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If you bleed red,white and blue and know some geo-spatial analysis ,social network analysis and some supervised and unsupervised learning (and unlearning)- here is a chance for you to put your skills for an awesome project
For this challenge, Darpa will lodge a selected six to eight teams at George Mason University and provide them with an initial $10,000 for equipment and access to unclassified data sets including “ground-level video of human activity in both urban and rural environments; high-resolution wide-area LiDAR of urban and mountainous terrain, wide-area airborne full motion video; and unstructured amateur photos and videos, such as would be taken from an adversary’s cell phone.” However, participants are encouraged to use any open sourced, legal data sets they want. (In the hackathon spirit, we would encourage the consumption of massive quantities of pizza and Red Bull, too.)
DARPA Innovation House Project
Proposals must be one to three pages. Team resumes of any length must be attached and do not count against the page limit. Proposals must have 1-inch margins, use a font size of at least 11, and be delivered in Microsoft Word or Adobe PDF format.
Proposals must be emailed to InnovationHouse@c4i.gmu.edu by 4:00PM ET on Tuesday, July 31, 2012.
Proposals must have a Title and contain at least the following sections with the following contents.
- Team Members
Each team member must be listed with name, email and phone.
The Lead Developer should be indicated.
The statement “All team members are proposed as Key Personnel.” must be included.
- Capability Description
The description should clearly explain what capability the software is designed to provide the user, how it is proposed to work, and what data it will process.
In addition, a clear argument should be made as to why it is a novel approach that is not incremental to existing methods in the field.
- Proposed Phase 1 Demonstration
This section should clearly explain what will be demonstrated at the end of Session I. The description should be expressive, and as concrete as possible about the nature of the designs and software the team intends to produce in Session I.
- Proposed Phase 2 Demonstration
This section should clearly explain how the final software capability will be demonstrated as quantitatively as possible (for example, positing the amount of data that will be processed during the demonstration), how much time that will take, and the nature of the results the processing aims to achieve.
In addition, the following sections are optional.
- Technical Approach
The technical approach section amplifies the Capability Description, explaining proposed algorithms, coding practices, architectural designs and/or other technical details.
- Team Qualifications
Team qualifications should be included if the team?s experience base does not make it obvious that it has the potential to do this level of software development. In that case, this section should make a credible argument as to why the team should be considered to have a reasonable chance of completing its goals, especially under the tight timelines described.
Other sections may be included at the proposers? discretion, provided the proposal does not exceed three pages.
I liked the design, user interfaces and the conceptual ideas behind the latest Anonymous hactivist websites (much better than the shabby graphic design of Wikileaks, or Friends of Wikileaks, though I guess they have been busy what with Julian’s escapades and Syrian emails)
I disagree (and let us agree to disagree some of the time)
with the complete lack of respect for Graphical User Interfaces for tools. If dDOS really took off due to LOIC, why not build a GUI for SQL Injection (or atleats the top 25 vulnerability testing as by this list http://www.sans.org/top25-software-errors/
Shouldnt Tor be embedded within the next generation of Loic.
Automated testing tools are used by companies like Adobe (and others)… so why not create simple GUI for the existing tools.., I may be completely offtrack here.. but I think hacker education has been a critical misstep[ that has undermined Western Democracies preparedness for Cyber tactics by hostile regimes)…. how to create the next generation of hackers by easy tutorials (see codeacademy and build appropriate modules)
-A slick website to be funded by Bitcoins (Money can buy everything including Mastercard and Visa, but Bitcoins are an innovative step towards an internet economy currency)
-A collobrative wiki
Seriously dude, why not make this a part of Wikipedia- (i know Jimmy Wales got shifty eyes, but can you trust some1 )
-Analytics for Anonymous (sighs! I should have thought about this earlier)
http://anonanalytics.com/ (can be used to play and bill both sides of corporate espionage and be cyber private investigators)
What We Do
We provide the public with investigative reports exposing corrupt companies. Our team includes analysts, forensic accountants, statisticians, computer experts, and lawyers from various jurisdictions and backgrounds. All information presented in our reports is acquired through legal channels, fact-checked, and vetted thoroughly before release. This is both for the protection of our associates as well as groups/individuals who rely on our work.
_and lastly creative content for Pinterest.com and Public Relations ( what next-? Tom Cruise to play Julian Assange in the new Movie ?)
http://www.par-anoia.net/ />Potentially Alarming Research: Anonymous Intelligence AgencyInformation is and will be free. Expect it. ~ Anonymous
Links of interest
- Latest Scientology Mails (Austria)
- Full FBI call transcript
- Arrest Tracker
- HBGary Email Viewer
- The Pirate Bay Proxy
- We Are Anonymous – Book
- To be announced…
Here is an interview with JJ Allaire, founder of RStudio. RStudio is the IDE that has overtaken other IDE within the R Community in terms of ease of usage. On the eve of their latest product launch, JJ talks to DecisionStats on RStudio and more.
Ajay- So what is new in the latest version of RStudio and how exactly is it useful for people?
JJ- The initial release of RStudio as well as the two follow-up releases we did last year were focused on the core elements of using R: editing and running code, getting help, and managing files, history, workspaces, plots, and packages. In the meantime users have also been asking for some bigger features that would improve the overall work-flow of doing analysis with R. In this release (v0.95) we focused on three of these features:
Projects. R developers tend to have several (and often dozens) of working contexts associated with different clients, analyses, data sets, etc. RStudio projects make it easy to keep these contexts well separated (with distinct R sessions, working directories, environments, command histories, and active source documents), switch quickly between project contexts, and even work with multiple projects at once (using multiple running versions of RStudio).
Version Control. The benefits of using version control for collaboration are well known, but we also believe that solo data analysis can achieve significant productivity gains by using version control (this discussion on Stack Overflow talks about why). In this release we introduced integrated support for the two most popular open-source version control systems: Git and Subversion. This includes changelist management, file diffing, and browsing of project history, all right from within RStudio.
Code Navigation. When you look at how programmers work a surprisingly large amount of time is spent simply navigating from one context to another. Modern programming environments for general purpose languages like C++ and Java solve this problem using various forms of code navigation, and in this release we’ve brought these capabilities to R. The two main features here are the ability to type the name of any file or function in your project and go immediately to it; and the ability to navigate to the definition of any function under your cursor (including the definition of functions within packages) using a keystroke (F2) or mouse gesture (Ctrl+Click).
Ajay- What’s the product road map for RStudio? When can we expect the IDE to turn into a full fledged GUI?
JJ- Linus Torvalds has said that “Linux is evolution, not intelligent design.” RStudio tries to operate on a similar principle—the world of statistical computing is too deep, diverse, and ever-changing for any one person or vendor to map out in advance what is most important. So, our internal process is to ship a new release every few months, listen to what people are doing with the product (and hope to do with it), and then start from scratch again making the improvements that are considered most important.
Right now some of the things which seem to be top of mind for users are improved support for authoring and reproducible research, various editor enhancements including code folding, and debugging tools.
What you’ll see is us do in a given release is to work on a combination of frequently requested features, smaller improvements to usability and work-flow, bug fixes, and finally architectural changes required to support current or future feature requirements.
While we do try to base what we work on as closely as possible on direct user-feedback, we also adhere to some core principles concerning the overall philosophy and direction of the product. So for example the answer to the question about the IDE turning into a full-fledged GUI is: never. We believe that textual representations of computations provide fundamental advantages in transparency, reproducibility, collaboration, and re-usability. We believe that writing code is simply the right way to do complex technical work, so we’ll always look for ways to make coding better, faster, and easier rather than try to eliminate coding altogether.
Ajay -Describe your journey in science from a high school student to your present work in R. I noticed you have been very successful in making software products that have been mostly proprietary products or sold to companies.
Why did you get into open source products with RStudio? What are your plans for monetizing RStudio further down the line?
JJ- In high school and college my principal areas of study were Political Science and Economics. I also had a very strong parallel interest in both computing and quantitative analysis. My first job out of college was as a financial analyst at a government agency. The tools I used in that job were SAS and Excel. I had a dim notion that there must be a better way to marry computation and data analysis than those tools, but of course no concept of what this would look like.
From there I went more in the direction of general purpose computing, starting a couple of companies where I worked principally on programming languages and authoring tools for the Web. These companies produced proprietary software, which at the time (between 1995 and 2005) was a workable model because it allowed us to build the revenue required to fund development and to promote and distribute the software to a wider audience.
By 2005 it was however becoming clear that proprietary software would ultimately be overtaken by open source software in nearly all domains. The cost of development had shrunken dramatically thanks to both the availability of high-quality open source languages and tools as well as the scale of global collaboration possible on open source projects. The cost of promoting and distributing software had also collapsed thanks to efficiency of both distribution and information diffusion on the Web.
When I heard about R and learned more about it, I become very excited and inspired by what the project had accomplished. A group of extremely talented and dedicated users had created the software they needed for their work and then shared the fruits of that work with everyone. R was a platform that everyone could rally around because it worked so well, was extensible in all the right ways, and most importantly was free (as in speech) so users could depend upon it as a long-term foundation for their work.
So I started RStudio with the aim of making useful contributions to the R community. We started with building an IDE because it seemed like a first-rate development environment for R that was both powerful and easy to use was an unmet need. Being aware that many other companies had built successful businesses around open-source software, we were also convinced that we could make RStudio available under a free and open-source license (the AGPLv3) while still creating a viable business. At this point RStudio is exclusively focused on creating the best IDE for R that we can. As the core product gets where it needs to be over the next couple of years we’ll then also begin to sell other products and services related to R and RStudio.
In 1995 Joseph J. (JJ) Allaire co-founded Allaire Corporation with his brother Jeremy Allaire, creating the web development tool ColdFusion. In March 2001, Allaire was sold to Macromedia where ColdFusion was integrated into the Macromedia MX product line. Macromedia was subsequently acquired by Adobe Systems, which continues to develop and market ColdFusion.
After the sale of his company, Allaire became frustrated at the difficulty of keeping track of research he was doing using Google. To address this problem, he co-founded Onfolio in 2004 with Adam Berrey, former Allaire co-founder and VP of Marketing at Macromedia.
On March 8, 2006, Onfolio was acquired by Microsoft where many of the features of the original product are being incorporated into the Windows Live Toolbar. On August 13, 2006, Microsoft released the public beta of a new desktop blogging client called Windows Live Writer that was created by Allaire’s team at Microsoft.
Starting in 2009, Allaire has been developing a web-based interface to the widely used R technical computing environment. A beta version of RStudio was publicly released on February 28, 2011.
JJ Allaire received his B.A. from Macalester College (St. Paul, MN) in 1991.
RStudio is an integrated development environment (IDE) for R which works with the standard version of R available from CRAN. Like R, RStudio is available under a free software license. RStudio is designed to be as straightforward and intuitive as possible to provide a friendly environment for new and experienced R users alike. RStudio is also a company, and they plan to sell services (support, training, consulting, hosting) related to the open-source software they distribute.
Another analytics takeover. Adobe needing to do something exciting and cash generating made a smart play with a 50 % premium for Omniture- with the amount of web traffic that adobe is embedded into (from documents ,graphics and videos especially) Adding in analytics can only mean better growth prospects for both given the pressure they are likely to face soon from competing products ( MS Silverlight and Yahoo Index Tools, Google Analytics respectively).
From the Press Release (note the cute diagram)
Adobe to Acquire Omniture
On Sept. 15, 2009, Adobe Systems Incorporated (Nasdaq:ADBE) and Omniture, Inc. (Nasdaq:OMTR) announced the two companies have entered into a definitive agreement for Adobe to acquire Omniture in a transaction valued at approximately $1.8 billion on a fully diluted equity-value basis. Under the terms of the agreement, Adobe will commence a tender offer to acquire all of the outstanding common stock of Omniture for $21.50
per share in cash.
Adobe’s acquisition of Omniture furthers its mission to revolutionize the way the world engages with ideas and information. By combining Adobe’s content creation tools and ubiquitous clients with Omniture’s Web analytics, measurement and optimization technologies, Adobe will be well positioned to deliver solutions that can transform the future of engaging experiences and e-commerce across all digital content, platforms and devices.
The combination of the two companies will increase the value Adobe delivers to customers. For designers, developers and online marketers, an integrated workflow—with optimization capabilities embedded in the creation tools—will streamline the creation and delivery of relevant content and applications. This optimization will enable advertisers and advertising agencies, publishers, and e-tailers to realize greater ROI from their digital media investments and improve their end users’ experience
And the official fact sheet
- FOUNDED: 1982
- PRESIDENT & CEO: Shantanu Narayen
- MARKET CAP: $18.19 billion (as of 9/11/09)
- FY 08 REVENUE: US $3.58 billion (FYE Nov. 28, 2008)
- CO-FOUNDER & CEO: Josh James
- FOUNDED: 1996
- MARKET CAP: $1.29 billion (as of 9/11/09)
- FY 08 REVENUE: US $295.6 million (FYE Dec. 31, 2008)