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Here is Everything Apple Announced at WWDC 2016 – Day 4.

Many products were at some point rumored to have a possible connection with WWDC 2016, including the next-generation Apple Watch, MacBook Pro, and Thunderbolt Display. Those that have been following rumors consistently, however, will know that the most of the products were actually in the second half of wwdc 2016. The day 4 didn’t have much for store, so they were beating around the announcements of first day. Mac, Home Kit and Apple Watches continued to be the main attraction of the day 4.

The highlights of day 4 were:

Macs

Prospective buyers were hopeful that Apple would surprise with a new MacBook Pro at WWDC 2016, despite the keynote being billed as a no-hardware affair, but the comapny delivered upon expectations and focused on software announcements only. So, when will the 2016 MacBook Pro be released?

Launched in the second half of 2016. KGI Securities analyst Ming-Chi Kuo said Apple will launch three new MacBook models by year’s end: a thin and light 13-inch MacBook in the June-September quarter, and two thinner and lighter 13-inch and 15-inch MacBook Pro models in the September-December quarter.

Kuo said the 2016 MacBook Pro will feature a thinner and lighter form factor, Touch ID, and a new OLED touch bar positioned above the keyboard. Leaked photos of what appears to be the notebook’s unibody revealed space for the OLED touch panel and four USB-C ports. The new MacBook Pro is also expected to adopt metal injection mold-made hinges, which are reportedly already shipping.

The new MacBook Pro lineup is also expected to feature faster Intel Skylake processors, USB-C ports with Thunderbolt 3, and possibly AMD’s new 400-series Polaris graphics chips for the top-of-the-line model by the year fall. 02-apple-wwdc-2016-mac-os-pip-630
Apple Watch

watchOS 3, which will be available for all Apple Watches in the fall, launches apps and lets you navigate between them more quickly, offers streamlined iOS-like control of settings and quicker watch-face changes, and makes sending and receiving messages easier. In other words, watchOS 3 makes the Apple Watch deliver more on its original promise of at-a-glance utility.

The most obvious improvement is that your frequently used apps—both Apple’s own and third-party—can update themselves in the background, launch with hardly any delay, and show updated information right away. Launch delay is probably the most common complaint about the Apple Watch, and the improvements (at least as shown in Apple’s demonstration) are significant. Switching between watch faces is now a left-to-right swipe instead of a force-touch and scroll, so you can quickly switch between, say, a health-focused Activity ring face and more traditional dials. Apple has added gestural text entry, so you can more easily send or respond to messages from the Watch face. A new Dock of recently used apps replaces the dial-a-friend spinner in the current watchOS, and a swipe-from-the-bottom Control Center (along the lines of the one in iOS) looks to be much more useful—and more usable—than finding the Settings app. Fitness tracking has become more inclusive with the addition of profiles that, among other things, recognize wheelchair users (one of many straightforward usability improvements that caught our eye).

Also announced was a new SOS feature that lets you call 911 (or corresponding international emergency services) with a press of the Watch’s side button, so long as you’re connected to LTE or Wi-Fi via a mobile device. The SOS function sends your location and shares basic medical information you’ve chosen to store on your phone. It isn’t a flashy innovation, but it is a smart use of the technology at hand.

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HomeKit

HomeKit, Apple’s system for integrating smart-home devices without the use of a hub, receives an important upgrade in iOS 10 in the form of an official app called Home. Prior to the Home app, users of HomeKit-compatible devices could integrate their products’ features in third-party apps, with different levels of success and support. Now, with an Apple-designed app, you should experience better and more-uniform support of device features. The Home app allows you to access all your HomeKit devices, including smart door locks, doorbell cameras, smart plugs, light switches, and more (Apple claims nearly 100 different products), from one place, rather than opening all the individual apps for those devices.In addition to device control, you’ll be able to create and access scenes, such as “Good Morning” or “Good Night,” from within the app. You can trigger the scenes either by tapping the scene button in the app or by using your voice via Siri. For example, a “Good Morning” scene can turn on your lights, adjust your thermostat, and start your coffee. A “Good Night” scene could turn off all your home’s lights and lock the front door. Apple has made it easier to get to your smart-home devices by adding Home to the phone’s Control Center. The Home app also puts your device notifications, including video from security cameras, in the Notifications Center from the lock screen.

Though HomeKit is technically hubless, if you have an Apple TV, you can use it as a gateway for remote access to your HomeKit devices when you’re away from home.

The Home app will be available on both the iPhone and iPad, and it will also be supported by the Apple Watch (which reps described as being able to function as a whole-home remote).09-apple-wwdc-2016-homekit-630

Day 4 was going slow in the beginning but these announcements made it exciting. The 5th day expectations are high as it is closing day of WWDC 2016. For updates of 5th day stay with Mantra Labs.

If any queries approach us on hello@mantralabsglobal.com

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Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

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