Data Security
Artificial intelligence is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making.
Artificial intelligence is a technology that allows you to generate, classify, and perform tasks like image analysis and speech recognition.
AI combines computer science, data, and problem-solving. It automates tasks, saves time, and allows new discoveries. But it's expensive, can replace jobs, and has environmental costs.
AI is the science of building machines that think and act like humans. It includes machine learning, deep learning, natural language processing, and generative AI.
AI works by using algorithms to process massive datasets, learn patterns within that data, and then use those patterns to make predictions, decisions, or generate new content. This process, known as training, involves a continuous cycle of data input, model evaluation, and adjustment to improve performance over time. Key techniques like machine learning and neural networks enable AI to perform complex, human-like tasks, from understanding language to recognizing images.
The Core Process
AI systems begin by gathering vast amounts of data relevant to a specific task.
Mathematical models, called algorithms, are applied to this data to identify patterns, relationships, and connections.
The AI analyzes the data to find recurring patterns, which are the basis for its learning.
Through a process of trial and error, the AI makes a "guess" or prediction and then receives feedback on its accuracy.
Based on the feedback, the AI adjusts its internal model to improve its accuracy for future attempts.
This cycle of data input, pattern finding, and model adjustment repeats many times, allowing the AI to learn and become more proficient over time, similar to how humans learn from experience.
Key Technologies
Machine Learning
A core component of AI that allows systems to learn from data without being explicitly programmed for every possible scenario.
Neural Networks
A type of machine learning model inspired by the structure of the human brain, designed to learn increasingly complex patterns and make predictions
Deep Learning
A subset of machine learning that uses deep neural networks to accomplish complex tasks like image and speech recognition.
Allows AI to "see" and interpret visual information from images and videos, used in applications like self-driving cars’.
