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Is Apple moving away from the home screen?

Apple’s home screen has been an integral part of the design since it’s inception, so why would they want to remove it? Here’s what we think.

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apple troubles

Why would Apple ditch the “Home” screen!?

If you’re an iPhone user, you’ve probably pressed the “Home” button more times than you can count. That magical little button that brings you back to the center of the iPhone world. It’s hard to imagine that Apple would ever want to do away with it, but it looks as though times are changing and the home screen could be gradually fading away.

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The home screen has been a critical part of the iPhone’s appeal since it’s creation. For people coming to iPhone from an ordinary cell phone, or from a Windows frame of mind, the home screen and home button made for an easy transition. When you needed to use another app, you simply pressed the home button and you could find what you needed, quickly. No problem.

Apple is making a calculated effort to stay on trend

Subsequent updates allowed you to find more than one app with the fast dock, still accessible through the home button. Soon after the fast dock tray, Apple introduced Spotlight, an ever faster way to search for what we needed. Next came the ability to access the camera by swiping up; no more swiping to unlock first, just instant, easy access to the camera. What do all these changes say?

Apple has made a calculated effort to stay on trend with the fast-paced world we live in. Mobile technology is constantly changing and evolving and user simple do not have the time to search for an app, a file, or their camera. We want what we want when we want it and Apple has taken steps to make sure we get it.

Proactive Assistant, a personalized hub, and more

The next version of iOS is sure to reflect this shift as well. One feature aimed at this is the Proactive Assistant. This Assistant will attempt to anticipate what you need and when you need by learning your habits and routine. For instance, every morning I check my email and social media accounts, iOS 9 will note my habits and pre-load these apps on the lock screen. You’ll also be greeted by music when you plug in your headphones. It’s all about personalization and productivity.

The new iOS will also offer a personalized search panel, or hub. It will sit by the home screen and show you shortcuts for contacts and apps. Basically, the grid format will disappear, instead it will “learn” what you need and who you talk to most often and bring it to you; you won’t have to search for anything. Siri will also receive enhanced capabilities.

A lot of margin for error

While all of these “smarter” capabilities are great, it also leaves a lot of margin for error, especially in the early stages. While I love voice commands when I’m trying to multitask, I also hate repeating myself or having Siri schedule an appointment on the wrong day/time. Hopefully, with the introduction of these feature will come some great new tech to make these features more “fool-proof.”

For now, however, the home screen will remain in its rightful position: right in the center of the iOS design. The new technology will certainly increase productivity, but for now I like my home screen just where it is.

#AppleHomeScreen

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.

Tech News

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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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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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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