The second day of the Google I/O 18 consisted of several talks including AI and ML in healthcare sector, Web Assembly, Polymer, Chrome Dev Tools, Flutter. Let’s dive in to know what’s new and the improvements that have been made to the web!

Artificial Intelligence(AI):

Google’s AI to Improve Healthcare

We all have unfortunately, heard a doctor express with utmost despair that they could have done better if the patient could have been brought to medical attention a little early-on. Google thinks it can solve this problem for mankind. Last year at Google I/O, Sundar Pichai demonstrated the advanced computing powers of Google named Tensor Processing Units (TPU) which now has been working with eye hospitals to help doctors use Deep Learning, a machine learning module to screen Diabetic Retinopathy in a better way.

Google’s AI analyses about 100,000 data points per patient, something humans can’t do, to determine if their health is likely to deteriorate in near future and if they may need readmission. The current level of accuracy in prediction by Google’s AI is better than traditional methods by 10%; the aim is to empower doctors by nearly 48 to 24 hours in advance before a patient falls sick again.

Google focuses to make healthcare better by helping doctors be more efficient and for patients to get better quality of healthcare, in Google I/O 2018 this is only a beginning of human and machine working together.

Do It Yourself Artificial Intelligence

Google introduced the AIY Kits: a series of open source projects that include hardware and software tools, showcasing on-device artificial intelligence. With AIY Kits, users can use artificial intelligence to make human-to-machine interaction more like human-to-human interactions.

The first open source project is the Voice Kit. The speech recognition ability in this kit allows you to add voice recognition to assistive robots, talk to control devices such as light bulbs and replace physical buttons on household appliances and consumer electronics.

For Developers:

1. Chrome DevTools

There is a new shortcut, Ctrl + F that will pull up a new search sidebar in the Network pane of Chrome DevTools. With this search sidebar, you can search through headers and their values. You need to make sure Site Isolation for Chrome is enabled by heading to chrome://flags#enable-site-per-process and activating it.

Performance Isolation – The Performance panel has been improved to provide flame charts for every process.
Certificate Transparency – The Security panel now provides the ability to show the certificate transparency information of a secure website.
Sources Panel – The Sources Panel has a Network tab. The Network tab is now called the Page tab.

2. Web Performance

Google analyzes a lot of sites and has learned over time how to make them extremely fast. The Web Performance made easy talk by Eva and Addy Osmani showed how to fix common web performance bottlenecks and take advantage of the latest browser APIs to improve loading experience.

New Lighthouse Web Performance Audits
Optimizing Caching Strategies – Cache as many resources as possible efficiently.
Remove unnecessary bytes and don’t send things twice – Optimize Caching strategies. Cache as many resources as possible.
Remove unused JavaScript and CSS from the Critical Path.
Eliminate unnecessary downloads.
Don’t serve un-optimized or unnecessary images to your users.
Help browsers deliver critical resources.
Have a Web Font Loading Strategy.

Google announced a new experimental browser feature called Priority Hints. It allows you to specify the importance of a resource. The browser loads the resources with high importance first before the others.

3. Web Assembly

Google is working really hard to allow developers import web assembly modules into their JavaScript apps and have Chrome render it effectively. With Web Assembly, software like AutoCAD and Complex3 have created complex but fast UI web experiences.

Smart Machines & Smarter Humans: AI in the Manufacturing Industry

By : Sampada S M

Published on Feb 19, 2025

AI Artificial Intelligence Manufacturing

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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