
You’ve likely come into contact with AI multiple times without even realizing it.
In recent years, AI has become the focus of car brands looking to introduceautonomous drivingto customers.
The most notable example of this is Tesla’s work with AI for its Autopilot feature.
In a more conceptual respect, AI may one day have the potential to meet or surpass human intelligence.
This is seen by many as the point at which humans lose control of AI technology.
Even today, AI outshines human performance in some tweaks.
