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Android 13: Latest in OS

3 minutes 40 seconds read

Android 13 (Code name – Tiramisu)- the next big OS update is around the corner for users in July. Now, why is this update important? Users will get features, security and privacy enhancements that go beyond the little fixes provided in monthly updates. For developers, this latest rendition will introduce new features, tools & API’s to improve their productivity and build apps faster. 

Google had already rolled out the beta version of Tiramisu in April for developers to test their applications. 

Here are the key features that Android 13 will offer to developers and users: 

  1. New Copy Paste UI: Give confirmation on whether the content was successfully copied or not and provide a preview of the copied content once it is added to the clipboard.
  2. Predictive back gesture: This feature allows the user to decide whether to continue or stay in the current view by previewing the destination or other result of a back gesture before they fully complete it.
  3. Themed app icons: This feature will change colors of app icons dynamically based on the user’s chosen wallpaper and other themes.
  4. Quick Settings placement API: Using this API, users can change settings or take quick actions without leaving the context of an app.
  5. Better support for Multilingual users: Apps can use new platform APIs to set or get a user’s preferred, per-app language. Users can set different languages for different applications.
  6. Improved Japanese text wrapping: TextViews can now wrap text by Bunsetsu (the smallest unit of words that sounds natural) or phrases—instead of by character—for more polished and readable Japanese applications.
  7. Improved line heights for non-latin scripts: Android 13 improves the display of non-Latin scripts (such as Tamil, Burmese, Telugu, and Tibetan) by using a line height that’s adapted for each language. The new line heights prevent clipping and improve the positioning of characters.
  8. Text Conversion APIs: In Android 13, apps can use text conversion API to make search & auto completion faster and easier.
  9. Unicode Library Updates: Android 13 adds the latest improvements, fixes, and changes that are included in Unicode ICU 70, Unicode CLDR 40, and Unicode 14.0.
  10. Faster Hyphenation: Hyphenation makes wrapped text easier to read and helps make your UI more adaptive.
  11. Color Vector Fonts: Android 13 adds rendering support for COLR version 1 (COLRv1) fonts and updates system emoji to the COLRv1 format. 
  12. Bluetooth LE Audio: Android 13 adds built-in support for LE Audio, so developers should get the new capabilities for free on compatible devices. Users can receive high fidelity audio without sacrificing battery life.MIDI 2.0: Android 13 adds support for the new MIDI 2.0 standard, including the ability to connect MIDI 2.0 hardware through USB.

Android 13 will focus on user privacy & security as well:

  • Permissions: Android 13 has some changes in runtime permission of notifications, scanning of nearby wifi devices, media, alarms, background running body sensors & developer downgradable permissions.
  • Photo Picker: A new photo picker feature will provide safe, built-in way for users to select media files without granting access to their entire media library.
  • Safer exporting of context-registered receivers: A new security feature allows user to specify whether a particular broadcast receiver in the app should be exported and visible to other apps or not.
  • Hide sensitive content from clipboard: Apps that allow users to copy sensitive content to clipboard must add a flag to hide that content from previews.
  • Tablet and large-screens support: Android 13 builds on tablet optimizations introduced in Android 12 and 12L feature drop—including optimizations for system UI, better multitasking, and improved compatibility modes.

What else is interesting?

  • Notification Prompt Request: All the applications will seek user permission to send notifications.
  • Split-screen View: Users can long press on notifications and drag them down to get into split view. They no longer have to interrupt their process on one app to open up another.
  • Customization to give a different look to the phone: Users can choose from pre-made color variants. Once applied across the entire OS, it will accentuate wallpaper and style.
  • New Media Control. Users can customize look based on music that they are listening to, featuring the album’s artwork visible on lock screen and in notifications panel.

In a nutshell

Android has been the world’s most popular mobile operating system. The 13th addition will be more user-friendly than ever before. With significant features and tools, it intends to enhance developer productivity as well. From the business perspective, the modifications in the user interface and behavioral changes promises to help them grow customer satisfaction. It will help them bring out applications faster, experiment and develop mobile apps that can give a great experience to the users.

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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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