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How meticulous are you about saving your spare change? This app can help

(TECH NEWS) We all know that keeping track of pennies and nickels can get annoying so Cents has been created to help you save you some time and effort.

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cents

Cents add up

Many people today are pretty careless with their change, often just sort of leaving it about until it somehow disappears. (My theory is that it goes to the same place that at least one sock always seems to go after being put into the dryer.)

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Those who keep some sort of a change bank, however, can likely attest to the value of saving your spare change. You might be surprised at how quickly it seems to add up.

Digital piggy bank

Life happens, as they say, and especially during those times when you’re scraping by on your last dollar, it’s always great to remember you’ve got an extra couple bucks stashed away. There’s a reason Coinstar machines are as prevalent as they are, after all.

For those that may be unaware, app developers and baking institutions have taken note of the value of spare change, in turn creating their own digital piggy banks. The most common shared feature among these apps and programs is the idea of “rounding up” debits.

Essentially, they round up debits to the nearest dollar amount, and place the change in a separate account.

Some, such as apps like Digit and Qapital, place the change into a savings account. Others, such as Acorn, invest the spare change in the stock market. Newest to the bunch is the aptly named app, Cents.

New app on the block

Much like the app Qoins, Cents rounds up the users’ purchases and places the change into an account that is then used to make payments toward the users’ pre-existing debt of choice.

Commenting on the similarities between the two apps, Lead Developer Robert Preston states that the “primary difference is in execution.

“From day one, we’ll support over 10,000 financial institutions that we can connect to and pull your data from including bank accounts, credit cards, student loans, auto loans and mortgages.” Further, he adds that they have “spent a lot of time perfecting the UX/UI of (our) onboarding process to make it smooth and quick to complete.” As such, he hopes that the vast number of institutions they are able to work with, as well as the ease of use and design of the app will give Cents the edge over its competitors.

One caveat

Full disclosure, I cannot vouch for any of that. I have tested neither Cents, nor Qoins. However, I can very much say that the idea has merit. Saving my spare change has saved my bum on several occasions.

And, like many, I am better acquainted with debt than I would like to be.

Pitting one’s spare change against the Hydra-esque monster that is debt may seem like an unfair fight. And, true, you will not pay off your school debts with the spare change saved from debit purchases alone. However, you may be surprised at the comparatively large chunk of debt that may begin to disappear overtime. Who knows- you may find that you are able to pay off that six-year loan in four years. And really, that’s still a completely valid win.

Battle of the apps

Again, I have tested neither of the apps, so I cannot honestly state which one I prefer. However, I can say that while Qoins is currently $1.99/month and Cents is $1/month.

So, if you’re really pinching pennies, there is that piece of information to help you decide.

#Cents

Andrew Clausen is a Staff Writer at The American Genius and when he's not deep diving into technology and business news for you, he is a poet, enjoys rock climbing, monster movies, and spending time with his notoriously naughty cat.

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2 Comments

2 Comments

  1. Robert Preston

    May 4, 2017 at 11:12 am

    Thanks for the article Andrew! We’ll drop you a line when you can test it out yourself.

  2. Pingback: Millennial women share about how they spend (and save) money - The American Genius

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Career consultants help job seekers beat AI robot interviews

(TECH NEWS) With the growth of artificial intelligence conducting the job screening, consultants in South Korea have come up with an innovative response.

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job screening by robot

When it comes to resume screenings, women and people of color are regularly passed over, even if they have the exact same resume as a man. In order to give everyone a fair try, we need a system that’s less biased. With the cool, calculating depictions of artificial intelligence in modern media, it’s tempting to say that AI could help us solve our resume screening woes. After all, nothing says unbiased like a machine…right?

Wrong.

I mean, if you need an example of what can go wrong with AI, look no further than Microsoft’s Tay, which went from making banal conversation to spouting racist and misogynistic nonsense in less than 24 hours. Not exactly the ideal.

Sure, Tay was learning from Twitter, which is a hotbed of cruelty and conflict, but the thing is, professional software isn’t always much better. Google’s software has been caught offering biased translations (assuming, for example, if you wrote “engineer” you were referring to a man) and Amazon has been called out for using job screening software that was biased against women.

And that’s just part of what could go wrong with AI scanning your resume. After all, even if gender and race are accounted for (which, again, all bets are off), you’d better bet there are other things – like specific phrases – that these machines are on the lookout for.

So, how do you stand out when it’s a machine, not a human, judging your work? Consultants in South Korea have a solution: teach people how to work around the bots. This includes anything from resume work to learning what facial expressions are ideal for filmed interviews.

It helps that many companies use the same software to do screening. Instead of trying to prepare to impress a wide variety of humans, if someone knew the right tricks for handling an AI system, they could potentially put in much less work. For example, maybe one human interviewer likes big smiles, while the other is put off by them. The AI system, on the other hand, won’t waver from company to company.

Granted, this solution isn’t foolproof either. Not every business uses the same program to scan applicants, for instance. Plus, this tech is still in its relative infancy – a program could easily be in flux as requirements are tweaked. Who knows, maybe someday we’ll actually have application software that can more accurately serve as a judge of applicant quality.

In the meantime, there’s always AI interview classes.

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Google chrome: The anti-cookie monster in 2022

(TECH NEWS) If you are tired of third party cookies trying to grab every bit of data about you, google has heard and responded with their new updates.

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3rd party cookies

Google has announced the end of third-party tracking cookies on its Chrome browser within the next two years in an effort to grant users better means of security and privacy. With third-party cookies having been relied upon by advertising and social media networks, this move will undoubtedly have ramifications on the digital ad sector.

Google’s announcement was made in a blog post by Chrome engineering director, Justin Schuh. This follows Google’s Privacy Sandbox launch back in August, an initiative meant to brainstorm ideas concerning behavioral advertising online without using third-party cookies.

Chrome is currently the most popular browser, comprising of 64% of the global browser market. Additionally, Google has staked out its role as the world’s largest online ad company with countless partners and intermediaries. This change and any others made by Google will affect this army of partnerships.

This comes in the wake of rising popularity for anti-tracking features on web browsers across the board. Safari and Firefox have both launched updates (Intelligent Tracking Prevention for Safari and the Enhanced Tracking Prevention for Firefox) with Microsoft having recently released the new Edge browser which automatically utilizes tracking prevention. These changes have rocked share prices for ad tech companies since last year.

The two-year grace period before Chrome goes cookie-less has given the ad and media industries time to absorb the shock and develop plans of action. The transition has soften the blow, demonstrating Google’s willingness to keep positive working relations with ad partnerships. Although users can look forward to better privacy protection and choice over how their data is used, Google has made it clear it’s trying to keep balance in the web ecosystems which will likely mean compromises for everyone involved.

Chrome’s SameSite cookie update will launch in February, requiring publishers and ad tech vendors to label third-party cookies that can be used elsewhere on the web.

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Computer vision helps AI create a recipe from just a photo

(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!

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Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.

Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?

Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”

According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”

The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.

Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.

These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.

This sounds neat and all, but why should you care if the computer is learning how to cook?

Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.

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