When I immersed into the new AI world the many new terms can be quite a challenge. What makes a narrow or weak AI? Or what does a fuzzy logic mean? Maybe you are experiencing the same – in this case you might find this list covering some of the most important terms including a short description helpful.
Here is a list of AI buzzwords with a short description for you not to get lost in this new world.
Advanced, automated systems, often with the capability for self-maintenance and repair, mostly requiring little or no human interaction to operate (besides top-level guidance).
AI (Machine Intelligence)
Artificial or Machine Intelligence is a type of intelligence shown by machines and is often used to describe machines that mimic cognitive functions which are usually reserved to human minds, such as learning and problem solving.
Narrow and weak AI
Narrow AI stands for the ultimate goal of creating AI systems that are equal to or beyond human intelligence. Weak AI systems, on the other hand, are more reactive on a superficial intelligence level and perform well-defined tasks, using predefined problem-solving methods. Today’s systems are weak AI systems.
Algorithms and Python
An algorithm is a programmed set of steps that a computer needs to complete to achieve a goal. Computers need to be told how to complete certain tasks and algorithms are used to tell them. There are various ‘languages’ used for programming algorithms.
Python is a general-purpose programming language and can be used for writing software in a wide variety of applications – mostly used on data analysis projects.
Artificial Neural Network
Artificial Neural Networks are computing systems that are modeled after the biological neural networks that form the brains of humans and animals. Instead of being programmed to do specific tasks, the systems ‘learn’ from repetition.
Autonomous robots are robots that perform behaviors or tasks with a high degree of self-determination. E. g. they can gather information about their environment, work for long periods of time without human intervention, and can move without assistance within its direct environment.
Big Data are extremely large data sets that may produce predictive analytics. The data is analyzed at real-time speed, revealing patterns, trends, and associations, often relating to human behaviors and interactions.
A chatbot is a computer program that conducts conversations using audio or text. They are designed to simulate human interaction and are often used in customer service departments.
Cloud computing is an information technology that uses a network of remote servers hosted on the internet to store, manage, and process data. It is time and cost efficient and requires minimal management efforts. It is an essential instrument for mobile connectivity solutions.
Computer vision seeks to automate tasks that the human visual system can do. It performs tasks as acquiring, processing, analyzing, and understanding digital images, and extracting data from the real world to produce numerical or symbolic information.
Data mining is the practice of examining large, pre-existing databases in order to gain new data patterns. The goal is to transform data sets into understandable structures for further use.
A data warehouse is a system used for reporting and data analysis. It stores current and historical data in a space that is used for creating analytical reports for employees in an enterprise.
The use of digital technologies to change a business model and provide new revenue and value opportunities. It is a partly or complete transformation from analog to digital business models.
Ethics and AI
Ethics of Artificial Intelligence covers on the one side robo-ethics, the concern with moral behavior of humans as they design, construct, use artificially, intelligent beings. On the other side it is about machine-ethics, the concern of moral behavior of these beings and if they will rather harm or help people.
Fuzzy logic is a method of reasoning that resembles human argumentation. Incomplete, ambiguous, or inaccurate input is processed through artificial intelligence that simulates the human reasoning process, in combination with a programmed knowledge base, to produce an acceptable output.
IBM Watson & Co
Watson is a question-answering computer system that can answer questions posed in natural language. It combines and applies different systems like natural language processing and machine learning.
Industry 4.0 is the name assigned to the trend of automation and data exchange in manufacturing technologies. It is often referred to as the fourth industrial revolution and includes cyber-physical systems, which are mechanisms controlled by computer-based algorithms. Industry 4.0 creates a ‘smart factory’.
Internet of Things (IOT)
IOT is a network of everyday physical devices, vehicles, home appliances, and other items that are embedded with electronics, software, sensors, and connectivity that allow them to connect and exchange data.
Machine Learning & Deep Learning
Machine Learning is applied to make informed decisions through automated tasks. It uses algorithms to break data blocks down into smaller sets for easier interpretation, managing, and transmitting, and learns from that data.
Deep learning is a subset of machine learning and is designed to continually analyze data with a human-like logic structure.
An artificial neural network is an information processing model that simulates the way biological nervous systems, such as the brain, process information. It is formed by a large number of interconnected processing elements working together to solve specific problems.
NLP (Natural Language Processing)
NLP is a away for computers to analyze, understand, and derive meaning from human language. Using NLP, developers can automate summarizations, translation, speech recognition, and topic segmentation. It allows machines to understand how humans speak.
OCR (Optical Character Recognition)
OCR is the electronic conversion of images of types, handwritten, or printed text into machine-encoded text. It is a common method of digitizing printed texts so they can be electronically edited, searched, and stored.
Predictive analytics uses data mining, statistics, machine learning, and artificial intelligence to analyze current and historical data and make predictions about unknown future events.
A smart city is an urban area that uses electronic data collection in the form of sensors to send information that can be used to manage resources efficiently. The data is processed and analyzed to monitor and manage transportation systems, water supply networks, waste management, law enforcement, information systems, and community services.