Friday, November 16, 2018

We’ve been looking for a good summary of AI terms, and we found this AI glossary from Tech Republic.

Algorithm

A formula or set of rules for performing a task. In AI, the algorithm tells the machine how to go about finding answers to a question or solutions to a problem.

Analogical Reasoning

Solving problems by using analogies, by comparing to past experiences.

Artificial Intelligence (AI)

A field of computer science dedicated to the study of computer software making intelligent decisions, reasoning, and problem solving.

Artificial Neural Networks (ANN)

Learning models based on the biological neural networks present in the brains of animals. Based on the activity of neurons, ANNs are used to solve tasks that would be too difficult for traditional methods of programming.

Autonomous

Autonomy is the ability to act independently of a ruling body. In AI, a machine or vehicle is referred to as autonomous if it doesn’t require input from a human operator to function properly.

Backpropagation

Short for “backward propagation of errors,” backpropagation is a way of training neural networks based on a known, desired output for specific sample case.

Backward chaining

A method in which machines work backward from the desired goal, or output, to determine if there is any data or evidence to support those goals or outputs.

Case-Based Reasoning (CBR)

An approach to knowledge-based problem solving that uses the solutions of a past, similar problem (case) to solve an existing problem.

Data mining

The process by which patterns are discovered within large sets of data with the goal of extracting useful information from it.

Deep learning

A subset of machine learning that uses specialized algorithms to model and understand complex structures and relationships among data and datasets.

Forward chaining

A situation where an AI system must work “forward” from a problem to find a solution. Using a rule-based system, the AI would determine which “if” rules it would apply to the problem.

Heuristics

These are rules drawn from experience used to solve a problem more quickly than traditional problem-solving methods in AI. While faster, a heuristic approach typically is less optimal than the classic methods it replaces.

Inductive reasoning

In AI, inductive reasoning uses evidence and data to create statements and rules.

Machine learning

A field of AI focused on getting machines to act without being programmed to do so. Machines “learn” from patterns they recognize and adjust their behavior accordingly.

Natural language processing (NLP)

The ability of computers to understand, or process natural human languages and derive meaning from them. NLP typically involves machine interpretation of text or speech recognition.

Planning

A branch of AI dealing with planned sequences or strategies to be performed by an AI-powered machine. Things such as actions to take, variable to account for, and duration of performance are accounted for.

Pruning

The use of a search algorithm to cut off undesirable solutions to a problem in an AI system. It reduces the number of decisions that can be made by the AI system.

Strong AI

An area of AI development that is working toward the goal of making AI systems that are as useful and skilled as the human mind.

Turing test

A test developed by Alan Turing that tests the ability of a machine to mimic human behavior. The test involves a human evaluator who undertakes natural language conversations with another human and a machine and rates the conversations.

Weak AI

Also known as narrow AI, weak AI refers to a non-sentient computer system that operates within a predetermined range of skills and usually focuses on a singular task or small set of tasks. Most AI in use today is weak AI.

Weights

The connection strength between units, or nodes, in a neural network. These weights can be adjusted in a process called learning.

Read the source article at TechRepublic







Future of AI

Start-ups

Factoring in Data Costs for Your AI Startup

By Ivy Nguyen, Zetta Venture Partners Data gives AI startups a defensive moat: The more data the startup collects to train an AI model, the...

Woebot is the World’s First Mental Health Chatbot

Working 24 hours a day, 365 days a year across more than 130 countries, Woebot is undoubtedly a busy therapeutic chatbot. The good news is that...

Why an AI Pioneer Ditched Silicon Valley for Beijing

Mo Zhang is revolutionizing the path from seeing a product to buying it. Say you’re watching a program on a smart TV or another...

Keeping Sharks at Bay with the Help of AI

Does the idea to use artificial intelligence (AI), drones and electric force fields to prevent sharks from eating human bathers have teeth? Several tech...

DarwinAI Emerges from Stealth with Design, Optimization and Explainability Platform for Deep Learning

DarwinAI, a Waterloo, Canada startup creating next generation technologies for Artificial Intelligence development, has announced it is emerging out of stealth with $3M in...

Here Are 14 Pioneering AI Companies to Watch

Although established companies are investing heavily into AI, many fairly new organisations are securing funding and focusing on products that could be truly revolutionary....

AI Sports Production Startup from Israel Raises $30M in Funding

An Israeli artificial intelligence-based sports production start-up has raised $30 million in a new round of funding led by Los Angeles investment firm Shamrock...