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Artificial Intelligence has significantly transformed the way we work and interpret information. With technologies such as OCR, machine learning, deep learning, natural language processing, and computer vision; machines are now able to provide greater insights and perform tasks that typically required hours and hours of work from humans.

What is artificial intelligence?

A.I. or artificial intelligence is the technology that enables machines to perform tasks that usually require human intelligence. But instead of using human brains, A.I. uses different technologies such as computers, or even software algorithms, to perform tasks. Some of the most common A.I. technologies include speech recognition, voice recognition, machine translation, natural language processing, computer vision, and predictive analytics. The term artificial intelligence comes from the combination of artificial and intelligence. While artificial intelligence is a property of the physical world, intelligence is the property of the mind. How does it make sense in Web Development? As mentioned earlier, A.I. has significantly transformed the way we work and interpret information.

How is AI applied to web development?

In the majority of cases, AI is used to assist a developer in a number of functions: Automatically format existing content, analyze images for semantic meaning Break down complex tasks into smaller pieces Example applications of AI in web development Example image compression algorithms. Tools such as image recognition and machine learning have been key factors in the development of new image processing algorithms. Traditionally, manually processing an image was a lengthy and tedious process, but when computer vision was introduced into the process it drastically decreased the amount of time required to complete this task. Now, programs such as image recognition can identify objects in images and classify them based on both visual and metadata attributes.

Machine learning

When data is fed into a machine learning algorithm, the machine learns to understand it. For instance, if you provide a machine learning algorithm examples of dogs verses blueberries, the machine will learn to identify what a picture of a blueberry looks like, verses a picture of a dog. Natural Language Processing Natural language processing is a sub-field of machine learning. You can apply natural language processing for reading emails, chatting, or writing blog posts (such as this one!). A good example of natural language processing in action can be found in Microsoft's Cortana. Deep learning This is the most popular type of artificial intelligence today.

Deep learning

Deep learning algorithms are very similar to how the human brain works, with its built in mechanisms to learn and memorise a vast amount of information. It's these connections that enable machines to be able to recognise patterns and learn from them. An example of this is Google Translate, which recognises more than a 1,000 languages. This isn't an example of AI but it shows how useful these programs can be. Deep learning is one of the hottest technologies in the field of machine learning and this explains why almost all of the major technology companies are pushing these advances forward.

Natural language processing

For example, your phone can understand you better when you speak to it. If you say “Hey, Siri,” your phone will listen to you and respond to your questions. In general, it means that the system has been trained and is able to better understand the context of what you’re trying to communicate. This type of Natural Language Processing is used in the majority of companies today, including the likes of Google and Apple, to improve the user experience, provide better customer service, and to aid in the effective execution of processes. Machine learning Machine Learning is an extremely powerful technique used to further improve the knowledge of artificial intelligence, as well as to make machines smarter by discovering patterns and generalities in vast amounts of data.

Computer vision

Computer vision is a technology that has been able to recognize objects in images and video for eons. A popular example is Apple's Siri, which was one of the first software to use computer vision to provide contextual awareness. AI is built on this technology, providing the capability to recognize various images and videos. The industry is still in its infancy, but what we have seen so far has been incredibly incredible. What's amazing is that just a few years ago we thought that vision was completely under our control, but now, it has evolved to understand the nuances of objects.

Conclusion

“In the year 2050, the Amazon book you ordered for your Kindle will be delivered by a drone.”

This futuristic statement by Amazon CEO Jeff Bezos did leave you pondering. But it is one thing to dream about the future and another thing to think about the innovations taking place in the present and how you can exploit them to drive better business results. To make the most of the technologies coming to our everyday lives, we must acquire a knowledge of the AI technology, its features, and its application. Succeeding in today’s competitive and challenging business world, requires a broad set of skills such as coding, business analysis, computer programming, and ecommerce marketing.

Learn more about AI with our video library

Recently I was faced with a task to post data from a .csv file to an external REST API. I’m just going to log in to this article about what I did to get the job done.

Let’s start by creating a template for uploading the file. For this article’s sake, lets make the changes in the dashboard.blade.php file.

<form method="post" enctype="multipart/form-data"> @csrf <div class="custom-file"> <input type="file" accept=".csv" name="excel" class="custom-file-input" id="customFile" /> <label class="custom-file-label" for="customFile">Choose file</label	> </div> <div> <button type="submit" class="btn btn-primary btn-sm" style="margin-top: 10px"	>Submit> </div>

</form>

Note : Don’t forget to add enctype=”multipart/form-data”!



Once the user has submitted the file, we need a new router to process the file and send its content to the REST API. Let’s start by creating a Controller.

php artisan make:controller UploadController

Now in the web.php file,

Route::post('/upload', [UploadController::class, 'upload'])->name('upload')->middleware('auth');

In the UploadController.php , create a function named upload. We will be writing all the code inside this function. Also, we need an action for the form.

<form method="post" action="{{route('upload')}}" enctype="multipart/form-data">

Now inside the upload function, we need to get the submitted file and parse its contents.

Get the submitted file,

$file = $request->file('excel');

Parse the submitted file,

if (($handle = fopen($file, "r")) !== FALSE) { while (($data = fgetcsv($handle, 1000, ",")) !== FALSE) { ..... }

}

We will be using a dummy REST API to create users — https://reqres.in/api/users. This is the request body required to create a user.

{ "name": "test", "job": "test"

}

Keeping this in mind, we will create a sample .csv template to be submitted. The fields need to be two, namely Name and Job.



We need to send the values from this file as the request body to the API. So let’s add the code to loop through the content of this file.

if (($handle = fopen($file, "r")) !== FALSE) { while (($data = fgetcsv($handle, 1000, ",")) !== FALSE) { Http::post('https://reqres.in/api/users', [ 'name' => $data[0], 'job' => $data[1], ]); }

}

This will create each student for each row of the file. But we don’t need to send the data of the first row of the file.

Full code:

public function upload(Request $request){ $file = $request->file('excel'); if($file){ $row = 1; $array = []; if (($handle = fopen($file, "r")) !== FALSE) { while (($data = fgetcsv($handle, 1000, ",")) !== FALSE) { if($row > 1){ Http::post('https://reqres.in/api/users', [ 'name' => $data[0], 'job' => $data[1], ]); array_push($array,$data[0]); } $request->session()->flash('status', 'Users '.implode($array,", ").' created successfully!'); $row++; } } }else{ $request->session()->flash('error', 'Please choose a file to submit.'); } return view('dashboard');

}

This will post the data starting from the second row of the file, display a success message once the users are created, and an error message if the submit button is clicked without choosing a file.

Full template:

<div class="container max-w-7xl mx-auto sm:px-6 lg:px-8" style="width: 50%"> @if (session('status')) <div class="alert alert-success"> {{ session('status') }} </div> @endif @if (session('error')) <div class="alert alert-error"> {{ session('error') }} </div> @endif <form action="{{route('upload')}}" method="post" enctype="multipart/form-data"> @csrf <div class="custom-file"> <input type="file" accept=".csv" name="excel" class="custom-file-input" id="customFile" /> <label class="custom-file-label" for="customFile">Choose file</label> </div> <div> <button type="submit" class="btn btn-primary btn-sm" style="margin-top: 10px">Submit</button> </div> </form>

</div>

That’s it, thanks for reading :)

PHP, by all means, is an immensely powerful language!



We may fall short of words, but there won't come any end to its qualities. The endless functionalities and possibilities of this server-side scripting language have managed to get it a strong and supportive community of PHP programmers on a global level. At present, PHP powers more than half on websites and applications on the internet.


Do you know what makes PHP so praiseworthy?



It is the simplicity, easy programming structure, and developer-friendly web functionalities that are to be credited to turn PHP into one of the top programming languages. You can create highly interactive and dynamic websites and applications with desired results by making use of PHP.



However, coding often could be a tough and tedious task to accomplish. As a solution to this, you get built-in PHP libraries that optimize the process of coding for maximum productivity.

But what are these libraries?

That's exactly what you will find out as you move ahead in this article, a list of top 12 PHP libraries capable of leading the development process in an intended manner.



So, without waiting any further, let's move ahead to learn about PHP libraries in-depth.

PChart

PChart is a PHP library assisting with the generation of text data in the form of something more appealing to the eyes and known as visual charts.



You can use this library to represent data as bar charts, pie charts, and many more different formats. The PHP script here utilizes SQL queries to put data in the impressive charts or graphs form.

Mink

Another well-known in the list of PHP libraries is Mink. It allows you to keep an eye on if a proper interaction is happening between your web apps and the browser. Eliminating the API differences between the two types of browser emulators, Mink offers an authentic testing environment for you. It also supports PHPUnit, Behat, and Symfony2.

Monolog

Monolog is a PHP logging library that helps you with saving logs to the specified locations by sending them to set files, sockets, inboxes, databases, or other web services. The use of the PSR-3 interface permits to type-hint logs in counter to your libraries that maintain optimum interoperability.

Hoa

This modular, extensible, and structured set of PHP libraries we know as Hoa establishes a link between the research and the industry.



It recommends essential paradigms, mechanisms, and algorithms for building the reliability of a site. Many PHP developers in different parts of the world use Hoa for ideal PHP development.

Guzzle

Guzzle is an HTTP client library for PHP that enables you to send HTTP requests to combine with web services.



It offers a simple interface that makes the development of query strings, POST requests, HTTP cookies, and many other attributes possible. You can also use Guzzle to send synchronous and asynchronous requests from the similar interface.

Ratchet

If your need is to develop real-time, two-directional apps between clients and servers over WebSockets, Ratchet is the PHP library you need to do it effectively.



Creating event-driven apps with Ratchet is a rapid, simple, and easy job to do!

Geocoder

Geocoder is a library to create applications that are very well geo-aware.



With Geocoder, there is an abstraction layer that helps with geocoding manipulations.



It is further split into two parts, known as HttpAdapter and Provider.

ImageWorkshop

ImageWorkshop is an open-source PHP library letting you work over the manipulation of images with layers. You can crop, resize, add watermarks, create thumbnails, and so much more. You can also enhance the images on the sites.

PhpThumb

phpThumb is the library specialized at handling the work associated with creating thumbnails with minimal coding. Accepting every image source type and image formats, it makes you do a lot ranging from rotating or cropping to watermarking or defining the image quality.

Parody

This simple library we know as Parody is used to copy classes and objects. It also provides results for method calls, acquiring properties, instantiating objects, and more. Sequential method chaining is used by Parody to produce defining class structures.

Imagine

This object-oriented PHP library is meant for working with images along with manipulating them. The often adopted operations such as resizing, cropping, and applying filters happen instantly and relatively well with Imagine.



With Imagine, you get a color class that forms the RGB values of any given color. Draw shapes like arc, ellipse, line, etc. with the features available.

PhpFastCache

PhpFastCache is an open-source PHP library that makes caching feasible. Coming as a single-file, it can be integrated within a matter of minutes.



Caching methods supported by PhpFastCache involve apc, memcache, memcached, wincache, pdo, and mpdo.


The Bottom Line




It's not about what extra difference these libraries make; it's about what significant individual contributions these libraries make for a final desired PHP app or website.



A PHP programmer, too, agrees with these libraries' benefits.



It's your time now to try and believe!

People that visit your website face an invisible threat each time they log on. Small businesses are especially vulnerable to digital data breaches, and that can change the way your customers feel about you. But, although you cannot stop hackers from trying, there are things you can do as a business owner to make your website a safer experience for everyone. Keep reading for tips.

Mature digitally.

You may be ahead of the times when it comes to products and services, but, chances are, your website hasn't fully kept up. It's time to learn all you can about the internet and digital security. If you are already somewhat tech savvy, a PHP Security Course from Nomad PHP can help you better understand everything from cryptography to website error messages.

Adapting to today's digital environment means transforming your website to quickly and easily identify threats via machine learning and network monitoring. And, as Upwork explains, digital maturity not only keeps your website safe, but adopting this mindset can also increase your efficiency and accuracy by reducing human errors.

Understand the threats.

It is not enough to simply keep up with your website, you also have to understand the types of threats that are out there. You're likely familiar with ransomware and phishing, but, it's also a good idea to know how a website can get hacked. Your site's content management system and vulnerabilities within your operating system are all weak points that hackers can easily identify.

Insist on security measures.

When customers log into your website, they input their credentials. Each time they do so, you can best protect their information by keeping your systems up to date. You'll also want to ensure that your site is hosted on a secure service and that you have an SSL certificate installed.

If you are not already, have your IT department or managed IT services perform regular website security checks. PhoenixNAP, an IT services provider, notes that those websites working via WordPress should also be safely outfitted with the most recent security plug-ins.

Eliminate spam.

If your website allows for comments that are not manually approved, anyone on the internet can post. This leaves it open for hackers and other unscrupulous individuals to comment with spam and malicious links that your customers may inadvertently click on. While many of these simply exist as a way for the commenter to drive traffic to another website, others are designed to draw your readers' attention, gain their trust, and access their personal information.

Prioritize passwords.

Your customers' passwords are the keys by which they open the door to your website. Unfortunately, many people do not treat them with as much care as they do the keys they use in the non-digital world.

It's true, passwords can be a pain, but you are not doing yourself or your customers any favors by allowing simple one-word passcodes to access your site. Instead, design your site to require a strong password. How-To Geek asserts that this will have a minimum of 12 characters and include a combination of upper and lower case letters, symbols, and numbers.

While you will likely rely on your IT experts to secure your website, the truth is that it is ultimately up to you to ensure this is done. So even if you are not a digital mastermind, knowing all you can about web security can help you be a better business owner. Your customers will be safer, and a secure website is just one way to strengthen your business's online presence and keep up with today's -- and tomorrow's -- technology.

Technology is constantly changing the way we interact, research, and react. One such way artificial intelligence is impacting our daily lives, and we may not even realize it is in weather forecasting.

The forecast we usually have been receiving in our phones and in older times primarily in newspapers, was based on data collected via satellites, radar system and weather balloons. In recent times there has been the addition of IoT based sensors as well. However, with the advent of Artificial Intelligence (AI) finding its way in numerous areas, AI has taken a role in improving the accuracy of weather as well.

The Dataset expansion

A significantly enormous set of data is available - from the weather satellites in space, to the private and government owned weather stations which are gaining real-time data. IBM for instance has more the 0.25 million weather stations that help IBM collect real-time data. Additionally, as we are in the age of Internet of Things (IOT), each small device to big device- cellphones, solar panels and vehicles everything has become or is yet to become yet another data source. Companies like GE have installed IOT street lights, which help in monitoring air quality and humidity. These are some of the few sources which help us in collecting the vast amount of data necessary for building on the AI technology, in future these sources and the amount of available data would grow exponentially.

Google and Weather forecast

Using the AI technology Google is able to develop a weather forecast tool, it has been trained to predict rainfalls accurately as much as six hours before. The underlying technology on which this prediction is build upon is U-Net convolutional neural network which is originally used in biomedical research. It works by taking satellite images as input and uses AI technology to transform these images into high resolution images. The only off-set is this is not real-time prediction and the delay due to complex calculations results in using six-hour old data and hence can only predict six-hours before.

IBM and its efforts in weather prediction

The quest for IBM to venture into weather forecasting began with IBM acquiring The Weather Company. IBM plans on using the large amount of weather data available coupled with IBM Watson and the cloud platform to enhance weather forecasting. In 2019 IBM developed Global High-Resolution Atmospheric Forecasting System (GRAF) in order to forecast weather conditions 12 hours prior to a greater degree of accuracy. The radius encompassed by the GRAF is also more narrowed down up to 3 kilometers as opposed to generally being 10-15 kilometers. Another of its marvel is that it gives accurate predictions down to each hour and not just daily.

Artificial Intelligence and Panasonic

Panasonic is the company behind TAMDAR, the weather sensor installed on commercial airplanes. With this advantage of extensive amount of data from in-flight sensors as well as publicly available data Panasonic developed Global 4D Weather. Proving to their claim of being the most advanced global forecasting platform globally they were able to timely predict Hurricane Irma in its early days.

Uses of Weather Forecasting

Sales

Everyday life decisions are affected by weather, it makes us choose in the way we travel, things we eat and things we buy to wear. The rise in temperature may increase sales of chilled drinks, if the company is fully aware of the forecast it would be able to manage productions as per demand. AI can help brands in maximizing sales based on weather forecasts and in minimizing waste.

Natural Disasters

The Panasonic Global 4D weather predicting Hurricane Irma is just another example where timely prediction can save millions of lives in face of situations like floods and Hurricanes. Companies like IBM combine weather forecasting data with utilities distribution network, which enables them to narrow down areas with likely outages. This enables utilities to place their workforce timely so the repair process catering to damage repairs post disasters is shortened. This in turn brings huge benefits to the overall economy.

Agriculture

The weather and agriculture have the most obvious correlation, each process in farming from sowing to reaping all depends on the weather. As farmers cultivate on huge farming lands, accurate information about each part of the land can help farmers in improving their crops and yield by manifolds. Weather conditions can lead to almost 90 percent of crop losses, 25 percent of these losses can be avoided using accurate AI prediction models to forecast weather and in turn improve the yield.

Transportation

Sea travel has always been eventful, timely prediction of storms by using machine learning techniques and hyper-local data allows companies to plan shipments accordingly and avoid severe weather conditions that usually result in delays. Tools like IBM’s Operations Dashboard for Ground Transportation equips in enhancing productivity based on weather predictions.

Another of the implementation of AI in transportation industry corelating to weather is fuel consumption. For instance, using weather prediction models to reduce airplane fuel consumption during its ascent.

To conclude Artificial Intelligence has a key role to play in weather forecasting, weather direct or indirectly impacts each sector in the economy. As the amount of information available to improve predictions increases exponentially it gives a chance to AI to improve accuracy even further. As we continue narrowing down weather conditions precise to time and location the benefits of such advancements across all industries are innumerable.