Vision Processing Unit
A vision processing unit (VPU) is a type of AI accelerator designed to accelerate machine vision tasks. They are distinct from video processing units, as they are optimized for on-chip dataflow and...
View ArticleType System
In programming languages, a type system is a set of rules that assigns a type property to different constructs of a computer program, such as variables, expressions, functions, or modules. These types...
View ArticleTuring Test
Alan Turing developed the Turing test in 1950 as a way to test a machine's ability to exhibit intelligent behavior similar to that of a human. The test involves a human evaluator judging natural...
View ArticleTuring Machine
A Turing machine is a theoretical model of a computing machine that was proposed by the mathematician Alan Turing in 1936. It consists of a tape of unlimited length, divided into squares, and a...
View ArticleNETtalk
In the mid-1980s, Terrence Sejnowski and Charles Rosenberg conducted research that resulted in the creation of NETtalk, an artificial neural network. The objective of this program was to develop...
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Abstraction
In the most general sense, abstraction is the process of removing characteristics from something in order to reduce it to a set of essential characteristics. In computer science, abstraction is used...
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Reinforcement Learning from Human Feedback
RLHF is a technique that uses reinforcement learning to optimize an AI agent's policy using human feedback. This technique has been successfully applied to various areas of natural language processing...
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Human-Computer Interface • HCI
See also Human-Computer Interaction A human-computer interface is the point of contact between a human user and a computer system. It can be as simple as a single button on a machine or as complex as a...
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Reinforcement Learning • RL
What is reinforcement learning?Reinforcement learning is a subfield of machine learning, concerned with how software agents can learn to behave in complex, uncertain environments. It relies on...
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Supervised Learning
What is supervised learning?Supervised learning is a type of machine learning algorithm that involves learning from a set of training data that has been labeled with the correct answers. The algorithm...
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Machine Learning • ML
Specializations Deep LearningGeneralizations Artificial Intelligence What is machine learning?Machine learning is a subset of artificial intelligence (AI) that enables computers to learn from...
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Recurrent Neural Network • RNN
What is a recurrent neural network?A recurrent neural network (RNN) is a type of neural network that is designed to handle sequences of data. Unlike a traditional neural network, which assumed that...
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Variational Autoencoder • VAE
What is a variational autoencoder?A Variational Autoencoder (VAE) is a type of artificial neural network used in the field of machine learning for the purpose of generating new data. It's a type of...
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Accelerating Change
TL;DR Exponential technological growth is here to stay. DALL-E 2 for “accelerating technology, digital art“ Introduction to Accelerating Change in TechnologyIn recent years, we have witnessed an...
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Machine Translation
Exploring the Evolution and Challenges of Machine Translation The Basics of Machine TranslationMachine translation, a specialized area within computational linguistics, employs software to convert text...
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Python
Python: The Versatile and Ever-Evolving Programming Language Introduction to PythonPython, a programming language developed in the 1980s, has emerged as a fundamental tool in the modern digital...
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Unsupervised Learning
Unsupervised learning is a type of machine learning where the algorithm is trained on a dataset that does not have any labeled outcomes. In other words, the algorithm must find structure and patterns...
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Artificial Narrow Intelligence • ANI
What is artificial narrow intelligence?Artificial Narrow Intelligence (ANI) is a type of artificial intelligence that focuses on a single task. Unlike artificial general intelligence (AGI), which has...
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