What is Artificial Intelligence? How does AI work? These are questions many people ask, but the truth is that they don’t really know what it is and how it works in terms of practical applications and real-life usage. In this article, we’ll try to answer all of your questions about Artificial Intelligence so you can get a better grasp on what exactly AI is, how it came to be, how it works, and some examples of how you might be using it today without even knowing.
What Is Artificial Intelligence?
Artificial intelligence, or AI for short, is one of those topics that consistently makes headlines around new technologies and computer science. Although artificial intelligence is an old concept—the first work on AI was done in 1950 by Alan Turing—it’s constantly evolving and changing. The most recent trend in AI development involves deep learning, a technology that allows machines to learn how to understand complex patterns through training with enormous sets of data. In order to start developing AI, it helps to know what it actually means. Artificial intelligence, or AI for short, is one of those topics that consistently makes headlines around new technologies and computer science. Although artificial intelligence is an old concept—the first work on AI was done in 1950 by Alan Turing—it’s constantly evolving and changing.
With machine learning, computers are able to learn with experience, rather than follow pre-programmed instructions. For example, an AI computer program might be fed a large number of images and data about human faces, allowing it to teach itself which features make up a face by recognizing patterns in both humans and other objects. With regular training sessions from programmers, some machines can identify facial features or even differentiate between different people’s faces—even those they’ve never seen before. Learn more about how artificial intelligence works with these examples of technology in action.
This type of AI works by allowing a computer to learn based on previous experiences. Through deep learning, computers can recognize patterns and make decisions based on those patterns. In contrast to traditional programming, where programmers specify in detail how an algorithm should work, deep learning relies on neural networks that are modelled after how humans learn and process information. You may have experienced artificial intelligence without even knowing it; Google’s translations and Apple’s Siri employ deep learning, as do most other successful AI technologies.
Natural Language Processing
This type of AI allows computers to understand what users mean when they ask questions or give commands. For example, if a user asks, How do I get to work?, a natural language processing AI would be able to interpret that as a question and respond with directions. This technology is already being implemented on some operating systems, like Siri and Cortana. This tech can be used in many different fields where customers ask frequently asked questions, such as ordering food at restaurants or getting answers to commonly asked medical questions.
Internet of Things
In order to fully grasp what Artificial Intelligence (AI) is. It’s important to understand how it relates to other futuristic technologies. To do that, we first need to take a closer look at the Internet of Things (IoT). If you’ve heard of IoT before, you might have a general idea of what it is: the interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data. In essence, IoT allows all sorts of electronic devices—from refrigerators and light bulbs to cell phones and watches—to connect and exchange data. Although quite useful in theory, IoT isn’t always safe or secure. The problem lies in who owns all that connected data—and who has access to it.
Thanks to artificial intelligence, voice recognition software can listen to your speech and transcribe it into words in almost real-time. But you wouldn’t think that if you looked at something like Apple’s Siri. Most AI programs still fall short of perfection, making some simple errors even after being trained extensively. However, voice recognition technology is getting better every day. The combination of machine learning and advanced algorithms has made it possible for computers to understand human speech much more accurately than they used to. Just give a computer some audio samples and voila! It can translate your commands or any piece of text with surprising accuracy.
One way to think about artificial intelligence is to define it. So, as the ability of a machine to recognize objects and entities in its environment. In other words, computers with AI systems have learned how to take information from their sensors. And make use of it in order to carry out tasks such as recognizing faces, identifying objects, and detecting emotions. Google Glass uses computer vision technologies for its activity tracking. The device’s sensors work in conjunction with Google Maps data so that users can select an activity from their Glass timeline—i.e., walking or running—and get matched with a route based on their current location that provides scenic views along the way.