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NerdyData launches, makes search a trillion times better

Newly launched NerdyData allows you to search for the full source code of site, instead of just the text. Genius.

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Nerdy Data is a big deal. It searches all source code. Awesome.

No, you do not have to be a developer to find a use for this. The ability to search a page’s source code allows you track competitors, discover trends, and find where an image’s URL is being hotlinked, but first how does NerdyData do what it does?

NerdyData Co-Developer, Steven Sonnes, tells AG Beat their crawler has “visited over 140 million homepages and collected terabytes of HTML, Javascript, and CSS code.” Instead of having to sift through page after page, looking for code, NerdyData has designed an interface that allows anyone to search against the source code of webpages or even download a list of sites that contain a specific search term.

There is even an interface specifically designed for SEO’s and marketers which allow you the search for specific HTML tags (meta descriptions and meta keywords). This makes finding what you need a whole lot easier.

Now why would you want to do this?

By searching a page’s source code you have the potential to discover new leads that contain a specific keyword or phrase and when you subscribe, you can click the “view contact info” button in the NerdyData search results to get more information about the domain owner. Also, you can search a site for their client list, giving you new leads.

NerdyData gives the example of running a simple search for: “cdn.nameofsite.com” and you will be able to see every single one of their clients. You can also discover trends: how many people are using one thing versus another, but querying the search code. Also, you can research backlinks pointing to a URL, find out where an image URL is being hotlinked, and find live examples of how codes and themes are being used. The last one being of particular interest to developers and designers; it is so much easier to tweak your own code when you can see a live example of what it looks like.

I mentioned above that you can download a list of your search results; you can save these as a CSV, Excel, JSON, or plain text file. You can also share them with anyone or have the results send to you, or anyone on your team via email.

Testing it out

When I tried the search out for myself, I typed in the keyword: AGBeat. After a few seconds, there were 219 results returned, compared to Google’s 85,400 results (demo accounts are only able to search source code). Once you have rendered a search you can immediately see a source code snippet and the button to view the contact information.

You can sort your results by popularity or relevance and download the whole list with one click. There is a toolbar on the left side that shows your search history, as well as, image locator, backlinks, SEO search, and a comparison chart. You can also access support and documentation from your toolbar. Overall it is a very easy to use interface offering insight into source code, without having an extensive knowledge of it.

NerdyData offers three pricing levels: basic, professional and enterprise. At the basic level you receive 200 credits, ten results, and online support, but you do not have the ability to download or email results. At the professional level ($99/month), you receive 1,200 credits, 5,000 results, a refine tool, priority online support and the ability to download and email your results. And finally, at the enterprise level ($149/month), you get 3.000 credits, 100,000 results, a refine tool, email and online support, and the ability to download and email your results.

The results number is the number of results you are allowed to download or email, per month. If no results come back for the term you enter into the search bar, no credits are deducted. My “AGBeat” search cost two credits. To learn more about how these credits work, you can find more information on the NerdyData site.

Jennifer Walpole is a Senior Staff Writer at The American Genius and holds a Master's degree in English from the University of Oklahoma. She is a science fiction fanatic and enjoys writing way more than she should. She dreams of being a screenwriter and seeing her work on the big screen in Hollywood one day.

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China no longer dependent on U.S. for smartphone components

(TECH NEWS) Trump’s trade war, more specifically, the ban on shipping phone components, to China has begun to take a toll on chip manufacturing.

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Once upon a time, the U.S. and China were buddies, exporting and importing from each other with ease. However, President Trump’s recent actions regarding trade with China is certainly putting a damper on things.

It seems that Chinese companies have moved past the need to import certain products, like smartphone chips, from the U.S. – something they previously relied heavily on by working with American companies like Qorvo, Inc. in North Carolina, Skyworks, Inc. in Massachusetts, Broadcom, Inc. in California, and Cirrus Logic in Texas.

Since the ban in May, Trump specifically barred shipments from the U.S. from companies like Qualcomm and Intel Corp to companies like Chinese tech conglomerate, Huawei Technologies Co. But much like the bans that came before the Trump administration, it didn’t last long. With tensions high, the U.S. actually recently started rolling back some aspects of the ban and started making exceptions that allow American tech companies to continue to work with Chinese companies like Huawei.

Of course, China’s lack of U.S. parts hasn’t stopped them from rolling out new and improved products. As a matter of fact, in September, Huawei unveiled its newest phone, the Mate 30, which boasts highly-desired features, such as a curved screen and a wide angle camera. This makes the phone a pretty solid competitor of Apple’s newest iPhone, the iPhone 11, of which China was sent 10 million of in September and October.

After Huawei’s announcement, investment and banking firm UBS, and Japanese technology lab Fomalhaut Techno Solutions, partnered up and took to their labs to analyze the phone’s components. Their analysis was simple and straightforward. They found that there were absolutely zero American components in the phone. In fact, the chips in the Mate 30 are actually from Huawei’s in-house chip design agency, HiSilicon. They also provided Huawei with WiFi and Bluetooth chips. With HiSilicon’s 20 + years experience in the industry, 200+ chipsets, and 8000+ patents, it’s no wonder U.S. chip companies are getting nervous. Qualcomm, for example, announced a 31-40% decrease in estimated chip shipments over the next year.

Although the chip ban has made a big impact on larger U.S. companies who make and supply chips to China, there are still many other businesses that have been affected in Trump’s trade war. As it happens, U.S. Commerce Secretary Wilbur Ross recently confessed that, since May, when the ban was put in place, the U.S. has received at least 260 requests, asking that they excuse them from the ban and be allowed to work with China as they previously had.

But really, at the end of the day, with so many American companies relying on China for both import and export, it’s probable that the ban will be short-lived and that exceptions won’t need to be made. As Americans, we can be hopeful that the end-result of this trade war will be a positive one, but only time will tell.

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AI cameras could cut down traffic deaths, but there may be flaws

(TECH NEWS) Traffic accidents have plagued humanity since motor vehicles were created, can AI help cut down on text and drive incidents?

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What if we told you Australian officials believe they have found a way to reduce driving deaths by almost 30% in just two years? It’s a pretty appealing concept. After all, Australia alone faces an average of over 3 deaths a day due to driving accidents. And Australia’s average death rate clocks in at just half of what we face in the United States.

There’s just one problem with Australia’s proposed solution: it’s basically Big Brother.

Basically, Australia plans to use AI cameras to catch people texting and driving. There are plenty of places that have outlawed texting and driving, but that rule is very hard to enforce – it basically means catching someone in the act. With AI cameras, hands free driving can be monitored and fined.

Australia has already started rolling out some of these systems in South Wales. Because this is a new initiative, first time offenses will be let off with a warning. The following offenses can add up quickly, though, with fines anywhere from $233 to $309 USD. After a six month trial period, this program is projected to expand significantly.

But there are real concerns with this project.

Surprisingly, privacy isn’t one of these worries. Sure, “AI cameras built to monitor individuals” sounds like a plot point from 1984, but it’s not quite as dire as it seems. First, many places already have traffic cameras in order to catch things like people running red lights. More importantly, though, is the fact these machines aren’t being trained to identify faces. Instead, the machine learning for the cameras will focus on aspects of distracted driving, like hands off the wheel.

The bigger concern is what will come from placing the burden of proof on drivers. Because machine learning isn’t perfect, it will be paired with humans who will review the tagged photographs in order to eliminate false positives. The problem is, humans aren’t perfect either. There’s bound to be false positives to fall through the cracks.

Some worry that the imperfect system will slow down the judicial system as more people go to court over traffic violations they believe are unfair. Others are concerned that some indicators for texting while driving (such as hands off the wheel) might not simply apply texting. What if, for instance, someone was passing a phone to the back seat? Changing the music? There are subtleties that might not be able to be captured in a photograph or identified by an AI.

No matter what you think of the system, however, only time can tell if the project will be effective.

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Tech News

DeepComposer: AWS’ piano keyboard turns AI up to 11

(TECH NEWS) Amazon has been busy with machine learning, which includes a camera, a car, and now DeepComposer that’s able to add to classics on the fly

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Musicians, listen up, there’s a new kid in town, its name is DeepComposer and it’s coming to take your creativity and turn it up to 11.

Artificial Intelligence has taken a leap into what has long been considered the “pinnacle of human creativity”, as Amazon revealed what is said to be the world’s first machine learning-enabled keyboard capable of creating music.

Amazon unveiled its AWS DeepComposer keyboard Monday during AWS re:Invent, a learning conference Amazon Web Services hosted for the global cloud computing community in Las Vegas.

Demonstrating DeepComposer’s abilities, Dr. Matt Wood, Amazon’s VP of Artificial Intelligence, played a snippet of Beethoven’s “Ode to Joy” and then let the keyboard riff on it with drums, synthesizer, guitar, and bass, sharing a more rockin’ version of the masterpiece.

Generative AI, is considered by scientists at MIT to be one of the most promising advances in AI in the past decade, Wood told the crowd. Generative AI allows for a machine not only to learn from example, as a human would but to take it next level and connect the dots, making the next creative step to composing something completely new.

“It [Generative AI] opens the door to an entire world of possibilities for human and computer creativity, with practical applications emerging across industries, from turning sketches into images for accelerated product development, to improving computer-aided design of complex objects, Amazon said on its AWS re:Invent website.

How does it work? The Generative AI technique pits two different neural networks against each other to produce new and original digital works based on sample inputs, according to Amazon. The generator creates, the discriminator provides feedback for tweaks and together they create “exquisite music”, Wood explained.

A user inputs a melody on the keyboard, then using the console they choose the genre, rock, classical, pop, jazz or create your own and voila, you have a new piece of music. Then, if so desired users can share their creations with the world through SoundCloud.

This is the third machine learning teaching device Amazon has made available, according to TechCrunch. It introduced the DeepLens camera in 2017 and in 2018 the DeepRacer racing cars. DeepComposer isn’t available just yet, but AWS account holders can sign up for a preview once it is.

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