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Artificial Intelligence versus Machine Learning | What’s the Difference?

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artificial intelligence versus machine learning

Artificial Intelligence versus machine learning is not a big mystrey to solve. In the technology sector, there are two terms that are often used interchangeably: Artificial Intelligence (AI) and Machine Learning (ML). Despite their close association, these terms refer to different concepts and have distinct applications in various fields. Although the two fields are related, they have distinct differences. In this article, we will explain what machine learning and AI are, and we will compare the Artificial Intelligence versus machine learning in ten solid points.

Artificial Intelligence vs Machine Learning – Explained

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have garnered considerable interest and have been hot topics in the technology industry in recent times. While both fields are related, they are also distinct from one another. Both AI and ML are transforming the way we live and work by enabling machines to perform complex tasks and make decisions without human intervention.

Artificial Intelligence (AI)

AI is the broader field of creating machines that can perform tasks that typically require human intelligence. It is the science of developing intelligent machines that can think, learn, and solve problems like humans. AI systems are designed to simulate human intelligence and perform tasks that require human-level intelligence. The goal of AI is to create machines that can perform tasks that would otherwise require human intervention. AI encompasses various techniques, including machine learning, natural language processing (NLP), robotics, and expert systems.

Machine Learning (ML)

ML is a subset of AI that focuses on the ability of machines to learn from data, make predictions, and improve their performance without being explicitly programmed. In other words, ML algorithms can automatically identify patterns in data and improve their performance over time through experience. ML is about training computers to perform specific tasks without human intervention continually.

Types of Machine Learning

artificial intelligence versus machine learning

There are three main types of ML: supervised learning, unsupervised learning, and reinforcement learning.

  1. Supervised Learning: Supervised learning is the most common type of ML, where algorithms learn from labeled data. The data is labeled with the correct answer or output, and the algorithm learns to make predictions based on that data.
  2. Unsupervised Learning: Unsupervised learning is a type of ML where algorithms learn from unlabeled data. The data does not have any predefined labels or outputs, and the algorithm must find patterns and relationships in the data on its own.
  3. Reinforcement Learning: Reinforcement learning is a type of ML where an algorithm learns by interacting with an environment and receiving feedback in the form of rewards or penalties.

See How AI password generator tool PassGAN can detect your password within a minute, And It is the product of Machine Learning.

Artificial Intelligence versus Machine Learning – Comparison:

  1. Scope: AI is a broader field that encompasses machine learning and other techniques, whereas ML is a subset of AI.
  2. Function: AI is designed to simulate human intelligence and perform tasks that require human-level intelligence, while ML is focused on making predictions or decisions based on data.
  3. Approach: AI is often based on rule-based programming, where the system is programmed with explicit rules for decision-making. ML, on the other hand, uses statistical methods to learn from data and improve its performance over time.
  4. Complexity: AI systems tend to be more complex and require more computational power than ML systems.
  5. Flexibility: ML algorithms can be easily adapted to new data or tasks, whereas AI systems are typically designed for specific tasks and may not be as flexible.
  6. Human intervention: AI systems often require more human intervention and supervision than ML systems, which can operate autonomously.
  7. Performance: AI systems can often outperform ML systems in complex tasks that require human-level intelligence, but ML is more effective for repetitive or high-volume tasks.
  8. Data requirements: AI systems often require large volumes of data to train effectively, whereas ML can be trained on smaller datasets.
  9. Cost: AI systems tend to be more expensive to develop and maintain than ML systems.
  10. Applications: AI is used in a wide range of applications, including self-driving cars, robotics, and natural language processing, while ML is used for tasks like fraud detection, recommendation systems, and image recognition.

Summary (Artificial intelligence versus machine learning):

In summary, while AI and ML are related fields, they have distinct differences. AI is a broader field that encompasses various techniques, including machine learning, while ML is focused on making predictions based on data. Understanding the differences between AI and ML is essential for businesses and individuals looking to implement these technologies effectively. Both AI and ML are transforming the way we live and work, and their impact will only continue to grow in the years to come.

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Save Time and Stay Organized with WhatsApp Pin Message Feature

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pinned messages whatsapp

Meta has announced a new pinned message feature for the globally popular messaging platform WhatsApp that will allow users to pin a chat to the home window.

According to a report by a foreign news agency, WhatsApp has introduced several new features over the past few weeks.

Recently, the feature of sending audio messages once became part of the Meta-owned app, now the feature of pinning messages has been introduced in WhatsApp.

According to WhatsApp management, pinned messages allow users to highlight important messages in both group and individual chats, this feature is designed to save users time by making it easy to find important messages quickly. be

Earlier WhatsApp users could pin chats but it was not possible to pin messages within chats but now it will be possible to do so.

WhatsApp ensures that all message types including text, polls, images, emojis and more can be pinned and kept end-to-end encrypted, the tech company said.

According to the company, this feature has been introduced for users using the Android, iOS and desktop versions. This feature works in the same way as pin chats, i.e. a single message can be pinned within a chat, which On opening this chat window will be visible at the top but unlike pin chats the pin messages will be removed after a certain time.

When a user pins a message, they will see 24 hours, 7 days and one month options and by default a pinned message will be automatically deleted after 7 days. This feature will work in individual chats as well as group chats.

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How to Buy a used iPhone | Step by Step Guide

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How to buy a used iPhone

Hi Friends! If you are going to market for buying a used iphone, or you have a plan to buy an used iPhone of any series, so you are at right place. In today’s blog post we are providing you the key guidelines for buying an used iphone. So let’s start.

Here we are providing you some points which you should have in your mind before buying an used iphone. And by applying these, you would probably buy a best used iphone.

1. Physical Overview + buttons:

This is a very general practice of almost all the persons who buy a used iphone. That they always inspect the iphone by its physical appearance. But during this physical inspection, you should have to do the some core things. In which the number one is buttons. Many times people forgot to inspect the volume and power on/off buttons. The buttons should be clicky and relaxable. They should not be sticky.

2. Beware of Tempered glass scam:

Many iphone owners guard their iphones using a sheet or tempered glass. But when you are buiyn that iphone you should have to check it thoroughly. I mean you should remove that sheet or tempered glass to check the original physical condition of that specific iPhone.

3. Sim tray and IMEI number:

used iPhone Buying guide

The other important thing is sim tray. The IMEI number of the iphone is written on the sim tray. So you should have to verify that imei number to check that the iphone is not refurbished or opened. Specifically if you are buying the used iphone in Pakistan, you can verify that IMEI number on PTA DIRBS official website to make sure it is PTA approved and can be used in Pakistan. And this also show that the sim tray is of this phone and not replaced.

4. Cameras:

The number 4th thing to check when buying an used iPhone is the camera’s condition. You should have to make sure that there is no dust in cameras. Many times the dust particles secures a place in front of camera glass. So you should avoid buying such kind of phones as the camera’s result would be of low quality or dusty.

5. Display Panel:

How to buy an used iphone

The most important thing in my opinion is checking the display panel. The method of checking the display panel is by pressing it from all the four corners of the phone. You should have to make sure that display is not forcing outwards after pressing it. If the display is not setelled down in the phone correctly, it means it is opened or refurbished.

6. Issues regarding previous apple ID:

When you have finalized the decision of buying a used iPhone, so you should have to make sure to logout seller from his own apple ID. And you should make your apple ID and log in on that specific iPhone with your own Apple ID. This check can safe you from buying a bypass Apple iphone. When the seller log out from his ID, make sure to factory reset the iPhone first before logging in with your apple ID.

How to check if iPhone is water packed(sealed) or Not?

Many users have confusion regarding checking the iPhone is water packed or not. So there is a simple method. Just pull out the sim tray from iPhone, and apply the air using your mouth. if the pressure is building, it means it is waterpacked. and if the air is leaking, it means that this iPhone is not water packed.

7. Checking the valid purchase date:

How to buy used iphone

By checking the valid purchase date you should go to settings and the general. The go to about in iPhone general settings and copy the serial number. Then open the web browser and type Apple coverage. Then open the firs site appeared in search results (official Apple Site). Follow the procedure and paste the Copied serial number on this site. It will tell the valid purchase date of iPhone. This test is to make you safe from buying the converted iPhones. In the market, there are many iPhones which are converted from old model to new ones. So do not buy these phones.

8. How to check that iPhone battery health is original or boosted?

So friends, this is the most demanding question that how to check that The battery health of iPhone is original or artificially boosted? So there is not a specific method but we can guide you for some tools that can help to detect the original battery health of an iPhone. First of all presenting you the homemade method. And that is that burst mode. Firstly check the battery health before performing this test. Open the camera, in burst mode, hold the capturing button for about 10-15 seconds. Now again check the battery health. Usually during this test, battery health of a used iPhone falls 1-2%. but if this fall becomes more than this then it means there is a faulty battery or a boosted battery health.

The next method is checking by using 3u Tools. This is a tool which gives you complete information regarding your iPhone. But here we are concerned with the battery health checking. To check the original battery health you should have to compare two stats. One is battery health and other is Charging cycles. If there is a lot of difference between battery health and charging cycles, it means there is some problem. For example if battery health is more than 95 in 70 charging cycles or 100 charging cycles, it is good. But if there are showing more than 1000 charging cycles and battery health is still more than 95% so this is a boosted battery health.

9. Use Phone doctor plus app to safe time:

When you are in the market so you do not have much time to check each and every thing. But it is necessary to check these things. For this, just download the app Phone doctor plus from the app store and it will check the each function of the phone for you.

10. Display change but Genuine apple part:

used iPhone buying guide

Now a days, Genuine apple part display iPhones are in a large variety in the markets. So our opinion is that if there is a certified Genuine apple part written in the Parts and service history, so nothing wrong with it. Because it means that display is changed but the part is imported from official apple Company. But if There is written an unknown part, then miss out that phone because the display is not genuine. To check this, go to general settings in iPhone and the go to About section. Scroll below and click Parts and service history. You can Find this information here.

See more about iPhone 15 back glass failure here

So dear readers that was our 10 points strategy to buy an used iPhone. We hope this will add value to your life and iphone journey. Please follow our website for more these types of guides and walkthroughs and do not forget to share with you friends. Thanks!

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Meet RT-2: The AI System That Can Teach Robots New Tricks

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RT-2

Imagine a cutting-edge AI system that can teach robots to do things they were never specifically trained for. Well, that’s precisely what Google DeepMind has achieved with their new creation called RT-2. This groundbreaking model learns from both web-based data and information gathered from real-world robotics experiences, enabling it to give simple yet effective instructions to robots.

Testing Phase of RT-2:

In the testing phase, RT-2 was challenged with tasks that were completely new to it, not part of its initial training. For example, it was asked to arrange oranges in a matching bowl, something it had never done before. To tackle these unfamiliar tasks, RT-2 tapped into the vast knowledge it had accumulated from the web data it learned. And impressively, it succeeded in completing these actions with a 62% success rate – that’s twice as good as its predecessor, RT-1.

Ability to work on New Commands:

But what makes RT-2 truly remarkable is its ability to adapt and think on its feet. It can figure out new commands and respond effectively, even when those tasks were never part of its training data. For instance, when asked to find an object that could serve as a hammer, RT-2 astutely identified a rock as the most suitable option.

Moreover, RT-2’s cognitive prowess goes beyond single-step problem-solving. It can reason through multiple stages, devising clever solutions to complex challenges. In one test, it ingeniously concluded that a rock would make a perfect makeshift hammer, displaying a level of reasoning similar to how humans would approach the problem. Another time, when commanded to push a bottle of ketchup towards a blue cube, RT-2 achieved the objective, despite having no prior knowledge of any objects except the cube.

This breakthrough by Google DeepMind signifies a major leap forward in the realms of artificial intelligence and robotics. RT-2’s capability to learn from web data and apply that knowledge to real-life tasks opens up exciting possibilities for the future of robotics. As the technology continues to evolve, we could witness the emergence of versatile and helpful robots that can seamlessly integrate into various human-centered environments. While there’s still much work to be done, RT-2 offers a tantalizing glimpse of what’s to come in the fascinating world of robotics.

Some Questions You may want to Know About RT-2:

1. What is RT-2?

RT-2 is an advanced AI model developed by Google DeepMind for robotics. It can teach robots to perform tasks beyond its initial training data, thanks to its ability to learn from web data and apply that knowledge to real-world scenarios.

2. How does RT-2 learn to perform new tasks?

RT-2 learns from a combination of web-based data and information collected from real-world robotics experiences. It uses this diverse knowledge to give robots simple instructions for performing various tasks.

3. What is the success rate of RT-2 in performing new tasks?

In tests, RT-2 achieved a 62% success rate in carrying out tasks that were not part of its initial robotic training data. This is twice as successful as its predecessor, RT-1.

4. Can RT-2 understand and communicate with robots?

Yes, RT-2 can effectively communicate with robots by providing them with clear and actionable instructions. It can direct robots to carry out tasks that it was not explicitly trained for.

5. Does RT-2 demonstrate reasoning capabilities?

Absolutely! RT-2 showcases remarkable reasoning capabilities, allowing it to figure out new user commands and tasks that were not present in its initial training data. It can even perform multi-stage semantic reasoning to solve complex challenges.

6. How does RT-2 adapt to new situations?

RT-2’s adaptability comes from its ability to draw upon the diverse knowledge it acquired from web-based data. It can translate this knowledge into useful instructions, enabling it to tackle new and unfamiliar tasks effectively.

7. What is DeepMind’s view on RT-2’s impact on robotics?

Google DeepMind sees RT-2 as a significant breakthrough in artificial intelligence and robotics. They believe it brings us closer to a future of helpful and more general-purpose robots that can operate in various human-centered environments.

8. How can RT-2 enhance interactions with robots?

RT-2’s ability to teach robots new tasks and communicate effectively with them can significantly enhance human-robot interactions. It opens up possibilities for robots to be more adaptable and helpful in diverse situations.

9. What future possibilities does RT-2 present for robotics?

RT-2’s success in learning from web data and applying that knowledge to real-world tasks offers exciting possibilities for the future of robotics. As the technology advances, we could see robots becoming more versatile, capable, and seamlessly integrated into our daily lives. The potential for helpful robots in various human-centered environments is just within reach.

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