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A Swedish startup has implanted micro-chips in its workers, will this be a new trend?

(TECH NEWS) A Swedish startup is using its employees as a test run for human micro-chipping.

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neural lace chips

Are you chipped?

A startup hub in Sweden is literally implanting microchips in their employees.

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So now the question is if you, dear reader, are a cyborg yet.

A shot of rice

The Swedish startup, Epicenter, is home to around 2,000 workers, and so far 150 have been chipped. The process is simple and pretty painless.

Self-described “body hacker” Jowan Osterlund comes in with a syringe and something the size of a grain of rice.

He slides the syringe into the fleshy part between your thumb and index finger, and in that moment you enter the world of William Gibson once and for all.

Well, you know, you can open doors and buy stuff with a wave of your hand. It’s basically the same.

Chipping humans

This technology isn’t new, but it’s rarely used on humans. Our pets, however, have been cyborgs for years, so that we can find them when they’re lost.

They run away, get taken to a vet or shelter, and scanned for cyborg-ness (AKA microchips).

And now we can be just like Fido. Epicenter and a very few other companies are pioneers of widespread human chipping, and they insist it’s something to celebrate. In fact, workers at Epicenter actually throw parties for the soon-to-be chipped.

One handed

“The biggest benefit I think is convenience,” says Patrick Mesterton, co-founder and CEO of Epicenter. “It basically replaces a lot of things you have, other communication devices, whether it be credit cards or keys.”

So that’s cool . . . but privacy?

Remember that? Most new technologies engender some security and privacy concerns, but this thing is literally inside of you.

The implant uses Near Field Communication technology, which is the same thing used in contactless credit cards and mobile payments.

If the chip is activated by a nearby reader, data flows between the devices via electromagnetic waves. These chips are technically “passive,” which means they can’t read info themselves, but can be read by other devices.

That seems safe, right?

Well, maybe. But remember, if you use this chip to unlock the door to your building, your office, and the restroom, and if you use this chip to buy lunch, coffee, and snacks, those reading devices around the workplace have a ton of data about you. What time do you get to work, and when do you leave? Do you take ‘too many’ bathroom breaks? Are you drinking an unhealthy amount of coffee? Are you eating unbalanced meals?

Unlike the data read from your credit card or phone, this data originates from something you can’t easily separate yourself from.

It’s always there, whether you want to use it or not. And to get rid of it, you have to have surgery, not just cut it up.

There’s a difference

Ben Libberton, a microbiologist at Stockholm’s Karolinska Institute says hackers could get a scary amount of information from embedded devices, and the ethics will only get more complicated as the chips get more sophisticated.

“The data that you could possibly get from a chip that is embedded in your body is a lot different from the data that you can get from a smartphone,” Libberton says.

“Conceptually you could get data about your health, you could get data about your whereabouts, how often you’re working, how long you’re working, if you’re taking toilet breaks and things like that.”

And once that data is collected, who gets to see it? What will it be used for?

It’s hard to imagine that the results will be overwhelmingly positive.

This is the next step on our quest for convenience, and if we collectively decide to take it, we will lose privacy.

It already exists

On the other hand, we seem to be basically okay with this. Our phones often know our location, so that data is out there for someone to find. Our credit cards know what we buy, and when and where we buy it.

As chips are normalized like cards and phones, maybe it’ll seem less weird to have our movements tracked by an electronic grain of rice we stuck in our hands. But for now – yeah, it’s weird.

#RiceChip

Staff Writer, Natalie Bradford earned her B.A. in English from Cornell University and spends a lot of time convincing herself not to bake MORE brownies. She enjoys cats, cocktails, and good films - preferably together. She is currently working on a collection of short stories.

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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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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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