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Artificial Intelligence Has a Strange New Muse: Our Sense of Smell

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Today's artificial intelligence systems, including the artificial neural networks broadly inspired by the neurons and connections of the nervous system, perform wonderfully at tasks with known constraints. They also tend to require a lot of computational power and vast quantities of training data. That all serves to make them great at playing chess or Go, at detecting if there's a car in an image, at differentiating between depictions of cats and dogs. "But they are rather pathetic at composing music or writing short stories," said Konrad Kording, a computational neuroscientist at the University of Pennsylvania. "They have great trouble reasoning meaningfully in the world."


Scientists find neurons that purge our minds of unnecessary memories while in REM sleep

Daily Mail - Science & tech

We forget most of our dreams when we wake thanks to a group of neurons that work while we sleep to purge our minds of unnecessary memories, scientists found. The neurons -- which carry messages from cells that make a hormone involved in both sleep and appetite -- are active in the REM phase of sleep in which we dream. The finding adds to previous research that showed that sleep is the time that we store memories from the day for the long-term. Researchers studied the neurons and hormone-making cells in mice, which they found to be more forgetful when the cells were artificially activated. REM -- or'rapid eye movement' -- sleep is one of the several sleep cycles the body goes through each night.


What's the Difference Between AI, ML, Deep Learning, and Active Learning?

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Today, the terms artificial intelligence (AI) and machine learning (ML) are often used interchangeably. While the terms are related, they mean different things. We map out how they all relate to one another, so your team can find the best candidates, best approaches and best frameworks as you embark upon your AI journey. AI refers to the concept of machines mimicking human cognition. To reference artificial intelligence is to allude to machines performing tasks that only seemed plausible with human thinking and logic.


What You Absolutely Need to Know about CNNs

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CNN stands for Convolutional Neural Networks. It's a class of neural networks that is usually used for image recognition and is based on the idea of … well, convolution. Essentially, convolution here is the way the information is processed by artificial neurons: they take advantage of the hierarchical pattern in images and assemble more complex patterns using smaller and simpler patterns. The neurons are grouped into layers where each layer tries to recognize certain level of detail in small rectangular areas of a picture: neurons in the first layer strive to find lines and dots, then they hand over their findings to the next level, whose task is to analyze the lines and dots and see if they can form a nose, an eye or an ear. The last layer will convolve the found parts into a human face or … not.


Living in the world of AI - The Human Transformation

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Today, if you stop and ask anyone working in a technology company, "What is the one thing that would help them change the world or make them grow faster than anyone else in their field?" The answer would be Data. Because data can essentially change, cure, fix, and support just about any problem. Data is the truth behind everything from finding a cure for cancer to studying the shifting weather patterns. However, despite this promise there is a global sense of mistrust.


Top 10 Machine Learning Algorithms For Beginners

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To give you an example of the impact of machine learning, Man group's AHL Dimension programme is a $5.1 billion dollar hedge fund which is partially managed by AI. After it started off, by the year 2015, its machine learning algorithms were contributing more than half of the profits of the fund even though the assets under its management were far less. After reading this blog, you would be able to understand the basic logic behind some popular and incredibly resourceful machine learning algorithms which have been used by the trading community as well as serve as the foundation stone on which you step on to create the best machine learning algorithm. Initially developed in statistics to study the relationship between input and output numerical variables, it was adopted by the machine learning community to make predictions based on the linear regression equation. The mathematical representation of linear regression is a linear equation that combines a specific set of input data (x) to predict the output value (y) for that set of input values.


Top 10 Machine Learning Algorithms For Beginners

#artificialintelligence

To give you an example of the impact of machine learning, Man group's AHL Dimension programme is a $5.1 billion dollar hedge fund which is partially managed by AI. After it started off, by the year 2015, its machine learning algorithms were contributing more than half of the profits of the fund even though the assets under its management were far less. After reading this blog, you would be able to understand the basic logic behind some popular and incredibly resourceful machine learning algorithms which have been used by the trading community as well as serve as the foundation stone on which you step on to create the best machine learning algorithm. Initially developed in statistics to study the relationship between input and output numerical variables, it was adopted by the machine learning community to make predictions based on the linear regression equation. The mathematical representation of linear regression is a linear equation that combines a specific set of input data (x) to predict the output value (y) for that set of input values.


Using Meta-Neurons to learn facts from a single training example

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Human learning comes in two forms, a fast and a slow one. The slow one requires a lot of repetition which seems to be necessary to conquer a new cognitive field such as learning a new language. But once a field is mastered, learning new facts within this field requires very few, possibly even only one example. It appears, that the brain regions involved in processing this field have been pre wired to the regions they depend on. So once a new fact needs to be learned, this pre wiring is used to speed up the training of the neurons involved in processing this new fact.


Classify Clothes Using Python and Artificial Neural Networks

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In this article, I will show you how to classify clothes from the Fashion MNIST data set using the python programming language and a machine learning technique called Artificial Neural Networks! If you prefer not to read this article and would like a video representation of it, you can check out the video below. It goes through everything in this article with a little more detail and will help make it easy for you to start programming your own Artificial Neural Network (ANN) model even if you don't have the programming language Python installed on your computer. Or you can use both the video and this article as supplementary materials for learning about ANN's! First I will write a description of what this program will do.


A Basic Perceptron Model Using Least Squares Method

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Just like the billions of neurons that make up the human nervous system, the perceptron is the basic unit of artificial intelligence. Every thought, action, emotion or decision that we make reflect the activities of the nervous system which is a master system that controls and communicates with every part of your body. Biological intelligence relies on this complex mechanism of billions of neurons organized in different layers that communicate with one another through electrical and chemical signals. To understand how biological intelligence is produced, it's important to understand how the basic building block called neuron functions. Similar to biological intelligence, artificial intelligence is produced by a complex network of basic building blocks called perceptron.