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Trending PHP Frameworks in 2020

PHP, one of the most popular server-side scripting languages, is widely used for creating basically anything on the Web. In fact, the original abbreviation stood for Personal Home Page.

Among its various examples such as Joomla, Drupal, Magento, MediaWiki and more; WordPress is the most regularly used server running on PHP. It alone powers over 30% of the web. 

Having highly dynamic web-development trends; as of 2019, 78.9% of the websites and app development companies use PHP frameworks and Cloud. This proactive approach helps them obtain the best of both the technologies and avail cost-effective, scalable and flexible web solutions at the same time. 

78.9% of websites use PHP for server side programming

Apart from frameworks like CodeIgnitor, Cake PHP, Phalcon and Aura lets have a brief of top PHP trends in 2020.

Top PHP Frameworks in 2020

Laravel

Laravel Framework

This all-inclusive framework helps in speeding up app development, integrating it with the model-view-controller (MVC) architecture. Apart from MVC, features like ORM, RESTful controllers, the lightweight Blade template engine, unit testing, and its comprehensive packaging systems, make Laravel one of the most used PHP framework.

Benefits of Laravel infographic

In Laravel, an in-built robust composer is available to help add the packages with ease, making it easy to work with NoSQL structures, such as MongoDB and Redis.

Yii

Yii Framework

Yii is one of the fastest and secluded PHP frameworks trending. The Yii framework has a component bundle that makes it lightweight and more proficient. Yii is known for its easy installation process and can be easily extended. In this framework, PHP integrates with CodeCeption which is a popular testing framework that allows faster web application development and testing.

Kohana

Kohana PHP Framework

Kohana was built with PHP OOP in mind.

Advantages of Kohana:

  • Visibility protection 
  • Abstracts
  • Automatic class loading
  • Interfaces
  • Overloading
  • Singletons

Slim

Slim - a micro PHP Framework

Being a popular PHP micro-framework, Slim is minimalist in design. It is excellent for small web applications where a full-stack PHP framework is not a requirement.

Packed with rich features like URL routing, client-side HTTP caching, session and cookie encryption, etc; it’s used by many PHP developers to develop RESTful APIs and web services.

Zend

Zend Framework

Zend is one of the most prominent go-to professional PHP frameworks. It is commonly used It is built with an extensive set of features such as security, extensibility keeping in mind its performance. Zend has an enterprise driven nature with the support of numerous components such as feeds, forms, services and more.

Business benefits of Zend Framework infographic

For more information on other PHP, frameworks read 

Latest PHP trends in 2019
Latest PHP trends in 2018
Latest PHP trends in 2017

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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