Author: Suraj Kumar

Before understanding the embedded PHP we have to know that we can write our complete web applications in standalone PHP, but in most cases, PHP is embedded in HTML or XML file. Before Knowing Just because PHP is a scripting language & is used for making the page dynamic and process Logical tasks.

A source file can contain numerous lines of codes including PHP or non-PHP style. Working with PHP is quite different from HTML because the clients are unable to download the source code in PHP. Do you know that what happens when a user requests a PHP page? -The code in the requested file is processed by the server then it displays you the result in HTML form.

The main aim of working with PHP is to use the processing powers of the server to build the dynamic web pages. This means that if you click “view source” on a PHP page, you are not able to see the PHP codes you will see only HTML tags. Due to this, you cannot see how a PHP page is made and what logic is used to process the page with the help of “view source”.

Example PHP code

            echo "Hello world using echo </br>";  
            ECHO "Hello world using ECHO </br>";  
            EcHo "Hello world using EcHo </br>";  

Embedding PHP in HTML

Have a look on given example :

Echo "<html>"; 
Echo "<title>HTML with PHP</title>"; 
Echo "<b>ExpertPHP Example</b>";  
//your php code goes here   

As i told you that you can even embed php code within HTML Tags too, please have a look on given example.

<title>Embed PHP within HTML tags</title>
Put here your HTML code
        // php code goes here
Back into normal HTML

You can also put your html code within specific conditions of PHP.

<?php if(your condition) { ?>
<?php } ?>

Transact-SQL statements can refer to GETDATE anywhere they can refer to a datetime expression.

GETDATE is a nondeterministic function. Views and expressions that reference this function in a column cannot be indexed.

Using SWITCHOFFSET with the function GETDATE() can cause the query to run slowly because the query optimizer is unable to obtain accurate cardinality estimates for the GETDATE value. We recommend that you precompute the GETDATE value and then specify that value in the query as shown in the following example. In addition, use the OPTION (RECOMPILE) query hint to force the query optimizer to recompile a query plan the next time the same query is executed. The optimizer will then have accurate cardinality estimates for GETDATE() and will produce a more efficient query plan.

SELECT RIGHT(YEAR(Creation_Date), 2) YY FROM Table_Name


| YY |
| 10 |
| 11 |
| 13 |

What Is Artificial Intelligence (AI)?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.

Understanding Artificial Intelligence

When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.

As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optimal character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.

AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based in mathematics, computer science, linguistics, psychology, and more.

Applications of Artificial Intelligence

The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for dosing drugs and different treatment in patients, and for surgical procedures in the operating room.

Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.

Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank’s fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.

Categorization of Artificial Intelligence

Artificial intelligence can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon’s Alexa and Apple’s Siri. You ask the assistant a question, it answers it for you.

Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.

Special Considerations

Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike. One common theme is the idea that machines will become so highly developed that humans will not be able to keep up and they will take off on their own, redesigning themselves at an exponential rate.

Another is that machines can hack into people’s privacy and even be weaponized. Other arguments debate the ethics of artificial intelligence and whether intelligent systems such as robots should be treated with the same rights as humans.

Self-driving cars have been fairly controversial as their machines tend to be designed for the lowest possible risk and the least casualties. If presented with a scenario of colliding with one person or another at the same time, these cars would calculate the option that would cause the least amount of damage.

Another contentious issue many people have with artificial intelligence is how it may affect human employment. With many industries looking to automate certain jobs through the use of intelligent machinery, there is a concern that people would be pushed out of the workforce. Self-driving cars may remove the need for taxis and car-share programs, while manufacturers may easily replace human labor with machines, making people’s skills more obsolete.