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Why Google Keep is worth a second look

Google Keep is still around and if you haven’t tried it yet, here are several ways you can make it a useful, productive part of your day.

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Google Keep – did you forget it exists? We did…

Google Keep is still around and some people really love it. Haven’t tried it yet? You may be missing out; well, you’re missing out if you’re already a Google user. If you’re already into Gmail, Google Drive, and perhaps even G+, you may very well love Keep… if not, it’s still useful, it’s just not as useful.

This is largely because Keep is at its most useful when you can save notes to other Google areas.

Google Keep is basically an organizational and note-taking platform.

It’s a bit like Evernote, but more minimalistic and let’s face it: sometimes minimalistic is better. Further, since its launch, it has continued adding features, but quietly, and mostly under the radar.

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If you haven’t tried it, here are a few nifty things it can do for you. I’ll start with my favorite: the personal transcriber. With Keep, you can speak a quick memo, story idea, business meeting, plan change, or anything else, and Keep will transcribe your voice to text and save it for you. These transcriptions then become searchable and editable.

Other cool Google Keep features

If you love sticky notes as much as I do, you’ll love this Keep feature: create a pop-up reminder in Keep and it will show up in your browser (if Keep is open), on your phone, and in Google Now. Super nice for remembering last minute meetings and birthdays. If you create notes you can search for them from the top according to color, whether or not they have a reminder, and more. You can send these notes right to Google Docs if needed as well.

Just like you can transcribe voice to text, you can transcribe text from photographs. Simply upload an image, click the three dots in the menu underneath, and a pop-up will appear. From here, choose “grab text” and Keep will transcribe the words. Results can vary a bit, but if you have an image that you cannot read, or is in a different language, it is a good starting place. Currently, Keep doesn’t have handwriting recognition like Google’s other apps, but this may come in a future update.

For now, Keep is a good alternative to involved organizational apps like Evernote. Keep allows you to take your reminders with you easily on all your devices. If you haven’t tried it yet, it may be worth a look, especially if you’re a prolific Google (Gmail, Drive, G+) user.

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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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1 Comment

1 Comment

  1. Rick

    June 25, 2015 at 10:46 pm

    Thanks for the article I had a feeling this app would find a way back into my life.

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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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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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Tech News

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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computer vision recreates recipe

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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