A restricted Boltzmann machine (RBM) is a type of energy-based model which is used to learn a probability distribution over a set of visible (input) variables. The model consists of a set of hidden (latent) variables, which are not observed, and a set of visible variables, which are observed. The model is learned by training … Read more
DeepMind is a subsidiary of Google that specializes in artificial intelligence. It was founded in 2010 by Demis Hassabis, Shane Legg and Mustafa Suleyman. DeepMind’s goal is to “solve intelligence” and thereby achieve “general artificial intelligence” (AGI). Its first commercial application was AlphaGo, a computer program that defeated a professional human Go player in 2015. … Read more
A computer hallucination is an image or pattern that is created by a computer algorithm that is not based on any real-world data. These images can be generated by training a computer to generate images from random noise, or by using a generative adversarial network (GAN) to create images that look realistic but are ultimately … Read more
Dimensionality reduction is the process of reducing the number of features or dimensions in a dataset. This can be done for a number of reasons, such as making the data more manageable for storage or processing, or to make patterns in the data more visible. There are a number of ways to perform dimensionality reduction, … Read more
Pattern recognition is the identification of patterns in data. It is a central task in many fields, such as machine learning, data mining, artificial intelligence, statistics, and image analysis. There are a variety of different approaches to pattern recognition, including: – Statistical methods – Neural networks – Support vector machines – Bayesian inference – Hidden … Read more
Bio-inspired computing is a subfield of artificial intelligence that deals with the development of algorithms and computational techniques inspired by biological systems. Bio-inspired computing is an interdisciplinary field that draws inspiration from a wide range of disciplines, including biology, neuroscience, psychology, and physics. The goal of bio-inspired computing is to develop computational methods and systems … Read more
Computational creativity (artificial creativity) is the study and development of computational systems that exhibit some form of creativity. The goals of computational creativity research include the understanding of the nature of creativity, the design of computational systems that are creative, and the use of computational systems to promote human creativity. One approach to computational creativity … Read more
Augmented analytics is a data analysis technique that combines machine learning with traditional data analysis techniques. The goal of augmented analytics is to make data analysis more efficient and effective by automating the process of data preparation, feature selection, and model training. Augmented analytics can be used for a variety of tasks, including predictive modeling, … Read more
The Azure Bot Service is a cloud-based service that allows developers to build and deploy chatbots. The service is based on the Microsoft Bot Framework, which provides a set of tools and services that allow developers to create and deploy chatbots. The Azure Bot Service provides a web-based interface that allows developers to create and … Read more
AlphaGo is a machine learning algorithm that was developed by Google DeepMind to play the game of Go. The algorithm was designed to be able to defeat a professional human Go player, and it did so in 2015. How many games has AlphaGo lost? According to the Google DeepMind blog, AlphaGo has lost 5 games … Read more
