What Is AI? 7 Tips to Get Better At Artificial Intelligence

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Tips for Getting Better At AI

Tips for Getting Better At AI You have probably heard the term “artificial intelligence,” but do you truly understand what it is and what it can do for you? In this article, we will take a closer look at Artificial Intelligence, exploring what it is, how it came about, and

why it has become so crucial in today’s world.

What Is AI?

Artificial intelligence is how machines ‘learn’ specific tasks from experience. Part of this learning process comes from adapting to new information and determining how to perform various functions in an as human-like manner as possible. Tips for Getting Better At AI, it is the nuts and bolts behind automation systems with one significant difference –AI technology makes it possible to train machinery to accomplish tasks through the processing of data.

The History of AI

Above, we discuss What is Ai?, Now we will have a look at the History of AI. AI research dates back to the 1950s.  The term “artificial intelligence” was first used in 1956. Early research was included—the exploration of problem-solving and symbolic method understanding. By the 1960s, work related to AI piqued the interest of the US Department of Defense. They used it to train computers to “think” like humans. In the 1970s, this project made street mapping by the Defense Advanced Research Projects Agency (DARPA) possible. DARPA went on to create intelligent personal assistants in 2003 – long before any of us had heard of Alexa, Siri, or Cortana. 

Developments over the past several decades opened the doors to the type of automation and formal reasoning we see in today’s computers. This includes systems that were designed to enhance human abilities such as smart search and decision-support programs. AI has progressed to where it can provide several benefits to a variety of industries and applications. However, it hasn’t quite gotten to the level recent science-fiction writers and movie makers imagine. That doesn’t mean AI is far behind, but chances are, you won’t ever have to worry about the planet being taken over by a race of super AI robots.

How to Better Understand It?

The easiest way to gain a better understanding of what artificial intelligence is all about and what role it plays in today’s world is to look at why it is so important. Below is a shortlist of examples where AI has become a vital partner in everyday lives.

1 – Artificial Intelligence Works Best with Data

Data is so much more critical in today’s world, and computers can create massive amounts of it. This can dig into this volume of information and pull out answers. Tips for Getting Better At it. This creates a competitive advantage for companies and facilities that have implemented Artificial Intelligence. Algorithms are self-learning, which makes data all the more important for AI.

2 – Enhances Existing Products

Products you currently use that have Artificial Intelligence capabilities will become far more useful. Examples of this would be factories with automation, online conversational platforms and bots, smart machines within your home, and so much more. The amount and type of data collected and fed to these products could improve workplace technologies as well as those in use at home.

3 – Handles Deep Data

AI utilizes something known as neural networks that are capable of storing incredible amounts of data because these networks contain many hidden layers. With this kind of computer power, deep learning is possible because machines with its capabilities learn directly from the data. The more data used, the more accurate the learning results.

4 – This Can Create Great Accuracy

To expand on the previous note, this makes use of deep neural networks. These did not exist before the development of AI and smart devices. For instance, Google Photos, Google Search, and Alexa are all based on deep learning; the more you use them, the more accurate they become. The AI methods they use have become commonplace in many other industries.

5 – This Affects Other Industries

The techniques developed through deep learning affect many other industries, thanks to it. The medical sector is one fine example of where this ability is hugely beneficial.  Tips for Getting Better At AI Technologies such as object recognition and image classification make identifying cancerous tumors or any other abnormality quickly identifiable with extreme accuracy using MRIs.

6 – Adapts Through Leaning

As AI uses data to discover structure and regularities, the result is that algorithms learn skills. This makes algorithms a classifier or a predictor making it possible for the algorithm to teach itself a new skill. It can then adapt that skill based on what it learns from new data.  In this way, the computer-driven technology, whether a robot or word processing software, is always learning and becoming better at the skills it has mastered. 

7 – Read Up 

Typical automation is based on hardware-driven, robotic tasks. AI can perform high-volume, computerized tasks with greater frequency and with higher reliability. Plus, AI smart devices can perform these tasks without fatigue. Reading up on this can teach you much about this technology. This AI books list from Cool Things Chicago is an excellent resource to use as a starting point.

In Conclusion

Artificial Intelligence is not a new development.  Its history dates to the 1950s. In recent years, AI has become a popular choice for making sense of the significant increase in available data. Making nearly instant use of data would not have been possible just a few years ago due to limitations in computing power and storage. However, it is precise that the high volume of data stored on AI-capable machines and devices that makes it possible for these products to ‘learn’ new tasks and perfect those they have already acquired.  Tips for Getting Better At it.

Understanding the role AI plays in today’s world is not hard because so many of our daily activities involve the use of smart devices. Where will it go from here? That is anyone’s guess, but it is fair to say that AI is not going to be replaced with something new anytime soon.

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