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Uber is making flying cars so you can commute in a private jet

(TECH NEWS) No word yet on whether or not Uber Elevate will provide peanuts, but the future is here, dear readers!

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No longer top secret

The race is on to put a car in the sky. And Uber is crouched at the starting line and plans on going the distance (and for speed).

Last year, we found out Google founder Larry Page had funneled millions from his own fortune into the construction of small electric aircrafts. The top-secret projects were inspired by NASA engineer Mark Moore’s 2010 research, and are being executed by two Silicon Valley startups, Zee.Aero and Kitty Hawk. Then Airbus announced plans to release self-driving taxis within the next year.

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Batting for Uber’s team

But you can’t make history without stirring up a little drama: the very Mark Moore that inspired Page has now joined one of Google’s major rivals, Uber Technologies, Inc, as director of engineering for aviation, for perhaps the most promising and powerful of all airborne auto projects.

“I can’t think of another company in a stronger position to be the leader for this new ecosystem and make the urban electric VTOL market real,” Moore stated while somewhere in Silicon Valley, Page narrowed his eyes in quiet rage.

Uber has an ambitious, groundbreaking vision for this emerging industry and the future of airborne commutes, and expects to achieve it in the next 1 to 3 years — compared to Page’s estimated timeline of 5-10 years. The company wants an organized, strategic approach that will allow for further developments. Their head of product for advanced programs, Nikhil Goel, referred to the company as “an accelerant-catalyst” of the flying car ecosystem.

Uber Elevate

The rideshare company’s flying car initiative is called Uber Elevate, and has not officially begun yet.

As whimsically delightful as the concept of flying cars sounds, the reality involves numerous technical and political challenges.Click To Tweet

For example, vehicle efficiency, noise pollution, vehicle efficiency, limited battery life, negotiating with suppliers to lower prices, lobbying regulators about aircraft certifications and air-traffic restrictions — to name a few.

Uber wants to go about this carefully, anticipating all possible obstacles and developing solutions to overcome each one.

With its 55 million active riders, and without the bureaucratic limitations of NASA, Uber has the potential influence to prove their project could lead to a huge, highly profitable and safe market. This pragmatically planned vision differentiates Uber Elevate as a promising endeavor rather than just another “wild tech game”, Moore explains.

Now, all logistics aside, let’s take a moment to revel in the surreal world Uber intends to create: an ordinary Uber picks you up, drives you to the closest “vertiport”, then soars into the sky and all the way to your office. How’s that for a daily commute? The flying cars would only have to travel between 50-100 miles, and would likely be able to partially recharge between flights. Passengers would not be alone in the clouds; human pilots would operate the onboard computers.

No word yet on whether or not they’ll provide peanuts.Click To Tweet

Extreme ambitions

When it comes to innovation, Uber isn’t only looking to the sky — their recent partnership with Mercedes-Benz will make it possible to hail a self-driving car through the ridesharing platform. With Lyft and Ford working towards the same goal, the pressure is on, so autonomous Ubers could be rolling up to the curb very soon.

Whether it’s taking flight or being steered by robots first, one thing’s for sure: calling an Uber is about to be quite the adventure.

#FlyingCars

Helen Irias is a Staff Writer at The American Genius with a degree in English Literature from University of California, Santa Barbara. She works in marketing in Silicon Valley and hopes to one day publish a comically self-deprecating memoir that people bring up at dinner parties to make themselves sound interesting.

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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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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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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