#1 Myth: AI, ML and Deep Learning are the same
Answer: They’re related, but not the same
It is a common misconception that artificial intelligence (AI) and machine learning (ML) are the same and that the terms can be used interchangeably. However, that is not the case. What’s the difference?
AI – In its simplest form, artificial intelligence is a field, which combines computer science and robust datasets, to enable problem solving and data analysis. (https://www.ibm.com/topics/artificial-intelligence)
ML – Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. (https://www.ibm.com/topics/machine-learning)
Thinking about a computer gets confusing quickly so let’s break it down into simpler terms.
Consider instead how we might design a robot capable of many complex, human-like tasks, like walking and object-recognition. Everything involved in replicating complex human function would be considered AI, even if the relevant algorithm was designed by the programmer! However, there are particular tasks, like walking, that are far too difficult to replicate with a “hand-made” AI algorithm due to the specificity and fault-tolerance required of the program.
For these tasks, we have Machine Learning, a subset of AI which turns manual AI on itself to partially automate the development of AI algorithms themselves. Machine learning is a subset of AI that allows computers to learn without being explicitly programmed. This means that ML algorithms can be trained on data, and they will learn to identify patterns in the data that can be used to make predictions or decisions.
For example, an ML algorithm could be trained to highlight puppies in an image. This would involve showing the algorithm a large number of images of puppies, and the algorithm would learn to identify the features that are common to all of the images. Once the algorithm has learned these features, it can be used to highlight puppies in new images.
Furthermore, deep learning is a type of ML that uses large amounts of data and complex algorithms to learn. Deep learning algorithms are often used to model complex processes that occur in the human brain. For example, deep learning algorithms have been used to develop self-driving cars and to translate languages.
The emergent functions selected in deep learning are generally quite complicated, and interpreting them is a matter of ongoing research. This means that we don’t always fully understand how deep learning algorithms work, but they can still be very effective at solving complex problems.
#2 Myth: AI is New
Answer: AI has been around for almost 100 years
While the recent phenomenon of ChatGPT may prompt you to believe that artificial intelligence is a recent discovery, that is simply not true. The earliest substantial work in the field of artificial intelligence is documented to have occurred in 1950 by Alan Turing, a British mathematician, logician, and pioneer computer scientist who developed the conceptual basis for the modern computer. Inspired by the human brain, scientists and researchers started to explore the idea of creating machines that could replicate the behaviors of human intelligence.
(tableu.com/data-insights/ai/history)
#3 Myth: AI is going to takeover and replace human existence
Answer: There is a place for both!
The true essence of AI lies in its potential to enhance and improve the way humans work. Rather than threaten human existence, AI serves as a powerful tool that complement human capabilities and empowers us to achieve new heights of productivity and innovation. By automating repetitive tasks, analyzing vast amounts of data, and providing valuable insights, AI frees up human professionals to focus on complex problem-solving, creativity, and critical thinking. It streamlines processes, increases efficiency, and enables us to tackle challenges with greater speed and accuracy. The synergy between AI and human intelligence fosters a collaborative partnership, where AI acts as a supportive partner, augmenting our skills and enabling us to achieve unprecedented levels of success in our endeavors. Ultimately, the integration of AI into our workflows holds the promise of a future where humans and AI work hand in hand, driving progress, and advancing society.
AI can be confusing, but Get Real is here to guide you through the process of implementing AI into your business strategy, so you can take full advantage of its potential benefits. Contact us today to learn more about how we can help you stay ahead of the curve.