Previous Next What is AI? PostedTuesday, October 22, 2024 at 10:29 AM Mary Mathias This is the first in a series of articles around AI and smart devices. The 2025 EngineerGirl Writing Contest asks students to write a piece describing a common object you would make "smart," then tell us what it would do, how it would help people, and what could go wrong. Learn more! Have you heard people talking about AI or artificial intelligence? It’s a pretty big deal to engineers, but you may be wondering why it matters to you. Artificial Intelligence(AI) is a branch of computer science. It aims to create machines that can perform tasks which would usually require human thought. These tasks include learning, reasoning, problem-solving, understanding language, and recognizing patterns. Let's break down what AI is and how it works in a way that's easy to understand. Imagine you could have a robot friend like C3PO in Star Wars. This robot could learn from its experiences, understand your words, and even help you with homework. AI is like the brain of that robot. It’s a way of making computers and machines smart enough to think and act like humans, at least in some ways. How Does AI Work? AI works by using data and algorithms that allow for learning. That is how computers “think.” Algorithms are like step-by-step instructions that tell the computer how to solve a problem. To really understand AI though, you might need to understand a few related terms: Data: Any AI will need a lot of information to learn from. It is like how you need to read books and do homework to learn. This data can be anything from pictures and sounds to words and numbers. Learning: Learning for a computer is a little different than it is for a person. There are different ways AI can learn: Supervised Learning: This is like having a teacher. The AI receives data with answers (called labels). It uses the data points as examples to learn how similar data might work. For instance, if you feed it pictures of cats and dogs that are labeled correctly, it can learn to tell them apart. Unsupervised Learning: Here, the AI tries to find patterns in the data on its own without any labels. It’s like solving a puzzle without knowing what the final picture looks like. The AI looks for differences and similarities in each of the data sets and tries to find a way to organize them. Reinforcement Learning: This is like learning through trial and error. The AI gets good or bad feedback based on its actions. This helps it learn the best way to achieve a goal. Think of it like playing a video game. The computer can score points for good moves and lose points for mistakes until it understands what good moves it should make. Neural Networks: These are computer systems inspired by the human brain. They consist of layers of interconnected nodes (like neurons) that process data. Each layer analyzes the data and passes it to the next layer. AI uses neural networks to learn and recognize complex patterns. These can range from faces in photos to spoken language. Natural Language Processing (NLP): This form of AI allows computers to understand and talk using a human language. It’s used in things like voice assistants (like Siri or Alexa) and chatbots. AI technology that uses NLP can understand what you're saying and respond in a way that makes sense. Computer Vision: This ability for machines to see and interpret the world through cameras relies heavily on AI. For example, it is used in self-driving cars, which need to understand their surroundings to drive safely. Everyday Examples of AI Now that you know something about AI, you might find that it shows up in many places. Below are just a few examples. Can you think of any interactions you have had with an intelligent computer this week? Voice Assistants: Siri, Alexa, and Google Assistant use AI to understand your questions and provide helpful answers. Recommendation Systems: Netflix suggests movies you might like or Amazon recommends products. They both use AI to analyze your behavior and find what matches your preferences. Video Games: AI controls non-player characters (NPCs). The AI helps them act intelligently and makes for more challenging and enjoyable games. Smart Cameras: Some cameras can recognize faces. They might also remove backgrounds or even suggest the best photo settings based on what they see. These all depend upon AI. What AI Can Do For Us? AI is important because it can handle tasks that are too complex, time-consuming, or dangerous for humans. It can quickly analyze huge amounts of data. This helps in many ways. From doctors diagnosing diseases to improving customer service. AI can even help explore space. However, there are concerns when working with new technology like AI. Training biases, job displacement, and privacy are just a few. Issues with sourcing training data and uses of AI in different industries such as education and entertainment have been at the forefront of the AI discussion. Engineers must think carefully about how any new technology will be used to make sure it really does help society. In summary, AI is like giving machines a brain. It allows them to learn from data, recognize patterns, and make decisions. This can help us solve problems and make our lives easier. It is a rapidly growing field that combines technology and creativity. Along with some concerns, it opens up many possibilities for the future. Are there any ways you can imagine using AI in your own life? Created with the help of ChatGPT and edited by a human. Like 0 Previous Next Previous Next