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Top 35 Torrent Download Sites: a Visual Guide to the Best Torrent Sites

Top 35 Torrent Download Sites: a Visual Guide to the Best Torrent Sites

http://netforbeginners.about.com/od/peersharing/tp/The-Top-35-Torrent-Sites-2011.htm

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Comparison of BitTorrent sites There are many different BitTorrent websites. They typically contain multiple torrent files and an index of those files. In a typical scenario, a user would enter such a site and browse or search for the content they desire, based on the torrent descriptions posted at the site by other users. If a torrent with the sought content is found, the user could download that torrent. Best Torrents: The Top 40 Torrent Download Sites of 2011 Updated May 11, 2016. Disclaimer: About.com does not condone the illegal sharing of copyrighted files. Please use good judgment when using a torrent file-sharing site. This list is in random order.

Artificial Intelligence and Machine Learning A Gaussian Mixture Model Layer Jointly Optimized with Discriminative Features within A Deep Neural Network Architecture Ehsan Variani, Erik McDermott, Georg Heigold ICASSP, IEEE (2015) Adaptation algorithm and theory based on generalized discrepancy Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina Proceedings of the 21st ACM Conference on Knowledge Discovery and Data Mining (KDD 2015) Adding Third-Party Authentication to Open edX: A Case Study John Cox, Pavel Simakov Proceedings of the Second (2015) ACM Conference on Learning @ Scale, ACM, New York, NY, USA, pp. 277-280 An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections Yu Cheng, Felix X.

isoHunt For years isoHunt's founder had been in legal battles with conglomerates of IP rights holders over allegations of copyright infringing activity. A settlement with MPAA was reached in 2013, that stipulated $110 million reimbursement for damages and the site's closure that followed on October 21, 2013. By the end of October, 2013 two sites with content presumably mirrored from isohunt.com were reported in computer media. One of them — isohunt.to — became a de facto replacement of the original site. History[edit] isoHunt was founded in January 2003 by Gary Fung, a Canadian national. More than 120.000 Wallpapers !!! Categories New Your account Register new account Recently viewed None... A new digital ecology is evolving, and humans are being left behind This is an excellent point. You mean something similar to Valve's fee on steam's marketplace? They take 10% cut out of every transaction, no matter how big or small. Unfortunately, it (the Tobin tax mentioned in the article ) is being resisted by some very powerful people. Not really, that's more akin to the capital gains tax already in place.

The Pirate Bay The Pirate Bay (commonly abbreviated TPB) is a website that provides magnet links to facilitate peer-to-peer file sharing using the BitTorrent protocol. The Pirate Bay is the most-used File Sharing site on the World Wide Web. [2]It was founded in Sweden in 2003. In 2009, the website’s founders were found guilty in Sweden for facilitating illegal downloading of copyrighted material.

Top 10 Most Popular Torrent Sites of 2011 As has become a tradition over the years, we present a list of the most visited BitTorrent sites of the new year. At the start of 2011 The Pirate Bay continues to pull in the most visitors, followed by Torrentz and isoHunt. Demonoid settles in fourth place thanks to a year without prolonged downtime, while LimeTorrents gets the honor of best newcomer. As Machines Get Smarter, Evidence They Learn Like Us The brain performs its canonical task — learning — by tweaking its myriad connections according to a secret set of rules. To unlock these secrets, scientists 30 years ago began developing computer models that try to replicate the learning process. Now, a growing number of experiments are revealing that these models behave strikingly similar to actual brains when performing certain tasks. Researchers say the similarities suggest a basic correspondence between the brains’ and computers’ underlying learning algorithms. The algorithm used by a computer model called the Boltzmann machine, invented by Geoffrey Hinton and Terry Sejnowski in 1983, appears particularly promising as a simple theoretical explanation of a number of brain processes, including development, memory formation, object and sound recognition, and the sleep-wake cycle. Multilayer neural networks consist of layers of artificial neurons with weighted connections between them.

The Pirate Bay is immune to SOPA Over on Techdirt, Mike Masnick has pointed out the mother of all ironies: The Pirate Bay, one of the largest outlets of copyright infringement, would be immune to the takedown tendrils of the imminently incoming Stop Online Piracy Act (SOPA). Apparently it all comes down to the fact that The Pirate Bay has a .org domain — and according to Masnick, the current version of the SOPA bill working its way through congress excludes American domestic domains from being the target of takedown notices from copyright holders. In this case, a “domestic domain” is any domain that comes from a TLD run by an American registry — and sure enough, .org’s registry is Public Interest Registry, a US non-profit based in Virginia. In other words, thepiratebay.org isn’t eligible for a SOPA-based takedown, even if its servers are based in Sweden or another country outside the US.

Top 15 Most Popular Torrent Websites Here are the top 15 Most Popular Torrent Sites as derived from our eBizMBA Rank which is a continually updated average of each website's U.S. Traffic Rank from Quantcast and Global Traffic Rank from both Alexa and SimilarWeb."*#*" Denotes an estimate for sites with limited data. 1 | ThePirateBay287 - eBizMBA Rank | 50,000,000 - Estimated Unique Monthly Visitors | 231 - Compete Rank | 538 - Quantcast Rank | 93 - Alexa Rank | Last Updated: May 1, 2017.The Most Popular Torrent Sites | eBizMBA

The Future of Machine Intelligence Ben Goertzel March 20, 2009 In early March 2009, 100 intellectual adventurers journeyed from various corners of Europe, Asia, America and Australasia to the Crowne Plaza Hotel in Arlington Virginia, to take part in the Second Conference on Artificial General Intelligence, AGI-09: a conference aimed explicitly at the grand goal of the AI field, the creation of thinking machines with general intelligence at the human level and ultimately beyond. While the majority of the crowd hailed from academic institutions, major firms like Google, GE, AT&T and Autodesk were also represented, along with a substantial contingent of entrepreneurs involved with AI startups, and independent researchers. Since I was the chair of the conference and played a large role in its organization – along with a number of extremely competent and passionate colleagues – my opinion must be considered rather subjective ... but, be that as it may, my strong feeling is that the conference was an unqualified success!

Baidu says its massive deep-learning system is nearly complete Chinese search engine company Baidu is working on a massive computing cluster for deep learning that will be 100 times larger than the cat-recognizing system Google famously built in 2012 and that should be complete in six months, Baidu Chief Scientist and machine leaning expert Andrew Ng told Bloomberg News in an article published on Wednesday. The size Ng is referring to is in terms of neural connections, not sheer server or node count, and will be accomplished via heavy use of graphics processing units, or GPUs. That Baidu is at work on such a system is hardly surprising: Ng actually helped build that system at Google (as part of a project dubbed Google Brain) and has been one of the leading voices in the deep learning community for years. He joined Baidu in May, working out of the company’s Silicon Valley office, in order to help advance its capabilities in artificial intelligence. Andrew Ng shows off some of Baidu’s deep learning applications during a July robotics conference.

Google preps wave of machine learning apps High performance access to file storage Google is preparing to unleash a wave of apps that get intelligence from its mammoth machine learning models. The apps will all rely on the neural networks Google has been developing internally to allow its systems to automatically classify information that has traditionally been tough for computers to parse.

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