The IoT Glossary
Internet of things
Artificial Intelligence
Generative AI
Data Science
Deep Learning
Computer Vision
What is IoT?
The Internet of Things, or IoT, refers to the network of physical devices connected to the internet, enabling them to collect and exchange data. Household appliances and wearable devices can be included in these devices. Smart environments, processes, and efficiency and convenience can be created by the integration of IoT.
What is AI?
Artificial intelligence, or AI, refers to the simulation of human intelligence in machines programmed to think and learn like humans. It comprises several techniques and approaches, including machine learning, where algorithms enable computers to improve and adapt from experience. Artificial intelligence applications range from simple tasks like voice assistants to complex processes like medical diagnostics and autonomous driving. Artificial intelligence is about creating systems capable of accomplishing tasks that typically require human intelligence, such as resolving issues, making choices, and comprehending spoken language.
What is generative AI?
Artificial intelligence designed to generate fresh content or data is known as generative AI. Data patterns from interconnected devices can be predicted and generated using this technology to enhance automation and efficiency. Business can make informed decisions and optimize their operations by understanding these patterns.
What is Data Science?
Scientific methods, processes, algorithms, and systems are used in data science to extract knowledge and insights from both structured and unstructured data. Various methods from math, statistics, and computer science are employed to analyze and comprehend intricate data sets. Data science seeks to uncover patterns, trends, and insights to inform decision-making and solve real-world problems. Data scientists use a range of tools and programming languages, such as Python and R, to clean, visualize, and model data.
What is Deep Learning?
Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to analyze various factors of data. Deep learning is a subset of machine learning that uses multiple layers to analyze various factors of data. These networks try to mimic the human brain’s structure and function by processing data through layers of interconnected nodes. The multiple layers involved in these neural networks allow them to learn from large amounts of data and make complex decisions. Many other applications of artificial intelligence have been influenced by deep learning.
What is Computer Vision?
A field of artificial intelligence deals with analyzing and making decisions based on visual information from the real world. It aims to imitate our visual faculties, enabling machines to recognize and comprehend visual content. This technology uses algorithms to extract meaningful information from visual inputs, such as identifying objects, faces, or actions. This technology uses these algorithms to identify objects, faces, or actions. Computer vision applications include autonomous vehicles, medical imaging, surveillance, and augmented reality.