Most internet users are familiar with internet errors such as 404 Not Found and 403 Forbidden. However, there’s a new internet status code that is being proposed by Tim Bray, a developer advocate – for sites that are blocked for ‘legal reasons’.

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Bray, who has experience in developing key Internet standards, says, “I’ve been told by the chair of the IETF HTTP Working Group that he’ll give the proposal some agenda time at the next IETF meeting. It’s not a big proposal; shouldn’t take long.”

However, the recognition for the need of a new code first started when Terence Eden tried to access The Pirate Bay to no avail. When the site’s server denied his request, Eden then expressed the need for a new “HTTP code for censorship”, which not only caught on sparking discussions on Slashdot and Hacker News – until the time when Bray agreed to turn the ‘idea’ into reality.

With the code (451) taken aptly from Ray Bradbury’s novel, Farenheit 451, which deals with censorship, the proposal for the error code if approved, will not only furnish the details on the restriction but also mention which legal authority is imposing the restriction as well.

Bray also thinks that once official consensus is reached, there would little or no work on the engineering side in order for servers to provide “explanatory text with a 451”. In the end, of course, this effort is to ensure that when censorship does happen, it takes place out in the open and thus, provides pertinent information for users everywhere.

A question that has been asked about Twitter over the years is whether it is a technology or media company. The answer, in not being so simple, is simply a variation of both – according to Dick Costolo, CEO of Twitter.


He explains further, in saying, “I think of us as a technology company because I think the future of the company is in building on an extensible platform that allows third-party developers and companies to add value to Twitter in a way that is accretive to Twitter and is accretive to our users. I don’t need to be or want to be in the content business.”

To support his statement, he also mentioned that is not in the content business because instead of having reporters or a newsroom, almost half of Twitter’s employees [1300 in number] are engineers who are working on building the technology around which Twitter runs on while also continuously creating new features for its users.

In fact, he also wishes to encourage companies and developers to build products and tools inside the Twitter platform – instead of creating external Twitter apps.

Speaking of new features, Twitter as a whole, is also evolving into something different by experimenting with media-like products some of which NASCAR and Olympics-branded pages. Twitter currently also has employees that help V.I.Ts such as athletes, media outlets, politicians and celebrities to use its features well. Thanks to this content available by V.I.Ts, “engagement rates on ads” are also great as opposed to traditional Web ads.

Yet even though Costolo still maintains the fact that Twitter has and always been a communication platform, experts think that these ‘experiments’ being conducted make Twitter more of a media company.

Hello and we would like to thank you for visiting this blog of ours. We really hope you will gain something after reading this technology blog. As we all know, technology is changing drastically. The latest iPhone you are using right now might become just an ordinary iPhone when the latest version come out in the market. We cannot cope with this sudden technologies changes, but we can provide you with the current issues regarding technologies. Hopefully you will keep on visiting this blog of ours. Thanks.


Written by: Denton Vacuum, LLC

Summary: Ion beam deposition plays an integral role in the development of chips.

The microelectronics industry will always be continuously progressing towards more advanced technology through the development of new circuits. When it comes to the fabrication of integrated circuits, the industry is trending towards a higher density chip and a smaller feature size.

An In-Depth Look Into Microelectronics

For instance, ever notice how electronics in this day and age are becoming thinner and lighter? Today’s generation loves handheld products that are lightning fast and are capable of performing tasks that make mundane actions seem futuristic. Now, this trend has definitely piqued the interest of numerous types of ion beam etching technologies for pattern replication. One of these emerging technologies consists of a higher resolution, as well as a greater dimensional control, and a higher yield than your convention wet chemical etching.

Ion beam sputter deposition has played a significant role in the upward trend of new circuitry technologies. This process also plays a large role in developing successful applications of ion beam etching to patterning high density circuitry. It’s a vast industry that’s only growing larger and larger. The trend continues to move towards a smaller and faster type of microchip. It won’t be long before they’re essentially too small for the naked eye to see.


The Bottom Line


All in all, microelectronics today are continuously paving the way for new products and advanced units of circuitry. Sputtering systems are continuously adapting to this new trend and new models are constantly coming out to achieve this balance.

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When setting up a new data center, cooling is one of the most important elements after power and network capacity. Here are the most important considerations for cooling:

Thermal load – Determine the amount of cooling required for the server room. This is based on the thermal load of the equipment. There are labels with the thermal load on the back of each server. Alternatively, calculate the total wattage or get an electrical contractor in to determine the heat load and the BTU required. When spot cooling is an option, calculate the load per zone.

Temperature – The ideal temperature for a server room is 70 degrees f. However, large data center operations run by companies like Google maintain much higher temperatures. The tradeoff here is on the lifetime of the equipment and redundancy. Except for large data centers, the method of cooling is not important as long as the temperature is maintained. It can be portable AC units or split types.

Redundancy – There has to be a backup for whatever cooling method in use. The best solution is to have one or more portable AC units available for immediate use. This way any breakdown does have any immediate impact on operations.

Servicing – Any air conditioning solutions should be easily serviceable. This is dependent on the size and the area immediately surrounding the room. This affects the placement and the type of AC unit.


Look to for your data center, industrial or spot cooling needs.

Today’s large-scaled locomotive run at a minimum of 3,000 horses.

modern-locomotiveWhen it comes to diesel locomotive engines, you can surely expect one thing – turbocharged. Today’s locomotive engines are mostly equipped with a turbocharged, diesel engine that essentially doubles the power of a standard V-8 engine. Not only does this mean horsepower in the range of 3,000 and up, but it’s also pumping from 12 cylinders.

The Skinny on Diesel Engines

This shouldn’t come as a surprise considering the amount of weight that locomotives need to haul on a daily basis. Furthermore, the engine turbine starting process requires a steady and complex engine to ensure that it can handle the amount that it’s pulling as well.

Now, the aforementioned may be known by many but are you aware that most trains operate on a two-stroke cycle as opposed to a four-stroke cycle? Most of the smaller diesel engines will utilize a four-stroke diesel cycle, as they don’t require a huge load to haul. However, the larger engines will find that they can produce twice as many combustion events per revolution, which in turn will produce more power.

Diesel engines are massive. There’s no doubt about that. They’re massive to the point that it takes over 20 V-8 car engines to match the amount of horsepower that a standard two-stroke engine is capable of. The reason behind this design is that most trains require a continuous amount of horsepower. And, with the design, the engine can pump out 3,200 horses without any significant drops. Think of it this way, if you ran your car on that power, it probably wouldn’t last more than a couple days.

The Generator System

The engine itself is also attached to a hefty generator system. At peak power, this generator can power a neighborhood of over 1,000 houses without breaking a sweat. That’s some serious wattage that’s going on within a system. This power system goes into four electric motors that are located in the trucks. The power is circulate throughout the train, providing adequate surges to vital components that require it. Now, if a train requires an additional amount to help the startup sequence, one could find a railroad locomotive starter assisting the primary train. These portable power devices may look lacking in size, but what they lack in dimensions, they make up in the amount of power they can contribute. These units continue to play a pivotal role in the locomotive industry.

Start Pac is your number one manufacturer for the best portable power supplies around. Visit them online for more information.

gigatech2One of the biggest issues for smartphone users is bandwidth usage. There are very few true unlimited data plans anymore. This has become a problem due to the rising sizes of web pages. Most web pages now average 16MB and are growing rapidly every year. Ad blockers help on the desktop but there is no easy solution on smartphones. Google just made a big breakthrough in viewing images online.

Google scientists have used machine learning to keep the sizes of image small without any corresponding reduction in quality. According to the scientists, the resulting file size is 75% smaller than the original image.

This new technique is RAISR. It stands for “Rapid and Accurate Image Super-Resolution.” Normally, when resizing an image, it loses quality. RAISR can take a low-quality image and increase its resolution. It does this while maintaining detail during the upsampling process. It enhances the end image by using filters.

Almost anyone who has used an image editing application knows what happens when you take a smaller image and try to make it bigger. The result is a blurry and sometimes blocky image. When comparing images processed with RAISR, the gain in quality is clear.

The RAISR system has been trained using machine learning. The training involved feeding low-quality and high-quality version of the same image. This way, it was able to figure out which filters worked best to restore the most amount of detail.

robot  women in technology background

robot women in technology background

Just a few years ago, artificial intelligence was the subject of science fiction. Now, not a single day goes by without some AI or machine learning driven advance. To be clear, when we talk about AI today, we refer to machine learning. It is using artificial intelligence to teach computers without any actual programming. Even in such a short span of time, it is already changing the way we do things.

Let us look at a few examples of machine learning implementation:

Sales – Platforms like are using machine learning to help sales teams target leads. Using data gathered from years of sales, the system could flag which leads have a higher probability of translating into sales.

Imaging – The primary example is of Google using machine learning to teach a computer how to upscale an image. The training used several thousand images. First, it analyzed the full-size image and then an image about a quarter of its size. It was then able to take any smaller image and produce a larger version with as much or more detail.

Language – Google also uses machine learning extensively on languages. The primary use so far has been in translation. For that to work, however, it required training on understanding the languages and then translating.

This is a small sample of how AI is becoming the next big thing in tech. So far, Google is in the lead with IBM not so far behind. Apple, Amazon, and Microsoft are all building out machine learning capability.