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Showing posts with label computers. Show all posts
Showing posts with label computers. Show all posts

Friday, December 16, 2016

Computers start to learn like us

Its always nice to see an article on A.I. in the local newspaper, The New Zealand Herald. So the article titled Autocorrect fails could be distant mammary as computers start to learn like us, by Sarah Knapton made for an interesting read. Heres a quote: "Most mobile phone users have suffered the indignity of an embarrassing autocorrect mistake, but smartphones may soon be smart enough to understand what we are trying to say." Scientists claim that for the first time, they have programmed a machine to learn in the same way as humans. I recommend the full article.

from The Universal Machine http://universal-machine.blogspot.com/

IFTTT

Put the internet to work for you.

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Thursday, August 11, 2016

Free Language Lessons for Computers



Not everything that can be counted counts.
Not everything that counts can be counted.
- William Bruce Cameron

50,000 relations from Wikipedia. 100,000 feature vectors from YouTube videos. 1.8 million historical infoboxes. 40 million entities derived from webpages. 11 billion Freebase entities in 800 million web documents. 350 billion words’ worth from books analyzed for syntax.

These are all datasets that we’ve shared with researchers around the world over the last year from Google Research.

But data by itself doesn’t mean much. Data is only valuable in the right context, and only if it leads to increased knowledge. Labeled data is critical to train and evaluate machine-learned systems in many arenas, improving systems that can increase our ability to understand the world. Advances in natural language understanding, information retrieval, information extraction, computer vision, etc. can help us tell stories, mine for valuable insights, or visualize information in beautiful and compelling ways.

That’s why we are pleased to be able to release sets of labeled data from various domains and with various annotations, some automatic and some manual. Our hope is that the research community will use these datasets in ways both straightforward and surprising, to improve systems for annotation or understanding, and perhaps launch new efforts we haven’t thought of.

Here’s a listing of the major datasets we’ve released in the last year, or you can subscribe to our mailing list. Please tell us what you’ve managed to accomplish, or send us pointers to papers that use this data. We want to see what the research world can do with what we’ve created.

50,000 Lessons on How to Read: a Relation Extraction Corpus

What is it: A human-judged dataset of two relations involving public figures on Wikipedia: about 10,000 examples of “place of birth” and 40,000 examples of “attended or graduated from an institution.”
Where can I find it: https://code.google.com/p/relation-extraction-corpus/
I want to know more: Here’s a handy blog post with a broader explanation, descriptions and examples of the data, and plenty of links to learn more.

11 Billion Clues in 800 Million Documents

What is it: We took the ClueWeb corpora and automatically labeled concepts and entities with Freebase concept IDs, an example of entity resolution. This dataset is huge: nearly 800 million web pages.
Where can I find it: We released two corpora: ClueWeb09 FACC and ClueWeb12 FACC.
I want to know more: We described the process and results in a recent blog post.

Features Extracted From YouTube Videos for Multiview Learning

What is it: Multiple feature families from a set of public YouTube videos of games. The videos are labeled with one of 30 categories, and each has an associated set of visual, auditory, and and textual features.
Where can I find it: The data and more information can be obtained from the UCI machine learning repository (multiview video dataset), or from Google’s repository.
I want to know more: Read more about the data and uses for it here.

40 Million Entities in Context

What is it: A disambiguation set consisting of pointers to 10 million web pages with 40 million entities that have links to Wikipedia. This is another entity resolution corpus, since the links can be used to disambiguate the mentions, but unlike the ClueWeb example above, the links are inserted by the web page authors and can therefore be considered human annotation.
Where can I find it: Here’s the WikiLinks corpus, and tools can be found to help use this data on our partner’s page: Umass Wiki-links.
I want to know more: Other disambiguation sets, data formats, ideas for uses of this data, and more can be found at our blog post announcing the release.

Distributing the Edit History of Wikipedia Infoboxes

What is it: The edit history of 1.8 million infoboxes in Wikipedia pages in one handy resource. Attributes on Wikipedia change over time, and some of them change more than others. Understanding attribute change is important for extracting accurate and useful information from Wikipedia.
Where can I find it: Download from Google or from Wikimedia Deutschland.
I want to know more: We posted a detailed look at the data, the process for gathering it, and where to find it. You can also read a paper we published on the release.
Note the change in the capital of Palau.


Syntactic Ngrams over Time

What is it: We automatically syntactically analyzed 350 billion words from the 3.5 million English language books in Google Books, and collated and released a set of fragments -- billions of unique tree fragments with counts sorted into types. The underlying corpus is the same one that underlies the recently updated Google Ngram Viewer.
Where can I find it: http://commondatastorage.googleapis.com/books/syntactic-ngrams/index.html
I want to know more: We discussed the nature of dependency parses and describe the data and release in a blog post. We also published a paper about the release.

Dictionaries for linking Text, Entities, and Ideas

What is it: We created a large database of pairs of 175 million strings associated with 7.5 million concepts, annotated with counts, which were mined from Wikipedia. The concepts in this case are Wikipedia articles, and the strings are anchor text spans that link to the concepts in question.
Where can I find it: http://nlp.stanford.edu/pubs/crosswikis-data.tar.bz2
I want to know more: A description of the data, several examples, and ideas for uses for it can be found in a blog post or in the associated paper.

Other datasets

Not every release had its own blog post describing it. Here are some other releases:
  • Automatic Freebase annotations of Trec’s Million Query and Web track queries.
  • A set of Freebase triples that have been deleted from Freebase over time -- 63 million of them.
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Sunday, March 20, 2016

Operating system History of computers

Operating System
   OS(Operating system), OSs are the backbone software to any computer it is the program that allows evering thing else to be added, it is the first piece of software you install on a newly build computer. OSs as we think of them today did not exist until the early 1960s. There are different types of user the two most common are command line and GUI(Graphical User Interface) command line was big in the 60s and 70s.



      The two biggest OSs today are Microsofts Windows OS, and Apples Macintosh OS. One of the first GUIs to hit the market was the Apple lisa. It did not sell very well due to the $10,000 price tag. Then apple came out with the macintosh and it sold well due to the drastic price drop. There are many smaller OSs that are gaining popularity one to note is Linux. Linux is built off of UNIX which is ca command line driven OS. Still used by many large corporations,but not the general public due to its large price tag. This is where linux comes in, linux and its variations which there are too many to list are free and some offer a GUI. Linux is a very popular OS which is one of the few that can act as a server with no 3rd party software.

Best creative commons example i could find.





History of computers
   Charles Babbage is the man credited with creating the concept of input,storage, processing,and output, when he outlined his idea of the ultimate calculator. The problem with his design was that it was mechanical and vulnerable to mechanical problems like wear. What made computers a viable thing instead of "Thing of fantasy" was the invention of electronic devices. With that we created the vacuum tube, then the transitor that replaced that, and is now the basis for all of our electronics today.


   




Sources: History of computers
             Operating systems
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Thursday, July 3, 2014

The Advantages Of Computers Recycling In Austin

By Leticia Jensen


According to the research done on electronics and computer production, a lot of wastes come from these products. In the US alone, about 3 million tons of these wastes are noticed every year. This is caused by the huge number of computers and electronics that are produced on daily basis. This calls for recycling of these electronics to avoid the wastes from posing danger to people and the surrounding. That is why computers recycling in Austin is highly encouraged these days.

Most people who use these gadgets nowadays have realized that new versions are being released to the market every day. Everyone wants to have a computer with the latest Pentium and specifications. Thus, they dump the ones they already have and acquire new ones. This has caused a lot of harm to the environment. The best way is to have these waste computers recycled. Below are reasons why old or used computers should be recycled.

The first thing is the health benefits. It is true that electronics are made using harmful metals and gases. An example of such metals is lead. If these products are dumped in landfills, they decay and the metals start producing harmful fumes that can be inhaled by people who live around the landfills. This can actually lead to health complications. Thus, there is need to recycle these electronics.

These e-wastes can pose danger to the environment. For instance, the chemicals that come out of these computer parts after they decay can be washed by rain water to various water sources. The poisoned water is taken by animals and also nearby bushes. This can cause a lot of danger to the surrounding and the best way is to have the wastes recycled.

If not recycled, these wastes can congest the landfills. This means that there will be no space to dump other wastes since the landfills will be highly congested. But if these wastes are recycled, you find that the landfills become less-congested and other types of wastes can fit in there.

This process can benefit both the consumers and the manufacturers. If you are a manufacturer, you can save a lot because the raw materials will be cheaper. Note that dealing with electronics can be costly and the cost can be cut if you re-use the old ones. The final products that reach the consumers will be relatively cheap since they come from recycled materials.

The process of recycling electronics ensures re-utilization of all the resources used in the initial manufacturing process. Taking an example of computer hardware, you find that it has small parts that are costly to manufacture. If the hardware is recycled, such parts can be used again to make other computers. This saves money to make new ones as well as the energy used in the manufacturing process.

You can actually prevent the abuse of resources if you opt for recycled products. Recycled products are quite affordable and can enable you to save money. Natural resources are greatly conserved since new computers are being made from old ones.




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Friday, May 23, 2014

Computers for Windows 7

Computers for Windows 7
The long awaited Windows 7 operating system is here and rumor has it, Microsoft will soon announce several new computers that are designed specifically to run the new OS. However, several computer manufacturers have beat Microsoft to the punch by releasing information about their own new models that will feature Windows 7. Several of them are specially designed to use the OSs touch-screen features.

Hewlett-Packard has four new computers, all with touch-screens. The cheapest of the bunch is the TouchSmart 300, a 20 inch screen desktop that will retail around $900. Next is the TouchSmart 600, also a desktop, sporting a 23-inch screen, and that will sell for about $1,100 (though for $500 more, you can get the version that is able to show video at 1080p resolution). For those not looking for a desktop, there is the TouchSmart tx2 - a tablet computer that will start around $800. And if you happen to be looking for 42-inch touch screen, the $2,800 LD4200tm is your computer.

If youre looking for super-cheap, Compaq (owned by Hewlett-Packard) will be releasing the CQ61z laptop, a 15-inch screen notebook. It doesnt have a touchscreen but it will sell for $399 until right around Christmastime when the price is expected to rise to $499.

Toshiba will release two new Satellite laptops, both with touch-screens. The M505 has a 14-inch screen and should sell for around $950, while the U505 13-inch screen with a "textured finish" will sell for about $1,050.
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