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Daily Coding Problem keeps you sharp for coding interviews

(CAREER) Coding interviews can be pretty intimidating, no matter your skill level, so stay sharp with daily practice leading up to your big day.

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Whether you’re in the market for a new coding job or just want to stay sharp in the one you have, it’s always important to do a skills check-up on the proficiencies you need for your job. Enter Daily Coding Problem, a mailing list service that sends you one coding problem per day (hence the name) to keep your analytical skills in top form.

One of the founders of the service, Lawrence Wu, stated that the email list service started “as a simple mailing list between me and my friends while we were prepping for coding interviews [because] just doing a couple problems every day was the best way to practice.”

Now the service offers this help for others who are practicing for interviews or for individuals needing to just stay fresh in what they do. The problems are written by individuals who are not just experts, but also who aced their interviews with giants like Amazon, Google, and Microsoft.

So how much would a service like this cost you? Free, but with further tiers of features for additional money. Like with all tech startups, the first level offers the basic features such as a single problem every day with some tricks and hints, as well as a public blog with additional support for interviewees. However, if you want the actual answer to the problem, and not just the announcement that you incorrectly answered it, you’ll need to pony up $15 per month.

The $15 level also comes with some neat features such as mock interview opportunities, no ads, and a 30 day money back guarantee. For those who may be on the job market longer, or who just want the practice for their current job, the $250 level offers unlimited mock interviews, as well as personal guidance by the founders of the company themselves.

Daily Coding Problem enters a field with some big players with a firm grasp on the market. Other services, like InterviewCake, LeetCode, and InterviewBit, offer similar opportunities to practice mock interview questions. InterviewCake offers the ability to sort questions by the company who typically asks them for that individual with their sights targeted on a specific company. InterviewBit offers referrals and mentorship opportunities, while LeetCode allows users to submit their own questions to the question pool.

If you’ve really got your eye on the prize of receiving that coveted job opportunity, Daily Coding Problem is a great way to add another tool in your tool box to ace that interview.

Alexandra Bohannon has a Master of Public Administration degree from University of Oklahoma with a concentration in public policy. She is currently based in Oklahoma City, working as a freelance filmmaker, writer, and podcaster. Alexandra loves playing Dungeons and Dragons and is a diehard Trekkie.

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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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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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Xiaomi accidentally sent security video from one home to another

(TECH NEWS) Xiaomi finds out that while modern smart and security devices have helped us all, but there are still plenty of flaws and openings for security breeches.

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Xiaomi home device

The reason for setting up security cameras around your home is so the photos can get streamed to your neighbor’s device, right?

Okay, that’s obviously not why most (if any) of us get security cameras, but unfortunately, that scenario of the leaked images isn’t a hypothetical. Xiaomi cameras have been streaming photos to the wrong Google Home devices. This was first reported on Reddit, with user Dio-V posting a video of it happening on their device.

Xiaomi is a Chinese electronics company that has only recently started to gain traction in the U.S. markets. While their smartphones still remain abroad, two of Xiaomi’s security cameras are sold through mainstream companies like Wal-Mart and Amazon for as low as $40. Their affordable prices have made the products even more popular and Xiaomi’s presence has grown, both nationally and abroad.

To be fair, when the leaked photos surfaced, both Google and Xiaomi responded quickly. Google cut off access to Xiaomi devices until the problem was resolved to ensure it wouldn’t happen again. Meanwhile, Xiaomi worked to identify and fix the issue, which was caused by a cache update, and has since been fixed.

But the incident still raises questions about smart security devices in the first place.

Any smart device is going to be inherently vulnerable due to the internet connection. Whether it’s hackers, governments, or the tech companies themselves, there are plenty of people who can fairly easily gain access to the very things that are supposed to keep your home secure.

Of course, unlike these risks, which involve people actively trying to access your data, this most recent incident with Xiaomi and Google shows that your intimate details might even be shared to strangers who aren’t even trying to break into your system. Unfortunately, bugs are inevitable when it comes to keeping technology up to date, so it’s fairly likely something like this could happen again in the future.

That’s right, your child’s room might be streamed to a total stranger by complete accident.

Granted, Xiaomi’s integration mistake only affected a fraction of their users and many risks are likely to decrease as time goes on. Still, as it stands now, your smart security devices might provide a facade of safety, but there are plenty of risks involved.

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