Connect with us

Tech News

Apple’s semi-believable excuse for iPhone sales being down

(TECH NEWS) Apple reveals that their earnings are down this quarter for a second year in a row and then a less-than-credible excuse for why it is happening.

Published

on

smishing apple iphone manson influencer

History repeating

Around this time one year ago, Apple announced for the first time that it had a drop in iPhone sales. This year again, the tech giant’s quarterly earnings report a similar scenario. Though it is a comparatively minor dip in sales- down 1.2 million from the same quarter last year- it does seem plausible that the iPhone’s popularity may be beginning to decline.

bar
Recently, a 451 Research survey showed that “purchase intent”– the likelihood that a consumer will purchase a product– is at a nine-year low. When asked about it during the quarterly earnings conference call, Apple CEO Tim Cook said he had only “glanced” at the survey. However, he went on to explain that the company is currently in the midst of a “pause in the purchases on iPhone(s).” This, Cook believes, is “due to earlier and much more frequent reports about future iPhones.”

Three part problem

Cook does have a point in that since the iPhone 7’s release, the rumor mill has been working overtime regarding the next iterations of the insanely popular smartphone. It is kind of funny, though, because each prior iPhone suffered at least a similar amount of rumor-mongering. It couldn’t be that the iPhone 7 simply wasn’t as exciting a product as all the previous iPhone models proved to be, could it?

Admittedly, the iPhone 7 has a number of factors working against it.

The most important, of course, being the S-models implemented since the iPhone 4. iPhones are expensive, and if a new, and greatly improved version of the phone is going to come out one year later as it has with the last three generations, why fork out the 600-plus dollars to get an obviously dumbed down version of the product? Though there are those that always need to purchase the latest and greatest, the majority of consumers buy a new smartphone when they need one. If the prior model still works well enough, it’s in the buyer’s best interest to wait another year to purchase the better phone.

Second, of course, is the fact that this year marks the ten year anniversary of the original iPhone. Many are anticipating that Apple will release a special phone to commemorate this milestone, which makes anything the iPhone 7 could have done, aside from a major design overhaul, seem kind of “meh.” These are likely the “frequent reports” and rumors that Cook was referring to.

Lastly, it’s imperative to mention the increasing number of consumers that are beginning to flock to the Android market. Though Apple is still the dominant smartphone manufacturer, companies such as Samsung and HTC are beginning to increase in popularity. Aside from the leaps and bounds the Android platform has made, a large part of this is due to the simple fact that many Android phones are much less expensive than their iOS counterparts.

Time will tell

Though Apple has its detractors, they still have a strong hold on the smartphone market. However, if they wish to remain there, it may be time for them to shake up their products a bit.

Rumors abound regarding the next iPhone. Hopefully all the hype will be worth the wait.

#iPhone

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.

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.

Published

on

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.

Continue Reading

Tech News

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.

Published

on

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.

Continue Reading

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!

Published

on

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.

Continue Reading
Advertisement

Our Great Partners

The
American Genius
news neatly in your inbox

Subscribe to our mailing list for news sent straight to your email inbox.

Emerging Stories

Get The American Genius
neatly in your inbox

Subscribe to get business and tech updates, breaking stories, and more!