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Going Deeper into Neural Networks

Going Deeper into Neural Networks
Posted by Alexander Mordvintsev, Software Engineer, Christopher Olah, Software Engineering Intern and Mike Tyka, Software EngineerUpdate - 13/07/2015Images in this blog post are licensed by Google Inc. under a Creative Commons Attribution 4.0 International License. However, images based on places by MIT Computer Science and AI Laboratory require additional permissions from MIT for use.Artificial Neural Networks have spurred remarkable recent progress in image classification and speech recognition. But even though these are very useful tools based on well-known mathematical methods, we actually understand surprisingly little of why certain models work and others don’t. So let’s take a look at some simple techniques for peeking inside these networks. We train an artificial neural network by showing it millions of training examples and gradually adjusting the network parameters until it gives the classifications we want. Why is this important?

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Why Self-Driving Cars Must Be Programmed to Kill When it comes to automotive technology, self-driving cars are all the rage. Standard features on many ordinary cars include intelligent cruise control, parallel parking programs, and even automatic overtaking—features that allow you to sit back, albeit a little uneasily, and let a computer do the driving. So it’ll come as no surprise that many car manufacturers are beginning to think about cars that take the driving out of your hands altogether (see “Drivers Push Tesla’s Autopilot Beyond Its Abilities”). These cars will be safer, cleaner, and more fuel-efficient than their manual counterparts.

AI for the Masses All of the big tech companies are now open sourcing their AI (deep learning) software. They are also open sourcing the hardware designs of the machines needed to train the software. That's a big deal. This new approach to AI is proving so powerful and useful, its use is growing exponentially (see image below). At this rate of adoption and with the barriers to participation dropping daily, I'm confident this technological revolution will upend the world in less than a decade.

Culture - Favorite music to listen to while on LSD - Page 4 - Drugs Forum Quote: Swim enjoy both bands, but find no similarities, other than the fact that they are both instrumental bands. Anywho... Ant colony optimization algorithms Ant behavior was the inspiration for the metaheuristic optimization technique This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis,[1][2] the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. The original idea has since diversified to solve a wider class of numerical problems, and as a result, several problems have emerged, drawing on various aspects of the behavior of ants. Overview[edit]

Which whale is it, anyway? Face recognition for right whales using deep learning Right Whale Recognition was a computer vision competition organized by the NOAA Fisheries on the data science platform. Our machine learning team at has finished 1st! In this post we describe our solution. Big Data’s Mathematical Mysteries At a dinner I attended some years ago, the distinguished differential geometer Eugenio Calabi volunteered to me his tongue-in-cheek distinction between pure and applied mathematicians. A pure mathematician, when stuck on the problem under study, often decides to narrow the problem further and so avoid the obstruction. An applied mathematician interprets being stuck as an indication that it is time to learn more mathematics and find better tools. QuantizedA monthly column in which top researchers explore the process of discovery. This month’s columnist, Ingrid Daubechies, is the James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University.

Where Probability Meets Literature and Language: Markov Models for Text Analysis Where Probability Meets Literature and Language: Markov Models for Text Analysis by Hari Balasubramanian Is probabilistic analysis of any use in analyzing text – sequences of letters or sequences of words? Are Entities and Plant Spirits Real? A Skeptic's Guide to Tripping - Psychedelic Frontier Exploring outer dimensions? Or inner ones? (Flammarion engraving, 1888) Trips are like dreams. A genuine insight may bubble up from deep in your subconscious, handily solving a problem that your sober mind found intractable.

Can We Design Trust Between Humans and Artificial Intelligence? For many years, interacting with artificial intelligence has been the stuff of science fiction and academic projects, but as smart systems take over more and more responsibilities, replace jobs, and become involved with complex emotionally charged decisions, figuring out how to collaborate with these systems has become a pragmatic problem that needs pragmatic solutions. Machine learning and cognitive systems are now a major part many products people interact with every day, but to fully exploit the potential of artificial intelligence, people need much richer ways of communicating with the systems they use. The role of designers is to figure out how to build collaborative relationships between people and machines that help smart systems enhance human creativity and agency rather than simply replacing them. Imagine you are commuting in an autonomous car when it suddenly slams on the brakes, changes course, and heads off in a new direction.

Using Artificial Intelligence to Evaluate Handwritten Mathematical Expressions — Will Forfang Variables Theta1 and Theta2 are matrices which contain the synaptic weights between the input/hidden layer and the hidden/output layer, respectively. These are stored into memory after training. They are representative of the ANN's memories -- all that it knows about the world. You'll likely need to do a simple example by hand to fully understand why the above code results in forward propagation through the ANN. Just know that the lines beginning with "hypothesis" are leaning heavily on linear algebra to do many computations simultaneously. Justification for the add_ones function requires further theoretical discussion and has to do with the implementation choice of using a bias neuron in the input layer.

Machine Learning Inspired by Human Learning Fig. 1. People can learn rich concepts from limited data. (A and B) A single example of a new concept (red boxes) can be enough information to support the (i) classification of new examples, (ii) generation of new examples, (iii) parsing an object into parts and relations (parts segmented by color), and (iv) generation of new concepts from related concepts. Law Firm Hires First Artificially Intelligent Attorney (ANTIMEDIA) As if the world wasn’t anxious enough about automation and artificial intelligence fleecing jobs from the working class, now even lawyers might feel a little nervous. Last week, the law firm Baker & Hostetler announced the hiring of IBM’s proprietary artificial intelligence product, Ross. Built by IBM’s own groundbreaking computing system, Watson, Ross is the world’s “first artificially intelligent attorney.” Designed as a self-learning algorithmic tool, Ross is capable of most basic cognitive skills and possesses fine-tuned research abilities. This includes providing citations.

Life Versus Entropy: Tripping on Fractals, God, and the Mystery of Existence Setting: Early morning at a lakeside cabin in the woods of Vermont.Chemical lens: 25I-NBOMe, a research chemical with effects resembling LSD. (25I-NBOMe is a very new chemical, its safety profile is largely unknown, and lethal overdoses have been reported. Consuming 25I-NBOMe or other research chemicals is risky and I do not recommend it.) Fog rolls across the lake at dawn. The silence is broken by the chatter of birds and my own footsteps. Everywhere I see cobwebs skewered by the first spears of sunlight. My eyes are open to the jewelry box of nature.