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Five Best Small Form Factor PCs. Tumblr Launches Creative Agency to Connect Artists With Advertisers. Tumblr has already helped millions of artists and creators build cult followings online. Now, the New York City-based blogging platform wants to help those people become commercial successes in the real world, too. Today, Tumblr announced the launch of the Creatrs Network, a sort of creative agency for Tumblr bloggers that will help connect them with brands and other organizations that want to use Tumblr artist content in their ads and marketing.

The new division, which Tumblr has been testing with a hand-selected cohort of artists, has been in development for a year. Already, brands like AT&T, Universal Pictures, and Gap have worked with Tumblr artists to develop original content that can be featured on their Tumblr pages, as well as other platforms. Illustrations by one creator, Trace Loops, were recently featured in the background of an episode of The Voice. The appeal for artists is obvious. For Tumblr, this will also become a revenue stream. Hacking WEP (on an Orange Livebox) | Roshan's Blog. Understand neuroscience with these neat animations by Harvard University. Five Best Linux Desktop Environments. The Best Hidden Features of VLC. Top 8 Websites to learn coding online. A Byte of Python. BBC - Beautiful Equations. Learning From Data. NiLearn: Machine learning for NeuroImaging in Python — Machine learning for NeuroImaging.

PC Buying Guide > The Enthusiast's PC. • Excellent performance• Heavy multitasking and everyday computing • Perfect for gaming The Enthusiast's PC incorporates the perfect blend of both the Entry-Level Rig and Luxury System, making this our most balanced build. Our intent is to keep this system within the grasp of the average computer enthusiast, essentially offering a fully loaded PC minus some of the unnecessary bells and whistles that could set you back another grand or two. Motherboard, Processor, Memory In our review, the fourth-generation Core architecture (Haswell) managed to offer a bit more performance for about the same price as Ivy Bridge. Graphics, Sound If you can find the Radeon R9 290 for its MSRP of $400, then that's what we'd suggest you buy.

With Creative's sound cards and drivers having left a bitter taste in the mouths of many enthusiasts, Asus has largely become the default choice for discrete audio cards. Storage Power, Case, Cooling Monitor(s) Speakers Mouse & Keyboard. Running Linux From a USB Drive As a Virtual Machine or Bootable Disk. Live Linux environments work just like a typical operating system but run entirely from a CD or USB stick -- the latter being the most common choice these days. Since nothing is written to the host computer’s local storage, when you’re done all you need to do is remove the media, reboot, and everything will be exactly as it was. There are a number of uses to this, from simply test driving Linux to troubleshooting a Windows PC, or work on the go from someone else’s computer but running your own OS securely with all your personal files and settings.

There are basically two options when it comes to running Linux from a USB drive: from within Windows using virtualization software such as VirtualBox, or creating a boot disk. This quick guide details both methods in a few easy steps. Running Linux from a USB drive in Windows This option will come in handy if you want to run a Live Linux environment but need to retain access to Windows. Here's what you'll need to do: Boot Linux from a USB drive. Tails 1.0 Download. Tails helps you to: use the Internet anonymously and circumvent censorshipall connections to the Internet are forced to go through the Tor networkleave no trace on the computer you are using unless you ask it explicitlyuse state-of-the-art cryptographic tools to encrypt your files, emails and instant messaging Tails is a live system that aims to preserve your privacy and anonymity.

It helps you to use the Internet anonymously and circumvent censorship almost anywhere you go and on any computer but leaving no trace unless you ask it to explicitly. It is a complete operating system designed to be used from a DVD, USB stick, or SD card independently of the computer's original operating system. Tails comes with several built-in applications pre-configured with security in mind: web browser, instant messaging client, email client, office suite, image and sound editor, etc.

Online anonymity and censorship circumvention with Tor Using Tor you can: What's New: Notable user-visible changes include: How to Create a HTPC with Bodhi Linux & XBMC. Non-Programmer's Tutorial for Python 2.6. Non-Programmer's Tutorial for Python 2.6 From Wikibooks, open books for an open world Jump to: navigation, search For Python 3, see Non-Programmer's Tutorial for Python 3. Contents[edit] Authors Contributors to this book Front matter Initial remarks Intro Installing and using Python – where to get help Hello, World The famous first program – screen output – numbers and calculations Who Goes There?

Interactive input – strings Count to 10 while loops Decisions if statements Debugging Finding out what goes wrong Defining Functions Structuring programs with the use of functions Advanced Functions Example (Almost) mind-blowing example of how programmers can think Lists Variables containing more than one value For Loops A second kind of loop Boolean Expressions Computer logic – true and false – and and or – not Dictionaries Variables containing key/value pairs Using Modules Extensions to the standard set of functionality More on Lists Using elements or parts of lists Revenge of the Strings Advanced text manipulation File IO Views. Tutorial Introduction to PyMVPA — PyMVPA 2.3.0 documentation. In this tutorial we are going to take a look at all major parts of PyMVPA, introduce the most important concepts, and explore particular functionality in real-life analysis examples.

This tutorial also serves as basic course material for workshops on introductions to MVPA. Please contact us, if you are interested in hosting a PyMVPA workshop at your institution. Please note that this tutorial is only concerned with aspects directly related to PyMVPA. It does not teach basic Python programming. If you are new to Python, it is recommend that you take a look at the Tutorial Prerequisites for information about what you should know and how to obtain that knowledge. Throughout the tutorial there will be little exercises with tasks that are meant to deepen the understanding of a particular problem or to train important skills. Through the course of the tutorial we will analyze real BOLD fMRI data.

>>> from mvpa2.tutorial_suite import * <a href=" My First Deep Learning System 1991 / Deep Learning Timeline 1962-2013. In 2009, our Deep Learning Artificial Neural Networks became the first Deep Learners to win official international pattern recognition competitions [A9] (with secret test set known only to the organisers); by 2012 they had won eight of them [A12], including the first contests on object detection in large images [54] (at ICPR 2012) and image segmentation [53] (at ISBI 2012). In 2011, they achieved the world's first superhuman visual pattern recognition results [A11]. Others implemented variants and have won additional contests since 2012, e.g., [A12,A13]. The field of Deep Learning research is far older though (see timeline further down). My first Deep Learner dates back to 1991 [1,2]. The basic idea is still relevant today. One ancient illustrative Deep Learning experiment of 1993 [2] required credit assignment across 1200 time steps, or through 1200 subsequent nonlinear virtual layers.

Our GPU-MPCNN [21,A11] were adopted by the groups of Univ. . [1] J. . [2] J. . [3] S. . [4] S. . [4a] Y. You, Yes You, Can Analyze Data, Too. What does it take to break into the growing field of data analysis? To start, you’ll need the Internet, a computer, and some basic math skills. Big data is everywhere. You probably hear people talking about data on the subway, or the radio, or by the water cooler. You turn on the TV, and the news is all about data. We’re using data to find missing airplanes, become better managers, fight disease, fight crime, fight hunger, fight fires, fight scammers, and fight each other over data.

With all of these potential uses for data comes demand for people who can do something with it. Not one of them suggested enrolling at the local university. Data scientist salaries typically start in the low six figures. Brian Burke, founder of Advanced NFL Stats, is a former Navy fighter pilot and military contractor turned NFL data scientist. Of course, not every data scientist is an amateur gone pro. FIRST, THEY ALL SAY, stop relying on basic spreadsheets like Excel and learn a programming language. Sand Pile Model of the Mind Grows in Popularity. From Quanta Magazine (find original story here). In 1999, the Danish physicist Per Bak proclaimed to a group of neuroscientists that it had taken him only 10 minutes to determine where the field had gone wrong. Perhaps the brain was less complicated than they thought, he said. Perhaps, he said, the brain worked on the same fundamental principles as a simple sand pile, in which avalanches of various sizes help keep the entire system stable overall — a process he dubbed “self-organized criticality.”

As much as scientists in other fields adore outspoken, know-it-all physicists, Bak’s audacious idea — that the brain’s ordered complexity and thinking ability arise spontaneously from the disordered electrical activity of neurons — did not meet with immediate acceptance. But over time, in fits and starts, Bak’s radical argument has grown into a legitimate scientific discipline. Think of sand running from the top of an hourglass to the bottom. The brain is an incredibly complex machine. The Art of Complex Problem Solving. The 7 best ways to learn how to code | VentureBeat | Dev | by Devindra Hardawar. It’s never been a better time to pick up programming.

No matter your age or experience, a plethora of tools are available to get you started or to help you refine your programming chops. Best of all, many of those resources are free. You no longer have to spend countless hours trying to deconstruct new programming languages with no help beyond sparsely updated message boards and the good graces of patient IRC chat buddies. (In my day…) Now there are expertly written tutorials, helpful videos, and a wealth of other resources online. Maybe you’re just curious about what all this programming stuff is about. Maybe you’re just bored. Or maybe, you’ve got the kernel of an idea for the next Facebook. And, if you’ll forgive us for tooting our own horn, you should also check out an eighth resource: our upcoming DevBeat conference, Nov. 12-13 in San Francisco. Codecademy You won’t be going it alone either. Price: Free Skill level: Novice OpenCourseWare Consortium Coursera Khan Academy Treehouse.

Part 15: Humans Are (Blank)-ogamous: Lessons from Models of Sex and Love | Patrick F. Clarkin, Ph.D. The introduction to this series can be found here. Summary: There are many ways to put a human life together, including for sex and love. Each path has tradeoffs. Happiness is love. Full stop. – George Vaillant I thought I knew what love was. There are all kinds of love in this world, but never the same love twice. – F. Nothing in life is to be feared; it is only to be understood. – Marie Curie “Mom, love is love, whatever you are.” In the most important sense, which is of course the sense that Jackson meant, love is love, irrespective of one’s sexuality, gender, or ethnicity.

However, in another sense, we also know that there are different kinds of love. From a research perspective, Ellen Berscheid (2006) noted that the study of love is complicated by the fact that that it has no ready definition, despite its ubiquity. How well do those models (or neat piles) match reality? Taxonomies of Love Sorting through some of the various taxonomies of love. Limerence and Love 1. A Map for the Future of Neuroscience. On Monday, the National Institutes of Health released a fifty-eight-page report on the future of neuroscience—the first substantive step in developing President Obama’s BRAIN Initiative, which seeks to “revolutionize our understanding of the human mind and uncover new ways to treat, prevent, and cure brain disorders like Alzheimer’s, schizophrenia, autism, epilepsy, and traumatic brain injury.”

Assembled by an advisory panel of fifteen scientists led by Cori Bargmann, of Rockefeller University, and William Newsome, of Stanford, the report assesses the state of neuroscience and offers a vision for the field’s future. The core challenge, as the report puts it, is simply that “brains—even small ones—are dauntingly complex”: To tackle the brain’s immense complexity, the report outlines nine goals for the initiative. The most important goal, in my view, is buried in the middle of the list at No. 5, which seeks to link human behavior with the activity of neurons. But these are quibbles. The Threat of Artificial Intelligence. If the New York Times’s latest article is to be believed, artificial intelligence is moving so fast it sometimes seems almost “magical.” Self-driving cars have arrived; Siri can listen to your voice and find the nearest movie theatre; and I.B.M. just set the “Jeopardy”-conquering Watson to work on medicine, initially training medical students, perhaps eventually helping in diagnosis.

Scarcely a month goes by without the announcement of a new A.I. product or technique. Yet, some of the enthusiasm may be premature: as I’ve noted previously, we still haven’t produced machines with common sense, vision, natural language processing, or the ability to create other machines. Our efforts at directly simulating human brains remain primitive. Still, at some level, the only real difference between enthusiasts and skeptics is a time frame.

The futurist and inventor Ray Kurzweil thinks true, human-level A.I. will be here in less than two decades. For some people, that future is a wonderful thing. New Methods in Nonperturbative Quantum Field Theory | KITP. Quantum field theory has been the fundamental framework of quantum physics for well over half a century, but many open questions remain about its behavior at strongly coupling. In recent years new methods have arisen to address this. The purpose of this program is to develop these methods and the connections between them. Questions of interest include general constraints on renormalization flows, such as monotonicity, and their relation with entanglement entropy; conformal correlation functions and bootstrap methods; the conformal window in four dimensional gauge theories and the application of conformal theories to model building; exact results in supersymmetric theories, by localization and other methods; relations between field theories in different dimensions; connections with integrability; higher spin gravity theories, and their holographic connection with CFTs.

Some big questions are: Can gauge/gravity duality be derived, for example from the renormalization group? Spooky Physics Phenomenon May Link Universe's Wormholes. Wormholes — shortcuts that in theory can connect distant points in the universe — might be linked with the spooky phenomenon of quantum entanglement, where the behavior of particles can be connected regardless of distance, researchers say. These findings could help scientists explain the universe from its very smallest to its biggest scales. Scientists have long sought to develop a theory that can describe how the cosmos works in its entirety. Currently, researchers have two disparate theories, quantum mechanics and general relativity, which can respectively mostly explain the universe on its tiniest scales and its largest scales. There are currently several competing theories seeking to reconcile the pair. One prediction of the theory of general relativity devised by Einstein involves wormholes, formally known as Einstein-Rosen bridges.

"This is true even when the electrons are light years apart," saidKristan Jensen, a theoretical physicist at Stony Brook University in New York. Master monkey's brain controls sedated 'avatar' The Coming Technological Singularity. The Pitch Drop Experiment | School of Mathematics and Physics. Scientists put free text-analysis tool on the web. The New York Times’ R&D Lab is building a quantified-self, semantic-analysis tool to track web browsing.

Course Catalogue. Course Catalogue. Eureqa Desktop | Nutonian, Inc. The 70 Online Databases that Define Our Planet. The Tehran Connection - By Kalev Leetaru. The Art of Data Visualization | Off Book | PBS.


Artifiial Intelligence. General Programming. Math.