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Five Best Small Form Factor PCs. Tumblr Launches Creative Agency to Connect Artists With Advertisers. Hacking WEP (on an Orange Livebox) 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. You have seen how you can reuse code in your program by defining functions once.

A Byte of Python

What if you wanted to reuse a number of functions in other programs that you write? As you might have guessed, the answer is modules. There are various methods of writing modules, but the simplest way is to create a file with a .py extension that contains functions and variables. Another method is to write the modules in the native language in which the Python interpreter itself was written. 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.

PC Buying Guide > The Enthusiast's PC

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.

Running Linux From a USB Drive As a Virtual Machine or Bootable Disk

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. 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.

Tails 1.0 Download

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.

How to Create a HTPC with Bodhi Linux & XBMC. Non-Programmer's Tutorial for Python 2.6. 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.

Tutorial Introduction to PyMVPA — PyMVPA 2.3.0 documentation

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. 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).

My First Deep Learning System 1991 / Deep Learning Timeline 1962-2013

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). You, Yes You, Can Analyze Data, Too. What does it take to break into the growing field of data analysis?

You, Yes You, Can Analyze Data, Too

To start, you’ll need the Internet, a computer, and some basic math skills. Big data is everywhere. Sand Pile Model of the Mind Grows in Popularity. From Quanta Magazine (find original story here).

Sand Pile Model of the Mind Grows in Popularity

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.” The Art of Complex Problem Solving. The 7 best ways to learn how to code. It’s never been a better time to pick up programming.

The 7 best ways to learn how to code

No matter your age or experience, a plethora of tools are available to get you started or to help you refine your programming chops. Part 15: Humans Are (Blank)-ogamous: Lessons from Models of Sex and Love. The introduction to this series can be found here.

Part 15: Humans Are (Blank)-ogamous: Lessons from Models of Sex and Love

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. 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”: 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.

New Methods in Nonperturbative Quantum Field Theory. 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. Spooky Physics Phenomenon May Link Universe's Wormholes. Master monkey's brain controls sedated 'avatar' The Coming Technological Singularity. ==================================================================== The Coming Technological Singularity: How to Survive in the Post-Human Era Vernor Vinge Department of Mathematical Sciences San Diego State University (c) 1993 by Vernor Vinge (Verbatim copying/translation and distribution of this entire article is permitted in any medium, provided this notice is preserved.)

This article was for the VISION-21 Symposium sponsored by NASA Lewis Research Center and the Ohio Aerospace Institute, March 30-31, 1993. 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. Eureqa is a breakthrough technology that uncovers the intrinsic relationships hidden within complex data. Traditional machine learning techniques like neural networks and regression trees are capable tools for prediction, but become impractical when "solving the problem" involves understanding how you arrive at the answer.

The 70 Online Databases that Define Our Planet. Back in April, we looked at an ambitious European plan to simulate the entire planet. The idea is to exploit the huge amounts of data generated by financial markets, health records, social media and climate monitoring to model the planet’s climate, societies and economy. The Tehran Connection - By Kalev Leetaru. Iran's nuclear program has been one of the hottest topics in foreign policy for years, and attention has only intensified over the past few days, as an interim agreement was reached in Geneva to limit enrichment activity in pursuit of a more comprehensive deal.

The details of the deal itself are of course interesting, but in aggregate the news stories about Iran can tell us far more than we can learn simply by reading each story on its own. By using "big data" analytics of the world's media coverage, combined with network visualization techniques, we can study the web of relationships around any given storyline -- whether it focuses on an individual, a topic, or even an entire country. Using these powerful techniques, we can move beyond specifics to patterns -- and the patterns tell us that our understanding of Iran is both sharp and sharply limited.

The fact that this network accurately distinguishes internal and external leaders is a critical finding. The Art of Data Visualization.

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Artifiial Intelligence. General Programming. Math.