Machine learning
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using t...
Machine learning - Wikipedia
Machine Learning Can Transform Video Footage Automatically
“Deep fake” videos may make it impossible to tell fact from fiction.
Newly Built Computer Mimics The Human Brain
Newly Built Computer Mimics The Human Brain.
New 'Artificial Synapses' Could Let Supercomputers Mimic the Human Brain
Brain-like machines with human-like abilities to solve problems could become a reality, researchers say.
Google PlaNet Can Look At A Photo, Tell You Where It Was Taken
Geotags? GPS? Pssh. That's old school. Google has a brand-new trick for figuring out where the photos you've taken happen to be, and it doesn't need any extra data from your camera to do it—just the p...
High-fat Diet Prompts Immune Cells To Start Eating Connections Between Neurons
When a high-fat diet causes us to become obese, it also appears to prompt normally bustling immune cells in our brain to become sedentary and start consuming the connections between our neurons, scien...
3-D Map Of The Brain
The animal brain is so complex, it would take a supercomputer and vast amounts of data to create a detailed 3-D model of the billions of neurons that power it. But computer scientists and a professor ...
Eating, Running, Commuting: How Your Device Knows Your Life through Images
Researchers have created an artificial neural network that identifies the activities in a user’s average day through a catalogue of images.
MIT Has Produced Data Science Machine That Is Replacing Human Intution For Big-Data Analysis
System that replaces human intuition with algorithms outperforms 615 of 906 human teams. Big-data analysis consists of searching for buried patterns that have some kind of predictive power. But choosi...
What Does Artificial Intelligence Dream About?
When a collection of artificial brains at Google began generating psychedelic images from otherwise ordinary photos, engineers compared what they saw to dreamscapes. They named their image-generation ...
Scientists Reveal Brain Network For Observed Social Threat Interactions
Observing one person threatening another is a commonplace event. Now, in research published in eLife, scientists have used large-scale neural recording and big data analysis in monkeys to enable a fir...
Important Step In Artificial Intelligence: Stylized Letters Classified By Their Images
In what marks a significant step forward for artificial intelligence, researchers at UC Santa Barbara have demonstrated the functionality of a simple artificial neural circuit. For the first time, a c...
Probabilistic programming does in 50 lines of code what used to take thousands
To make machine-learning applications easier to build, computer scientists have begun developing so-called probabilistic programming languages, which let researchers mix and match machine-learning tec...
New brain mapping reveals unknown cell types
jens hjerlingleffler and sten linnarsson are principal investigators at the department of medical biochemistry and biophysics at karolinska institutet in sweden using a process known as single cell se...
Google Video Looks At ‘Science Of Talking With Computers’
Language. Easy for humans to understand (most of the time), but not so easy for computers. This is a short film about speech recognition, language understanding, neural nets, and using our voices to c...
Brainlike computers, learning from experience
Computers have entered the age when they are able to learn from their own mistakes, a development that is about to turn the digital world on its head.
Computational learning theory
Computational learning theory is the analysis of computational complexity of machine learning algorithms. It is the intersection of theory of computation and machine learning.
Theoretical results ...
Decision tree learning
Decision tree learning uses a decision tree as a predictive model which maps observations about an item to conclusions about the item's target value. It is one of the predictive modelling approaches u...
Decision tree learning - Wikipedia
Association rule learning
Association rule learning is a popular and well researched method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in dat...
Association rule learning - Wikipedia
Reinforcement learning
Reinforcement learning is an area of machine learning inspired by behaviorist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cu...
Genetic programming
In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. Essenti...
Genetic programming - Wikipedia
Evolutionary computation
In computer science, evolutionary computation (a.k.a. evolutionary computing) is a subfield of artificial intelligence (more particularly computational intelligence) that can be defined by the type of...
Neural network
In machine learning and cognitive science, artificial neural networks (ANNs) are a family of statistical learning algorithms inspired by biological neural networks (the central nervous systems of anim...
Neural network - Wikipedia
Speech recognition
In computer science and electrical engineering, speech recognition (SR) is the translation of spoken words into text. It is also known as "automatic speech recognition" (ASR), "computer speech recogni...
Handwriting recognition
Handwriting recognition (or HWR) is the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, touch-screens and other devices...
Handwriting recognition - Wikipedia
Computer vision
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical...
Computer vision - Wikipedia
Pattern recognition
Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine l...
Pattern recognition - Wikipedia
Machine perception
Machine perception is the capability of a computer system to interpret data in a manner that is similar to the way humans use their senses to relate to the world around them. The basic method that the...