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Common Example of Modern AI Technology - Autonomous Vacuums
If you're intrigued by AI and how it works, here is a brief summary that breaks it down into swallowable pieces!
If you're intrigued by AI and how it works, here is a brief summary that breaks it down into swallowable pieces!
Artificial Intelligence (AI) works by using computer systems to perform tasks that normally require human intelligence. This includes actions like recognizing speech, understanding language, making decisions, or spotting patterns.
Most modern AI is built on machine learning, where an algorithm is trained on large amounts of data. The AI looks for patterns in that data and then uses those patterns to make predictions or decisions.
There are 3 Types of Machine Learning:
1. Supervised Learning - Uses labeled data to train AI algorithms to recognize relationships between different inputs and outputs
2. Unsupervised Learning - Uses unlabeled data to train AI algorithms to find relationships and patterns on their own, thus strengthening their ability to learn on their own.
3. Reinforcement Learning - Uses the concept of trial and error to train AI by giving it some type of award or penalty when it correctlyor incorrectly recognizes a pattern, completes and action, and more.The process of creating AI often involves neural networks (inspired by how the brain works), which are layers of mathematical functions that transform input data gradually until an output is produced.
Modern Examples of AI
Modern Examples of AI
ChatGPT is a commonly used AI algorithm that can take in any prompt and form an understandable and relevant response.
How does it work? - ChatGPT is trained through massive amounts of text data from the internet which allows it to gradually improve its understanding on grammar and linguistic skills up to the point where it can even predict the next word in a sentence!
Facial Recognition is a widely used technology that can identify or verify a person from an image or video.
How does it work? – The system analyzes key features of a face—such as the distance between the eyes or the shape of the jaw, and compares them to patterns it has learned from large datasets. With enough training, the AI becomes very good at recognizing faces even under different lighting, angles, or expressions.
A Self-driving Car is a powerful system that allows a vehicle to understand its surroundings, make decisions, and safely navigate without human control.
How does it work? – A self-driving system uses cameras, radar, LiDAR, and sensors to gather information about the road. This data is fed into machine learning models that have been trained on millions of driving scenarios. Over time, the AI learns to recognize objects like cars, pedestrians, signs, and lane markings — and can even predict what might happen next so it can steer, accelerate, or brake safely!
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