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Google Wifi is going to puck up the competition

(TECH NEWS) We will look back on this day and tell our children we remember when wifi wasn’t a guarantee, that we remember a day before Google Wifi.

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google wifi

This is pucking brilliant

Google’s brilliant minds are at it again bringing the latest and greatest wifi hardware to our inadequately covered homes. Never again will you have to get out of bed when your Netflix show stops and bring your iPad closer to the door to regain wifi signal. Never again will your backyard party go silent when Spotify loses connection. We will look back on this day and tell our children we remember when wifi wasn’t a guarantee, we remember a day before Google Wifi. That day, my friends is today.

But not for long. Google’s new wifi puck (what is it with cool tech hidden inside pucks these days?) will start shipping December 6th, and we couldn’t be more excited.

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Here’s the deal:

GoogleWifi is a router that supports an expandable mesh wireless network, which basically means you can add additional nodes (or routers) to the same network to increase wifi coverage.

Mesh networks are normally used to cast wifi across large campuses, connecting colleges, sports stadiums, or corporate buildings.

This is not like a wifi extender that repeats a weaker version of a router’s signal on a different network. Mesh systems create comprehensive coverage of the same wifi network throughout a home without weakening the signal at all. And no, I know what you’re thinking: they don’t all have to be plugged into ethernet (though your internet will be stronger if they are).

Every Google Wifi router casts the same wifi network seamlessly across a home. It automatically connects you to the strongest signal so you’ll never have low bars, and it manages device traffic so no one drops a Facetime call just because somebody was playing Call of Duty downstairs. If you have a small home (under 1500 square feet) you probably only need one router. Larger homes (3000-4500 square feet) could use the bundle of three routers.

Features and price point

Google Wifi’s mesh technology in itself not new. What is new is the price point, and some additional features. Google Wifi is off the shelf at $129 for a single package and $299 for the bundle of three. This is well below the price point for other popular mesh networks on offer — Eeros ($499 bundle of 3), the Netgear Orbi ($399 bundle of 3), and the Luma ($325 bundle of 3).

This is great news for people with smaller apartments and homes who still have wifi issues, but may not need three routers. This is especially great for anyone who occasionally needs internet on the back porch, near their smart fridge, or by that new wifi bird feeder camera.

Google Wifi also offers parental controls, like some other mesh networks, which allows owners of the network to refuse wifi to certain devices.

Through the Google Wifi App, users can easily share wifi passwords, and prioritize important devices on their home network.

Google Wifi is an enticing option at an even more enticing price point. Though they didn’t revolutionize home wifi mesh networks, they’re making them more accessible to everyone and they’re raising the bar. While Google Wifi is not yet available for immediate purchase, Google Store, Amazon, Walmart, and Best Buy are offering pre-order waitlists. Wifi frustrations, I’m hoping, will be a thing of the past before we know it.

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#GoogleWifi

C. L. Brenton is a staff writer at The American Genius. She loves writing about all things, she’s even won some contests doing it! For everything C. L. check out her website

Tech News

An industry first: IBM launches quantum developer certification program

(TECH NEWS) Developers with quantum computing skills can now prove they’ve mastered the subject with IBM’s first-ever Quantum Developer Certification.

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Quantum developer looking out of the window with a three monitor setup open to various coding programs.

Last week, IBM announced its first-ever developer certification for programming quantum computers, which is also the quantum industry’s first.

“Our team is extremely proud to be able to offer the first-ever quantum developer certification,” a company blog post read. “We hope its availability will provide a valuable learning path for developers and stakeholders looking to prepare themselves for quantum computing in the future.”

The IBM Quantum Developer Certification focuses on IBM’s software tools, specifically Qiskit, their open-source software development kit for quantum computing. Launched in 2017, Qiskit already has over 600,000 installs. And, it’s being used by developers to develop apps, improve code, and participate in hackathons and summer schools.

While the Quantum Developer Certification is the only quantum certification IBM offers now, it won’t be the last. IBM says it is “the first of several in a series of certifications.” This is part of the company’s quantum development roadmap to build a “diverse, global, cloud-based ecosystem of developers who can bring quantum computing skills to their own communities and industries.”

Offered through the Pearson VUE platform, the Quantum Developer Certification exam is 60 questions long. The exam will test a developer’s competency in the fundamentals of quantum computing concepts. Also, it will examine if a person can use Qiskit SDK from the Python programming language to “create and execute quantum computing programs on IBM quantum computers and simulators.”

This certification is exciting for the quantum community because it will officially demonstrate a person’s mastery of quantum computing. And, for the most part, I think most of us can agree that certifying your skills looks good on resumes, and it shows employers you’re serious about your career. However, getting one can be costly. Currently, IBM doesn’t have any scholarships in place, but they say they are working on rolling one out to those who are interested in getting certified.

Along with the certification, IBM is also supporting educators to prepare the future quantum workforce. They are giving educators access to IBM Quantum tools through their Quantum Educators Program and semester-long quantum computing course, Introduction to Quantum Computing and Quantum Hardware, and its free Qiskit digital textbook.

According to a report, quantum computing is predicted to become a $65 billion industry by 2030, and IBM wants to help companies “get their workforce quantum ready” for when it does.

“With our IBM Quantum Developer Certification, IBM Quantum is offering a path for people with all development backgrounds to earn a certification in programming with Qiskit, allowing them to leverage their quantum coding skills into a potential opportunity in this exciting new workforce,” the company blog post read.

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Tech News

Facebook is cracking down on Groups, here’s what you should know

(SOCIAL MEDIA) Facebook will be holding Facebook Groups who break the terms of service accountable with stricter punishments.

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Facebook Groups open on laptop in front of business woman dressed in white blouse.

In light of the capitol riots—and an increase in things like hate speech and vaccine conspiracies in the days leading up to them—Facebook will be holding Facebook Groups accountable in the days to come.

Facebook users have always had some degree of moderation, but much of that accountability has been contingent on others reporting errant behavior, often necessitating multiple reports across the board before resulting in some kind of action from the social media platform. This new initiative will put the magnifying glass over groups in general, making it harder for them to contain or endorse content that violates Facebook’s terms of use.

Penalties for breaking those terms will vary, but may include anything from restrictions to immediate removal from the platform depending on how “egregious” the offense is. Repeat offenders will eventually be removed.

Those restrictions aren’t exactly opaque, either. Facebook’s VP of engineering, Tom Alison, made the platform’s new priorities clear in a recent blog post: “Groups and members that violate our rules should have reduced privileges and reach, with restrictions getting more severe as they accrue more violations, until we remove them completely.”

This isn’t the first time that Facebook has addresses issues with their Groups system. They stopped recommending political groups to users outside of those communities back in November—something they said would not change after the election—and their push to show people who aren’t in Groups content from ones that might be interesting to them seems to be slowing.

In fact, those recommendations will be a factor in taking away power from Groups who break the guidelines. Offending Groups won’t necessarily show up in people’s recommendations—or they will show up far lower than other Groups—thus decreasing the number of people who can access them.

Facebook’s motive here is pretty clear. The social media platform has been criticized heavily in the past for everything from being lenient on hate speech to influencing political outcomes, and while it’s easy to deliberate the validity of some of those claims, it’s much harder to ignore the fact that the amount of harmful content on Facebook is debilitating—something against which they seem to be taking a firm stance with this new directive.

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Tech News

Internet of Things and deep learning: How your devices are getting smarter

(TECH NEWS) The latest neural network from Massachusetts Institute of Technology shows a great bound forward for deep learning and the “Internet of Things.”

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Woman using smart phone to control other devices in home, connected to deep learning networks

The deep learning that modifies your social media and gives you Google search results is coming to your thermostat.

Researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning system of neural networks that can be used in the “Internet of Things” (IoT). Named MCUNet, the system designs small neural networks that allow for previously unseen speed and accuracy for deep learning on IoT devices. Benefits of the system include energy savings and improved data security for devices.

Created in the early 1980s, the IoT is essentially a large group of everyday household objects that have become increasingly connected through the internet. They include smart fridges, wearable heart monitors, thermostats, and other “smart” devices. These gadgets run on microcontrollers, or computer chips with no processing system, that have very little processing power and memory. This has traditionally made it hard for deep learning to occur on IoT devices.

“How do we deploy neural nets directly on these tiny devices? It’s a new research area that’s getting very hot,” said Song Han, Assistant Professor of Computer Science at MIT who is a part of the project, “Companies like Google and ARM are all working in this direction.”

In order to achieve deep learning for IoT connected machines, Han’s group designed two specific components. The first is TinyEngine, an inference engine that directs resource management similar to an operating system would. The other is Tiny NAS, a neural architecture search algorithm. For those not well-versed in such technical terms, think of these things like a mini Windows 10 and machine learning for that smart fridge you own.

The results of these new components are promising. According to Han, MCUNet could become the new industry standard, stating that “It has huge potential.” He envisions the system has one that could help smartwatches not just monitor heartbeat and blood pressure but help analyze and explain to users what that means. It could also lead to making IoT devices far more secure than they are currently.

“A key advantage is preserving privacy,” says Han. “You don’t need to transmit the data to the cloud.”

It will still be a while until we see smart devices with deep learning capabilities, but it is all but inevitable at this point—the future we’ve all heard about is definitely on the horizon.

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