Trending February 2024 # Facebook Updates Account Quality In The Midst Of Its Own Failures # Suggested March 2024 # Top 7 Popular

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It’s been a busy week for the Facebook Ads platform.

The delayed date (originally intended for September) of the Apple iOS14 roll-out hit, causing all kind of trouble for media buyers.

In the midst of it, Facebook updated its Account Quality dashboard, which is tucked inside Business Manager. While the feature itself is not new, it appears Facebook is enhancing to integrate Page-side information along with an upgraded user interface.

Account Quality Sections

The dashboard contains four sections:

Account Issues

Account Status Overview

Facebook Account

Business Accounts

Account Issues Section

This section gives a birds’ eye view to the accounts and assets that may have issues to address. Indicators at the top will note the number of outstanding vs. resolved issues:

Facebook’s Support for Issues

The changes began rolling out on Tuesday of this week, wreaking havoc on reporting dashboards.

Campaign-level insight into conversions and purchases seemed to vaporize overnight, and calculations were wrong or simply no longer there.

Twitter and Slack channels were flooded with frustrated media managers, who were suddenly flying blind on how to manage client’s spend.

Helpful tip:

If you are experiencing these issues, one way to fix them is to manually assign the attribution window at the Campaign level For example, here is one that used multiple attribution windows. There is no Purchase data, and notes there are multiple attributions:

Go to Columns, and choose “Compare Attribution.” Once you choose attribution length, your Campaign level data will populate for your selections:

The Path Forward

Updates like the Account Issues section would normally be a welcome step towards efficiency for higher-volume managers.

But, the timing made it mean very little. Many media managers would gladly forego those types of updates for consistent support, expectation management, and answers from their Facebook reps.

Sources say a fix for this attribution view problem is on the way, but it’s left many wondering whether the left hand is talking to the right. The optics of updating a UI to clarify account issues and disapprovals is in stark contrast to the fact Facebook Ad’s biggest issue often appears to be itself.

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Fix Windows Keyboard Language Changes On Its Own In Windows 11/10

In the case of multiple keyboard scenarios, things get tricky. Keyboard language changes on its own because the keyboard changes while you are typing. The fact is that the keyboard changes because we accidentally hit shortcuts like WinKey+Space key (Changes language/keyboard pairs), or Alt+Shift Change language) or lastly Ctrl+Shift (Changes keyboard).  So, if your Windows 11/10 keyboard language changes on its own, there are three ways to resolve it. The first is to make sure Windows doesn’t add keyboards without your permission, and the second is what we are going to talk about next.

Fix Windows 11 keyboard language changes on its own

The primary solution to resolving the issue Windows 11 keyboard language changes on its own is the same for Windows 11 as for Windows 10, but the procedure is vastly different.

For the solution, you would have to set a different input method for each app window. The procedure to do so in Windows 11 is as follows:

In the Settings window, go to the Time and languages tab on the list on the left-hand side.

Now, under Switching input methods, check the box associated with Let me set a different input method for each app window.

Reboot your system.

How will this option help?

After checking the mentioned option, you would be prompted for the input method individually for each app, unlike earlier when the app could decide. This way, you wouldn’t be bothered with the automatic changing of the input language.

Why were the Language settings changed in Windows 11?

You must have noticed that Advanced keyboard settings fall under a separate setting menu named Typing. Obviously, it seems more appropriate and this is exactly why Windows 11 was created. The purpose was to change the Settings to a more accessible and appropriate structure. Rather, you won’t find most options at the same place with Windows 11.

Windows 10 keyboard language changes on its own Set a different input method for each app window

To disable the change in layout follows the steps below:

Type “Switching input methods”. This will open Advanced keyboard settings with this option inside.

Select the checkbox which says “Let me set a different input method for each app window”.

This will make sure that you choose which keyboard is going to be used for which app. Usually, when you change the keyboard when using an app, Windows remembers that so you don’t have to set it up again.

Apart from this, the Advanced keyboard settings page lets you override the default input method which could be different from the first one in your language list.  Lastly, there is a Langage bar option as well which comes in handy to switch between the keyboard rather quickly. In case you have removed it, you can always restore the language bar back.

Change Language Settings under the Administrative Tab

The last one was reported by a forum user with a solution. He reported that the problem occurred for him when he started typing in some programs with non-Unicode characters. Windows will use the default system local language to interpret these characters even if the language is not available in the language bar.

Make sure that all Display language, Input language, and Format are English (United States) or whatever you want to have. If not go back and make those changes.

Mark two checkbox in Copy your current settings to Welcome screen and system accounts & New user accounts

Last but not least, you may want to disable those shortcut combinations which can accidentally change your keyboard settings.

Having multiple keyboards on your Windows PC is tricky. But then many need to use them on a regular basis, and this change of keyboard is very annoying.

I hope these solutions worked for you!

Read: How to change Keyboard Layout in Windows.

Why Google Needs To Keep Making Its Own Chromebooks

According to The Verge, Google has cancelled its next Pixelbook device, previously slated for release in 2023. But the tech giant has supposedly gone a step further, shutting down the entire team that was working on it. Rather than just one device being abandoned, this suggests we’ll never see another Google-branded Chromebook again.  

If true, it represents a significant U-turn for Google. At its I/O developer conference in May, hardware chief Rick Osterloh indicated that new Pixelbooks were very much in the company’s plans. Google has been hinting at streamlining its hardware division for a while now, but this still comes as a big surprise. 

On the face of it, it’s easy to understand why Google might have come to this decision. Despite creating Chrome OS back in 2011, the company has never really been one of the major players in the Chromebook market. Many people turn to devices from the likes of Acer, Asus, Lenovo and HP, most of which are well received. 

Google has also taken a cautious approach to Pixelbook hardware, with just two devices in total and none since the Pixelbook Go three years ago. A follow-up to 2023’s original would’ve been great, but it’s by no means necessary for the future of Chromebooks. Devices running Chrome OS became more popular than ever after the pandemic began, with Pixelbooks thought to account for a tiny percentage of total sales. 

Despite all this, I firmly believe it would be a mistake for Google to stop making its own Chromebooks. Here are four key reasons why. 

Pixelbooks are among the best Chromebooks you can buy

It might seem obvious, but both Pixelbooks that Google has released are impressive devices. The $999/£999 regular model was an anomaly when it launched five years ago, given the strong link between Chrome OS and budget hardware. 

But Google’s choice of premium materials and a thin and light design helped it stand out from the competition, especially when combined with a 360° hinge. A rather basic software experience compared to Windows 10 was the main thing holding it back, but Chrome OS has improved significantly since. 

Then there was the Pixelbook Go, which remains one of the best Chromebooks you can buy three years after its release. With an excellent display, solid performance and great battery life, it still ticks all the boxes for many people in 2023.

The Pixelbook Go is a great all-rounder

Hannah Cowton / Foundry

Given that track record, it’d feel like a missed opportunity if Google gives up on Chromebooks now.  

Premium Chromebooks are still in short supply

Chrome OS is far from exclusive to budget devices these days, but high-end Chromebooks remain rare. Google is one of only a handful of companies to release more expensive machines – it speaks volumes that none are included in our best laptop chart at the time of writing. 

The original Pixelbook is undoubtedly a premium device

Dominik Tomaszewski / Foundry

Google is also a big enough company that it can take risks with Chromebooks without worrying too much about its bottom line. It feels like only a matter of time before we get a foldable Chromebook – why can’t Google be the firm that makes it happen? 

They’re a significant part of the Google ecosystem 

All major tech brands are keenly aware of the value of an ecosystem of products and services that are all designed to work together. It’s something that’s been effective for Apple, making it very difficult to jump ship to a different product or operating system. 

For Google, the situation is much more complex. Lots of different companies make phones that run its Android software, while Windows remains the dominant operating system on laptops and desktop PCs. 

Google has probably accepted that Chrome OS won’t ever be more popular than Windows, but that’s not a reason to stop making Chromebooks. A Pixel phone already works seamlessly with the Pixelbook – why wouldn’t Google want to make the experience even better?

Chrome OS can run Android apps from the Google Play Store, something Microsoft doesn’t support on Windows

Dominik Tomaszewski / Foundry

The company already does this to an extent with its Pixel Buds, with some exclusive functionality reserved for people who own a Pixel handset. The company is also set to return to tablets in 2023, and there’ll presumably be some features that make it more compelling if you already own Google hardware. 

Regardless of their popularity, abandoning an entire product category makes it that bit easier for people to ditch Google hardware completely.  

The Pixelbook is already an established brand 

Google has only ever released four Chromebooks, and just two that were branded as Pixelbooks. But the coverage and attention that all have received speaks volumes. Google is one of the biggest tech companies on the planet, and it can almost guarantee that any new product will get people talking.  

The company will always be known as the creator of Chrome OS, and there’s no sign of it stopping development of the operating system anytime soon. Being in control of both the hardware and software puts Google in an enviable position, allowing it to tailor Chrome OS for each and every Pixelbook device. That’s not something it should give up lightly. 

If Google decides to stop making its own Chromebooks, it’s unlikely to have a significant effect on the company’s revenue or reputation. But I believe it would be a big missed opportunity for Google to fully embrace Chrome OS hardware and help take it to the next level.

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How To Create An Anonymous Facebook Account

While nothing on the internet is truly private, having a public Facebook account comes with extra privacy risks. Every picture you add to your Facebook page, every friend request and event invitation you accept – all of it is monitored by the company. 

If you’re done worrying about what that information could potentially be used for, there are a few ways out aside from deleting your Facebook account for good. You could either deactivate your Facebook and switch to Messenger to keep in touch with your friends, or – if you’re not ready to stop using the Facebook app – create a new anonymous Facebook account. 

Table of Contents

Why Create an Anonymous Facebook Account

Staying anonymous on Facebook protects your privacy in more than one way. Should Facebook ever be compromised, you’ll be in the clear if you used a fake name and information when registering your account. That means you don’t have to worry about your personal data falling into the wrong hands.

Another reason to go anonymous is to avoid unwanted attention from your work colleagues or people from school. With an anonymous account, you don’t have to add acquaintances and people you barely know out of politeness and allow them to snoop on your private life on Facebook. At the same time, your friends and people that you actually want to have on your friends list will still know who you really are, so you won’t be totally disconnected from the digital world. 

Finally, you might want to create an anonymous Facebook account for professional reasons. For example, if you’re running a Facebook page for a business and want to be an admin, you’ll have to tie it to your Facebook account. 

How to Make an Anonymous Account on Facebook

When creating an anonymous Facebook account, remember to keep it simple. That’s the best strategy for when you want to blend in. Follow the steps below to set up your anonymous Facebook page.

1. Create a Burner Email or Phone Number

You’ll need an email address or a phone number to create a new Facebook account. If you use your personal email address, especially one you used to sign up for other websites, it can be tied to your data. The best course of action is to use a temporary burner email or phone instead.

To create a burner phone number, you can use a service like Google Voice or Burner app. Alternatively, make a new email account without adding any personal details. 

2. Create a Facebook Account

Now that you have a burner phone number or email address, you can use it to sign up for Facebook. 

Go to chúng tôi and select Create New Account. Use a fake first and last name, fill in your email or phone number, add a fake birthday and gender. Make sure not to use any of your real details to avoid accidentally revealing your identity. Select Sign Up to confirm. You’ll then receive a confirmation email or a text message from Facebook.

Facebook will also ask permission to access your contacts. Select No to deny access, otherwise your profile will appear in the People You May Know section of other Facebook users. 

3. Start Adding Friends

Now that your new Facebook account is confirmed, you can add a profile picture or an avatar and start adding friends. Make sure you only add people who you know personally and who are trustworthy. You don’t want your contacts to share the link to your new Facebook page with other users.

How to Keep Your Privacy on Facebook

Once you start using your private Facebook account, you’ll need to be mindful of your actions on Facebook to keep your presence on the platform anonymous. Aside from simple things like not adding a photo with your face as your profile picture, there are other mistakes that you can make that will jeopardise your anonymity on Facebook. Here are a few tips that will help you stay truly anonymous. 

Check Your Privacy Settings

One of the first things to do after you create your anonymous account is to do a privacy checkup on Facebook and adjust your privacy settings so that you’re not discovered by other users. 

In the privacy settings section, you can review who can see your Facebook posts and your friends list, as well as who can contact you on the platform. This will help you keep your activity on Facebook as private as possible. 

Never Use Your Real Name on Your New Facebook Page 

One of the first things Facebook will ask you to do is to fill in your first and last name. However, after you create the account, you can also customize it by editing your id handle (or username) and changing it from random characters to your name or nickname. It’s best to avoid using anything that can be linked back to your real identity. 

Keep Your Personal Details Off Your Bio

When you create a new account, Facebook will constantly prompt you to fill in your About section. Even if you don’t think the information you’re sharing is relevant, it’s best to keep any (real) personal details off your Facebook page to keep it anonymous. 

Don’t Interact With Other Users Publicly

To keep your private Facebook account truly private, avoid any public activity or interaction with other people and use direct messages instead. 

Stay Anonymous While on Facebook

Having an anonymous Facebook account is a great solution for anyone who’s concerned about their online privacy but also isn’t ready to quit social media. Instead of deleting your Facebook account, you get to keep it and preserve your digital social life. All without endangering your personal data. 

What Is Electrodeposition? (Factors Affecting The Quality Of Electrodeposition)

What is Electrodeposition?

An electrolytic process by which one metal is deposited over other metal or non-metal is known as electrodeposition.

Electrodeposition is widely used for decorative, protective and functional purposes. The process of electrodeposition includes −

Electroplating − It is the process of deposition of metal over any metallic or non-metallic surfaces for protecting the metals from corrosion.

Electro metallization − It is a process by which a metal can be deposited on a conducting base for decorative or protective purposes.

Electro typing − It is a process used to reproduce printing, set up typing and medals, etc.

Electro forming − It is a process used for reproduction of objects by electrodeposition in order to increase their durability.

Electro facing − It is a process of coating of metallic surfaces with a harder metal by electrodeposition in order to increase their durability.

Factors Affecting the Quality of Electrodeposition

The factors on which the quality of electrodeposition depends are described below.

Nature of Electrolyte

The nature of electrolyte used in the electrodeposition process greatly affects the formation of smooth deposit. A smooth deposit can be provided by employing the electrolyte from which complex ions can be obtained.

Current Density

The process of electrodeposition depends upon the rate at which crystals grow and the rate at which fresh nuclei are formed. Therefore, the deposit of metal will be uniform and fine grained if the current density is used at the rate higher than at which the nuclei are formed.

The deposition will be strong and porous if the rate of nuclei formation is very high due to very high current density.

Conductivity

The electrolytic solution of good conductivity provides economy in power consumption and also reduces the tendency to form tress and rough deposits.

Temperature of Solution

The low temperature of the electrolytic solution results in the formation of small crystal of metal while the high temperature causes the formation of large crystals.

In addition, the high temperature gives the following beneficial results −

Increased conductivity,

Increased solubility of slats,

Decreased occlusion of hydrogen in the deposit metal, etc.

Electrolytic Concentration

The increased concentration of electrolyte results in higher current density. Thus, by increasing the electrolytic concentration, a uniform and fine-grain deposit can be obtained.

Polarization

As we know, the rate of metal deposition increases with the increase in current density up to a certain limit after which electrolyte surrounding the base metal becomes so much depleted of metal ions that the further increase in the current density does not cause increase in rate of deposition. The use of current density beyond this limit results in the electrolysis of water and liberation of hydrogen on the cathode. This liberated hydrogen on the cathode blankets the base metal that reduces the rate of metal deposition. This phenomenon is known as polarization.

The polarization can be reduced by reversing the current at regular intervals.

Addition of Agents

The addition of acids or other substances to the electrolyte decreases the resistance of the electrolytic solution. Also, some additional agents like gums, dextrose, etc. influence the nature of the deposit. The nuclei of the crystal absorb the additional agents added in the electrolyte. This prevents its large growth and hence the deposition will be fine grained.

Throwing Power

Throwing power is the ability of the electrolyte to produce uniform deposit on an article of irregular shape. As the distance between the various potions of the cathode and anode will be different because of irregular shape of the cathode. Therefore, it is necessary that the electrolyte should have relatively better throwing power so that uniform deposit can be produced.

The throwing power of an electrolyte can be increased in two ways as −

By increasing the distance between the anode and cathode.

By reducing the voltage drop at the cathode surface.

Top 5 Failures Of Ai Till Date

This article was published as a part of the Data Science Blogathon.

Introduction

How many times have you failed in your life? What a question this is, isn’t it? Unless you are overly genius or optimistic, you will probably answer that 100, 1000, or uncountable times.

And perhaps every time you failed and had to bear the consequences of failure, you thought – “What if I could work like a computer!”

No doubt, the power of computing gives us the ability to automate tasks and reduce failures. The addition of AI enables decisions to be made based on the based-on data. But what if, despite all the hype, AI systems fail to provide anticipated results?

The decision and predictions made by AI systems rely on concepts such as probabilistic methods and statistical analysis. AI considers the uncertainty and variability inherent in real-world data and makes predictions based on the most likely outcomes. To test the algorithms, techniques such as cross-validation and model selection are used to evaluate the system’s performance and identify any weaknesses or biases.

However, there are times when accurately trained AI systems have failed and produced wrong or misleading results. At the fundamental level, our AI models show poor performance metrics. But this article covers 5 interesting examples when well-trained AI models behaved opposite to what we expected.

Case 1: When Microsoft’s Tay Turned Hateful!

Source – The Verge

The incident with Tay highlighted the importance of designing AI systems that can handle and filter out inappropriate or harmful content, as well as the potential dangers of using AI systems that can learn from their interactions with humans.

To prevent this behavior, it would have been necessary to implement stronger filters and moderation systems to prevent the chatbot from learning and repeating inappropriate or offensive content. Ir would have been design ral norms and social expectations, to help it better understand the appropriateness of the content. This could have involved using ML algorithms to identify behavior patterns typical of internet trolls and implementing countermeasures such iting or content blocking to prevent them from overwhelming the system.

In December 2024, Microsoft released Tay’s successor, a chatterbot named Zo. Satya Nadella, the CEO of Microsoft, said –

“Tay has had a great influence on how Microsoft is approaching AI and has taught the company the importance of taking accountability.”

Case 2: When Google Turned a Little Racist!

Source – Boing Boing

The case – In 2023, it was reported that Google’s object recognition software, which is based on machine learning algorithms, was found to have higher error rates when identifying images of people with darker skin tones compared to those with lighter skin tones. This finding was part of a larger study that examined the performance of several image recognition systems and found that they tended to perform worse on images of people with darker skin tones.

What went wrong? The reason for this failure has been that the training data used to develop the image recognition system was biased, meaning that it did not accurately represent the diversity of the population and may have had a disproportionate number of images of people with lighter skin tones. Another possibility is that the system itself may be biased, meaning that it has been designed or trained in a way that favors certain groups over others. This could be due to a variety of factors, including the algorithms used to develop the system, the way in which the system processes and interprets data, and the way in which the system is evaluated and tested.

Overall, it is important to ensure that AI systems are developed and tested in a way that considers the diversity of the population and minimizes potential biases.

Case 3: Does Amazon AI not Like to Hire Women?

The case – Amazon’s AI-powered hiring tool was an automated system designed to evaluate job candidates based on their resumes and recommend the most qualified candidates for a given position. The tool used machine learning algorithms to analyze resumes and to score candidates based on various factors, such as their education, work experience, and skills. However, it was found that the tool was biased against women in several ways.

One way in which the tool was biased was that it downgraded resumes that contained the word “women’s,” such as “women’s studies” or “women’s rights.” This suggests that the tool may have been programmed to view references to women’s issues as negative or less desirable and to score candidates with such references lower than others.

B The tool was also found to penalize resumes that included a higher education degree in women’s studies. This suggests that the tool may have been programmed to view education in women’s studies as less valuable or relevant than other types of education, and to score candidates with such degrees lower than others.

Case 4: Can’t we rely on AI-powered COVID-19 help?

Source- CB Insights Research

The case – In 2023, the UK government developed an AI-powered virtual assistant called “Coronavirus Information Bot” or “CIBot” to answer questions about COVID-19. The bot was designed to provide information and guidance to the public about the virus and was made available through the government’s website and social media channels.

However, it was later discovered that the bot was providing misinformation and incorrect guidance on a number of topics related to COVID-19. For example, the bot was found to be recommending the use of certain unproven treatments for the virus, such as inhaling steam, and was also found to be providing inaccurate information about the transmission and severity of the virus.

What went wrong? There are a few potential reasons why the bot may have provided misinformation and incorrect guidance. The bot was based on outdated or incomplete information about COVID-19, which could have led to the bot providing incorrect guidance. Another possibility is that the bot was not programmed to accurately filter or verify the information it provided, which could have resulted in the bot providing misleading or incorrect guidance.

Case 5: When Google’s Self-driving Car Led to An Accident!

The case – On February 14, 2024 (when some people happily celebrated Valentine’s Day 😊), a self-driving car operated by Google was involved in a collision with a public bus in Mountain View, California. There were two occupants in the self-driving car at the time of the collision, both of whom were Google employees. One of the occupants sustained minor injuries as a result of the collision and was treated at a local hospital. There were no injuries to the bus driver or any passengers on the bus.

What went wrong? According to Google, the self-driving car that was a Lexus RX450h SUV was traveling at a speed of around 2 mph when the collision occurred. The car’s sensors had detected the bus approaching the adjacent lane, but its software incorrectly determined that the bus would yield to the car as it changed lanes. As a result, the car moved into the path of the bus, and the collision occurred. A news highlight given here shows more details.

How Can We Have More Reliable AI?

The present-day AI is certainly reliable, isn’t it? And countless examples stand in support of this. However, when it comes to building a large and public implementation of models that heavily affect the citizens, AI scientists and engineers need to be more careful.

It starts by clearly defining the goals and objectives of the AI model – what it is intended to do and how it is used.

Training data should be diverse and representative of the population that the AI model will be used on. This will help to reduce bias in the model and improve its performance on a wider range of inputs.

Regularly monitoring and testing the AI model using several evaluation metrics is most important. This could include testing the model on different data types, using different evaluation metrics, and comparing the model’s performance to other models.

The present era is about transparent, accountable, and explainable AI. This could include documenting the model’s development process, making the model’s code and data available for review, and providing explanations for the model’s predictions.

Even if you fail in life, you should keep trying. Regularly updating and maintaining the AI model can help to ensure that it continues to perform well and remains unbiased over time. This could include retraining the model on new data, fine-tuning the model’s parameters, and addressing any identified issues or errors.

Conclusion

AI makes p cle. Here’s what we got to know –

Microsoft’s chatbot Tay started producing inappropriate remarks after being deliberately fed with hatred and biases. Implementing filters for systems that work on user inputs is hence critical.

Automatic AI review systems by Google & Amazon showed bias towards particular gender and skin color, probably due to some biases in data.

Chatbots that are popular can often provide misinformation, as seen with a bot run by the UK. Govt.

During a trial run, Google’s self-driving model couldn’t predict the onset of a bus, thus leading to a collision.

(Disclaimer: The images put in this article are solely for informative and educational purposes, along with the sources mentioned. No copyright infringement is intended whatsoever.)

The media shown in this article is not owned by Analytics Vidhya and is used at the Author’s discretion.

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