The many ways machine learning has revolutionized the aviation industry

Augmented Reality and Aviation
Artificial Intelligence & Machine Learning, , , ,

The aviation industry has experienced tremendous growth in recent years, thanks to technological advancements that have made flying safer, more efficient, and cost-effective. One of the most exciting impactful advances in aviation technology is machine learning. By harnessing the power of machine learning, airlines can efficiently analyze massive volumes of data, enabling them to make well-informed decisions and enhance safety measures. In this blog post, we will delve into the transformative power of machine learning in revolutionizing the aviation industry and examine its profound implications for the future.

Safety First!

Safety is of utmost importance in the aviation industry, and the utilization of machine learning holds the potential to further enhance the safety of air travel. With access to vast amounts of data, machine learning algorithms can detect patterns and anomalies that humans may overlook. This technology can be used to predict and prevent potential safety hazards, such as mechanical failures or adverse weather conditions. Machine learning can also analyze pilot and crew performance data to identify areas for improvement, leading to better training programs and ultimately safer flights. As a result, passengers can have peace of mind knowing that their safety is being prioritized in every aspect of air travel.

Flight Operations

AR increases aviation efficiency

In addition to enhancing safety, machine learning is also revolutionizing flight operations. With real-time data analysis, airlines can optimize flight routes to reduce fuel consumption and decrease flight times. Machine learning algorithms can also analyze historical data to predict demand for flights and adjust schedules accordingly, reducing delays and cancellations. This technology can also assist with flight planning and decision-making processes, such as determining the most efficient altitude for a flight based on weather conditions. By improving operational efficiency, machine learning is saving airlines time and money while also reducing their impact on the environment. These improvements not only benefit the airlines but also provide a better travel experience for passengers.

Efficiency at its Best

Another area where machine learning has great potential to revolutionize the aviation industry is in streamlining operations and improving efficiency. Airline companies deal with immense amounts of data on a daily basis, ranging from passenger bookings and flight schedules to maintenance and crew schedules. By implementing machine learning algorithms, airlines can quickly analyze this data and make predictions on potential delays or cancellations, allowing them to take proactive measures. This not only saves time and resources but also enhances the overall travel experience for passengers. Moreover, by optimizing flight routes and fuel consumption through machine learning, airlines can significantly reduce their operational costs.

Airlines are under constant pressure to improve efficiency, and machine learning algorithms can help them achieve this goal. By analyzing data from flight operations, airlines can optimize fuel consumption, reduce turnaround times, and improve on-time arrivals. Additionally, airlines can use machine learning algorithms to predict delays and identify opportunities to improve operational efficiency. This can result in significant time and cost savings for airlines, making air travel more efficient for both passengers and the industry as a whole.

Personalization and Customer Experience

Increase customer experience

Machine learning algorithms are being used by airlines to understand passenger behavior and preferences. By analyzing data from past bookings and interactions with customers, airlines can predict what customers want and provide personalized services and offers. For example, airlines can use machine learning to personalize in-flight entertainment options, recommend travel destinations, and offer relevant upgrades or travel packages. As a result, airlines can improve the customer experience and build stronger relationships with their passengers.

Predictive Maintenance

By using data from sensors and other sources, machine learning algorithms can detect potential equipment failures before they happen, allowing for proactive maintenance rather than reactive repairs. This predictive maintenance approach not only reduces the risk of in-flight malfunctions but also decreases maintenance costs for airlines. By identifying potential issues early on, airlines can schedule maintenance during off-peak times, reducing the impact on flight schedules and passenger experience. This not only improves the overall safety of flights but also helps airlines save money and operate more efficiently.

In addition to improving safety, flight operations, and maintenance, machine learning is also making a significant impact in the field of air traffic control. By analyzing real-time data from multiple sources, including radar and weather systems, machine learning algorithms can help optimize air traffic flow and reduce congestion. This not only saves time and fuel but also improves safety by reducing the risk of mid-air collisions.

Reduced Costs

In recent years, there has been a noticeable surge in ticket prices, reaching unprecedented heights across the airline industry. As a solution, leveraging advanced machine learning algorithms for predictive maintenance can prove to be highly advantageous for airlines. By accurately predicting maintenance needs, airlines can significantly cut down on expensive repairs and replacements, thereby saving substantial costs.

Moreover, enhancing safety measures plays a crucial role in preventing costly accidents and delays, which can potentially result in lost revenue. By prioritizing safety and implementing effective strategies, airlines can not only safeguard their passengers but also maintain a consistent and reliable service, further boosting customer satisfaction.

Additionally, optimizing flight routes and schedules can yield significant cost-saving benefits. Through careful analysis and adjustments, airlines can minimize fuel consumption, leading to substantial savings in fuel costs. This, in turn, directly impacts the profitability of airlines, allowing for potential reductions in ticket prices for passengers.

By implementing these comprehensive measures, airlines can not only enhance their operational efficiency but also make air travel more affordable and accessible, ultimately benefiting both the industry and the passengers alike.

Fraud Prevention

Machine learning algorithms can be used by airlines to detect and prevent fraud. By analyzing booking and payment data, airlines can identify fraudulent transactions and take action before they result in any loss. Additionally, machine learning algorithms can be used to identify patterns of fraud and prevent future incidents. By using machine learning for fraud prevention, airlines can save millions of dollars and protect their reputation.

Here are a few illustrations of the machine learning initiatives being implemented by some of the leading airlines.

Delta Airlines – Delta Airlines leverages the power of machine learning algorithms to meticulously analyze vast amounts of data collected from aircraft sensors. By scrutinizing this data, they are able to continually monitor and fine-tune aircraft performance, diminish maintenance duration, and enhance fuel efficiency to a remarkable degree. Moreover, Delta Airlines employs machine learning techniques to personalize its esteemed SkyMiles rewards program, tailoring exclusive and targeted promotions to its valued customers, ensuring an unparalleled travel experience.

American Airlines– American Airlines leverages the power of machine learning algorithms to analyze vast amounts of data from various operational systems, such as flight planning and crew scheduling. By conducting such comprehensive analysis, American Airlines can uncover valuable insights and identify numerous opportunities for optimization, thereby enhancing overall operational efficiency to unprecedented levels. Moreover, through the utilization of cutting-edge machine learning techniques, American Airlines goes beyond the realm of operational data and delves into customer-centric insights. This enables them to provide personalized recommendations for travel options and upgrades, ensuring that each customer’s journey is tailored to their unique preferences and needs. With a commitment to innovation and utilizing advanced technologies, American Airlines continues to redefine the travel experience, setting new benchmarks in the industry.

United Airlines

United Airlines – United Airlines leverages advanced machine learning algorithms to thoroughly analyze a wide range of customer data, taking into account individual preferences, travel history, and even previous interactions. This comprehensive analysis enables the airline to create highly personalized offers and tailor the customer experience to unparalleled levels of satisfaction. Moreover, through the power of machine learning, United Airlines optimizes flight schedules with precision, ensuring enhanced on-time performance and delivering an even smoother travel experience for passengers. By embracing cutting-edge technological advancements, United Airlines remains at the forefront of innovation, consistently striving to exceed customer expectations and set new standards in the aviation industry.

Southwest Airlines – Utilizing advanced machine learning algorithms, Southwest Airlines leverages the power of data analysis to thoroughly examine safety data, encompassing flight data recorders and cockpit voice recorders. By conducting meticulous analysis, potential safety risks can be promptly identified, enabling proactive measures to be taken before they manifest into larger issues. Furthermore, Southwest Airlines harnesses the capabilities of machine learning to optimize fuel consumption, resulting in significant cost reductions and enhanced operational efficiency.

Virgin Atlantic – Virgin Atlantic uses machine learning algorithms to analyze data from aircraft sensors and engines. This analysis is used for predictive maintenance, identifying potential issues before they result in delays or cancellations. Additionally, Virgin Atlantic uses machine learning to personalize its customer experience, from in-flight entertainment options to tailored travel recommendations.

Emitates Airlines

Emirates Airlines – Emirates Airlines uses machine learning algorithms to analyze customer data, including booking history, preferences, and feedback. This analysis is used to improve the customer experience by offering personalized services and recommendations. Additionally, Emirates Airlines uses machine learning to optimize flight routes and schedules, reducing fuel costs and improving on-time performance.

As you can see, machine learning is playing a crucial role in the aviation industry by improving safety, efficiency, and customer experience while also saving airlines millions of dollars in costs. With continued advancements in technology and data analysis, we can expect even more advancements and improvements in the future. From optimizing flight operations to detecting fraud, machine learning is revolutionizing the way we travel and shaping the future of air travel. So next time you board a flight, remember to thank machine learning for making your journey safer, smoother, and more affordable.

In conclusion, it is evident that machine learning is revolutionizing the aviation industry. From improving safety to increasing efficiency and enhancing customer experience, the potential impact of machine learning in aviation is immense. As technology continues to advance, we can only expect to see more innovative applications of machine learning in the aviation industry, ultimately leading to a safer, more efficient, and enjoyable travel experience for all. So buckle up and get ready for a future of flying that is powered by machine learning! So, let’s continue exploring the potential impact of machine learning on other industries as well. Machine learning has already made its mark in healthcare, finance, marketing, and many other sectors. As this technology continues to evolve, we can expect to see even more industries adopting it and exploring its capabilities. With the help of machine learning, companies can make faster and more accurate decisions, optimize processes and resources, and provide better services to their customers. The future is bright for machine learning, and its potential to transform industries is limitless. So let’s keep an eye on this rapidly evolving technology and see where it takes us in the future. The possibilities are endless, and we can only imagine the exciting advancements that are yet to come.

Unleashing the Transformative Potential of Augmented Reality in Robotics

AR in Robotics
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The integration of augmented reality (AR) and robotics has brought about countless benefits and transformed many industries. This integration of AR in robotics has proven to be a game-changer since the technology is becoming increasingly prevalent in various sectors. For instance, robots can now recognize objects in a 3D environment, allowing them to manipulate objects more effectively than ever before. This means that robots can perform tasks that would have been impossible for them to do previously.

In this blog post, we will explore the powerful impact of augmented reality in robotics and how it has become the forefront of innovation. We will dive into the effects of augmented reality technology on the robotics industry, including new developments, and increased efficiency.

Increased Efficiency

Using AR, robots can identify, locate and sort objects quickly and accurately, resulting in an improvement in performance and overall productivity. For instance, AR technology used in manufacturing has enabled robots to minimize errors in assembly lines. The robots can recognize a product and its details and perform assigning tasks with precision and accuracy. This minimizes errors, and the time spent on the task and thus increasing overall productivity outcomes. Below are some examples of how AR is further shaping the field of robotics:

Augmented Reality

Robot Programming:

AR can simplify the programming of robots by overlaying intuitive graphical interfaces onto the robot’s workspace. This allows operators to teach robots tasks by physically demonstrating them, reducing the need for complex coding and making it accessible to non-programmers.

Maintenance and Troubleshooting:

When robots require maintenance or encounter issues, technicians can use AR to access digital manuals, schematics, and step-by-step repair guides overlaid on the physical robot. This speeds up troubleshooting and maintenance, reducing downtime.

Training and Simulation:

AR-based training simulators provide a safe and cost-effective way to train robot operators. Trainees can interact with virtual robots and practice tasks in a simulated environment, which helps them become proficient in operating and maintaining actual robots more quickly.

Remote Operation and Monitoring:

AR allows operators to remotely control and monitor robots from a distance. This is particularly useful in scenarios where robots are deployed in hazardous or inaccessible environments, such as deep-sea exploration or space missions.

Augmented Reality

Quality Control and Inspection:

Robots equipped with AR technology can perform high-precision inspections and quality control tasks. AR overlays real-time data and images onto the robot’s vision, helping it identify defects, measure tolerances, and make real-time adjustments to improve product quality.

Inventory Management:

In warehouses and manufacturing facilities, AR-equipped robots can efficiently manage inventory. They use AR to recognize and locate items, helping in the organization, picking, and restocking of products.

Teleoperation for Complex Tasks:

For tasks that require human judgment and dexterity, AR can assist teleoperators in controlling robots remotely. The operator can see through the robot’s cameras, receive additional information, and manipulate objects in the robot’s environment, such as defusing bombs or performing delicate surgical procedures.

Robotics Research and Development:

Researchers and engineers working on robotics projects can use AR to visualize 3D models, simulations, and data overlays during the design and development phases. This aids in testing and refining robotic algorithms and mechanics.

Robot Fleet Management:

Augmented Reality

Companies with fleets of robots can employ AR to monitor and manage the entire fleet efficiently. Real-time data and performance metrics can be displayed through AR interfaces, helping organizations optimize robot usage and maintenance schedules.

Top Companies that Utilize Augmented Reality in Robotics

AR technology is widely adopted by companies worldwide to boost sales in their robotics systems. Notable players in this arena include Northrop Grumman, General Motors, and Ford Motor Company. Within the automotive industry, reliance on robotic systems is significant, and the integration of AR technology has yielded enhanced efficiency and reduced operating costs. Moreover, experts anticipate that AR technology could slash training time by up to 50% while boosting productivity by 30%.

These are a few instances of companies that employ augmented reality (AR) in the field of robotics:

  • iRobot: iRobot, the maker of the popular Roomba vacuum cleaner robots, has incorporated AR into its mobile app. Users can use the app to visualize cleaning maps and see where their Roomba has cleaned, providing a more informative and interactive cleaning experience.
  • Universal Robots: Universal Robots, a leading manufacturer of collaborative robots (cobots), offers an AR interface that allows users to program and control their robots easily. The interface simplifies the setup process and enables users to teach the robot by simply moving it through the desired motions.
  • Vuforia (PTC): PTC’s Vuforia platform is used in various industries, including robotics. Companies like PTC provide AR tools and solutions to create interactive maintenance guides, remote support, and training applications for robotic systems.
  • KUKA: KUKA, a global supplier of industrial robots, offers the KUKA SmartPAD, which incorporates AR features. The SmartPAD provides a user-friendly interface for controlling and programming KUKA robots, making it easier for operators to work with the robots.
  • RealWear: RealWear produces AR-enabled wearable devices, such as the HMT-1 and HMT-1Z1, which are designed for hands-free industrial use. These devices are used in robotics applications for remote support, maintenance, and inspections.
  • Ubimax: Ubimax offers AR solutions for enterprise applications, including those in robotics. Their solutions provide hands-free access to critical information, making it easier for technicians to perform maintenance and repairs on robotic systems.
  • Vicarious Surgical: Vicarious Surgical is developing a surgical robot that incorporates AR technology. Surgeons wear AR headsets during procedures, allowing them to see inside the patient’s body in real-time through the robot’s camera and control the robot’s movements with precision.

Collaborative Robotics

Collaborative robots, also known as cobots, are rapidly gaining traction across various industries. By leveraging augmented reality (AR), human workers can effortlessly command and interact with cobots, leading to improved tracking and precision. This collaborative synergy brings forth a multitude of advantages, such as error identification and prompt issue resolution. Consequently, this approach streamlines and optimizes manufacturing processes, ushering in enhanced efficiency and productivity.

Examples of Augmented Reality (AR) in Collaborative Robotics

Assembly and Manufacturing Assistance:

AR can provide assembly line workers with real-time guidance and visual cues when working alongside cobots. Workers wearing AR glasses can see overlays of where components should be placed, reducing errors and increasing assembly speed.

Quality Control:

In manufacturing, AR can be used to display quality control criteria and inspection instructions directly on a worker’s AR device. Cobots can assist by presenting parts for inspection, and any defects can be highlighted in real-time, improving product quality.

Collaborative Maintenance:

During maintenance or repair tasks, AR can provide technicians with visual instructions and information about the robot’s components. Cobots can assist in holding or positioning parts while the technician follows AR-guided maintenance procedures.

Training and Skill Transfer:

AR can facilitate the training of workers in cobot operation and programming. Trainees can learn how to interact with and program cobots through interactive AR simulations and tutorials, reducing the learning curve.

Safety Enhancements:

AR can display safety information and warnings to both human workers and cobots. For example, it can highlight no-go zones for the cobot, ensuring that it avoids contact with workers, or provide real-time feedback on human-robot proximity.

Collaborative Inspection:

In industries like aerospace or automotive manufacturing, workers can use AR to inspect large components such as aircraft wings or car bodies. AR overlays can guide cobots in holding inspection tools or cameras in the correct positions for thorough examinations.

Material Handling:

AR can optimize material handling processes by showing workers and cobots the most efficient paths for transporting materials. It can also provide real-time information about inventory levels and restocking requirements.

Dynamic Task Assignment:

AR systems can dynamically assign tasks to human workers and cobots based on real-time factors like workload, proximity, and skill levels. This ensures efficient task allocation and minimizes downtime.

Collaborative Training Environments:

AR can create shared training environments where human workers and cobots can practice collaborative tasks safely. This fosters better teamwork and communication between humans and robots.

Multi-robot Collaboration:

AR can help orchestrate the collaboration of multiple cobots and human workers in complex tasks. It can provide a centralized interface for monitoring, controlling, and coordinating the actions of multiple robots.

Data Visualization

AR can display real-time data and analytics related to cobot performance, production rates, and quality metrics, allowing workers to make informed decisions and adjustments. These are just some of the ways that AR can be used to optimize collaborative robotics applications. By taking advantage of AR-enabled solutions, companies can improve efficiency in their operations and reduce downtime. With its ability to facilitate human-robot collaboration and enhance safety protocols, AR is an invaluable tool for unlocking the potential of cobots in industrial use cases.

Augmented reality (AR) technology is the cornerstone of robotics development. It seamlessly brings together various elements, resulting in an enhanced human-robot interaction. By integrating AR into robotics, efficiency is increased, and errors are eliminated. Successful examples of AR integration in robotic systems serve as proof of the substantial benefits it brings to diverse industries, including manufacturing, healthcare, automotive, and entertainment. The challenge for businesses now lies in identifying the significant opportunities that this technology offers and harnessing them for optimal benefits.

The Future of Professional Sports: Augmented Reality

Augmented Reality In Sports
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The world of professional sports has always been at the forefront of utilizing cutting-edge technologies to enhance the experience of fans and improve team performance. One of the most exciting emerging technologies in this space is augmented reality (AR), which has the potential to revolutionize the way sports are played and viewed. Augmented reality involves overlaying digital information and images onto the real world, in real-time, through a device like a smartphone or AR headset. In this blog post, we will explore the technical side of AR in professional sports, including examples of teams that are already using AR to gain a competitive edge on the field.

Player Training and Performance Analysis

AR is already being used by professional sports teams to train and analyze player performance. For example, some basketball teams are using AR technology to track the shooting accuracy of their players during practice sessions. By overlaying digital targets and data onto a real basketball court, players can see how accurate their shots are and adjust their techniques accordingly. In football, AR is being used to simulate game scenarios and support off-field training for players. Coaches can use apps like NFL Game Theory to create plays and test them out in a digital environment. This allows players to become more familiar with different scenarios and improve their decision-making skills.

Enhancing Fan Engagement and Experience

In terms of fan engagement and experience, AR has opened up exciting new possibilities for professional sports teams. Manchester City FC, for instance, launched an AR app called “CityVR” in 2019 that allowed fans to explore their Etihad Stadium in 360 degrees, access exclusive content, and engage with the team in a fresh, immersive way. Similarly, the NBA’s Golden State Warriors used AR to improve fan engagement by bringing fans closer to the team’s pre-game rituals and player interactions through an official mobile app.

Several NFL teams, like the Tampa Bay Buccaneers and Baltimore Ravens, have also harnessed the power of AR to bring team mascots or famous players into fans’ surroundings through their mobile apps. Meanwhile, FC Barcelona enabled fans to interact with live AR stats, player statistics, and take a virtual tour of the iconic Camp Nou Stadium via their “Barça Live” AR app.

The Los Angeles Dodgers took the AR experience to the next level by providing AR glasses to fans during their games, overlaying real-time player statistics and information onto their view of the field. The San Francisco 49ers have also utilized AR in player training, developing a VR/AR-based program called “VRtize” to enhance game scenario understanding and decision-making among players.

The New York Yankees used AR to create interactive experiences for fans such as virtual tours of Yankee Stadium, while Formula 1 infused the fan experience with AR, enabling access to live data, track positions, and driver information during races via their F1 AR app. Various NHL and MLB teams have similarly leveraged AR to engage fans with initiatives like the Minnesota Wild’s AR app for photos with virtual players and the Boston Red Sox’s AR-based scavenger hunt within Fenway Park.

These diverse examples demonstrate how professional sports teams are leveraging augmented reality to connect with fans, enhance player performance, and create unique, interactive experiences both inside and outside the stadium. As AR technology continues to evolve, it is slated to play a significant role in shaping the future of sports entertainment.

Virtual Advertising

AR also provides a new way for teams to monetize their advertising real estate. Virtual advertising involves overlaying digital advertisements onto the real-world environment. This has the potential to revolutionize the way teams approach sponsorship deals, as they can now sell virtual ad space rather than relying solely on traditional advertising methods. For example, during an NFL game, virtual advertisements could be overlaid onto the field, visible to TV viewers but not to fans in the stadium.

AR-Enhanced Stadiums

Looking to the future, we can expect to see more stadiums and arenas incorporate AR technology directly into their architecture. For example, the forthcoming home stadium for the Golden State Warriors will include AR screens in its luxury suites, giving fans a more immersive experience during games. The Australian National Rugby League is also preparing to rollout AR technology in its stadiums, with the goal of enhancing the viewing experience for fans.

Challenges and Limitations

While AR has the potential to revolutionize professional sports, there are still challenges and limitations that must be overcome. One of the biggest issues is the cost and complexity of implementing AR technology. It requires significant investment in both hardware and software, as well as the expertise to develop and maintain AR applications. There are also concerns around data privacy and security, as AR applications often collect sensitive personal information.

In conclusion, augmented reality has the potential to significantly impact the world of professional sports, providing players with new training and analysis tools, fans with a more immersive viewing experience, and teams with new sources of revenue. However, there are still challenges and limitations that need to be overcome before AR becomes mainstream in this space. The good news is that we are already seeing some examples of teams successfully implementing AR, and as the technology becomes more advanced and accessible, we can expect to see even more exciting applications emerging. As always, staying ahead of the curve and embracing new technologies will be critical for maintaining a competitive edge in professional sports.

How Augmented Reality is Revolutionizing Engineering

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Technology has always played an important role in the field of engineering, and the advancements in augmented reality (AR) is no exception. AR enables engineers to visualize and analyze complex designs or models with incredible detail and precision, facilitating their work, and resulting in significant improvements in efficiency, accuracy, and productivity. In this blog post, we will explore how AR is revolutionizing the field of engineering and how it is improving the work of engineering professionals.

SIMPLIFYING COMPLEX MODELS

AR helps engineers simplify complex models by superimposing a digital overlay onto the physical world. By doing this, engineers can analyze models in their actual size and scale, making it easier to understand and manipulate for design modifications. AR can aid engineers to identify design flaws much more rapidly with fewer errors.

ENHANCING COLLABORATION

With AR, engineering teams can collaborate more effectively, regardless of their location, utilizing a shared AR model. Multiple team members can view and interact with the same model, which provides better insights and leads to better resolutions.

IMPROVING PRECISION

AR enables engineers to identify and mitigate potential errors before production or assembly. AR headsets can overlay digital design elements in real-time to pinpoint precise positions of mechanical components. As a result, engineering firms can reduce their manufacturing time while increasing the quality of their output.

BOOSTING EFFICIENCY

AR helps reduce the time needed for design reviews by allowing engineers to identify optimization opportunities more rapidly. Furthermore, AR can simplify assembly procedures by providing detailed step-by-step guidance through the assembly process, leading to quicker and more accurate builds.

COST REDUCTION

Increased efficiency, improved collaboration, and reduced errors lead to significant cost savings. Applying AR technology to the engineering process is providing substantial cost savings across the industry.

REAL-WORLD EXAMPLES OF AR IN ENGINEERING

AR is not a futuristic concept; it is already being utilized by several leading engineering companies worldwide:

  • Boeing: Boeing employs AR glasses for its technicians to aid in assembling complex aircraft. The glasses display instructions and diagrams directly in the technician’s field of view, boosting accuracy and efficiency.
  • Volkswagen: Volkswagen has implemented AR technology to assist its assembly line workers. AR headsets provide step-by-step instructions and can highlight specific components and tools needed during the assembly process.
  • Siemens: Siemens provides an AR-based maintenance solution for its industrial customers through their “Siemens Industrial Augmented Reality” platform. This technology assists field service technicians in diagnosing and repairing machinery by offering real-time data and guidance.
  • Lockheed Martin: Lockheed Martin, a global aerospace and defense company, uses AR to improve the assembly of satellite components. Technicians wearing AR glasses can access digital assembly instructions, reducing errors and accelerating the assembly process.
  • Porsche: Porsche employs AR glasses to assist service technicians at their dealerships. These glasses furnish service manuals, schematics, and technical information, allowing technicians to work hands-free.
  • Jaguar Land Rover: Jaguar Land Rover utilizes AR in the design and prototyping of vehicles. Engineers can view and manipulate 3D models in a real-world context, easing the evaluation of designs and collaboration on alterations.
  • General Electric (GE): GE utilizes AR for equipment maintenance and repair. Technicians can use AR apps on tablets or smart glasses to access digital twins of industrial machines, aiding in diagnostics and maintenance procedures.
  • Caterpillar: Caterpillar employs AR technology for training technicians and service personnel. It offers an interactive training module via the “Cat® AR” app for the maintenance and repair of heavy machinery.
  • BMW: BMW leverages AR glasses in its production process. These glasses assist workers in assembling and verifying the correct installation of complex components, such as wiring harnesses, by displaying visual instructions and highlighting potential issues.
  • Procter & Gamble: This multinational consumer goods corporation uses AR for quality control in its manufacturing processes. It deploys AR systems capable of scanning products for defects, providing real-time feedback to workers.
  • ABB: ABB, a global leader in robotics and automation technology, integrates AR into its service and support offerings. AR glasses enable remote experts to aid on-site technicians during maintenance and troubleshooting tasks.
  • DHL Supply Chain: DHL has implemented AR smart glasses in its warehouses to improve order picking and inventory management. Warehouse workers receive real-time picking instructions and can scan barcodes with the glasses for accuracy.

As highlighted above, AR is being applied in various ways across the manufacturing industry to enhance productivity, reduce errors, improve training, and streamline operations. AR continues to play a crucial role in transforming manufacturing processes and boosting overall efficiency.

TOP AR TOOLS THAT ARE MAKING WAVES IN THE ENGINEERING WORLD:

The choice of software depends on the specific needs and goals of the engineering project. Here are a few examples:

  1. AutoCAD AR: AutoCAD, a renowned software for 2D and 3D design, now boasts AR functionality. This allows engineers to visualize their CAD designs in real-world settings, thereby simplifying assessments of how a design will fit into a physical space.
  2. Trimble Connect: This collaboration platform offers AR capabilities, enabling engineers and construction professionals to overlay 3D models onto real-world job sites, which enhances project planning and management.
  3. Microsoft HoloLens and Microsoft Mixed Reality: Microsoft’s HoloLens and Mixed Reality platforms provide AR tools for engineers. They allow for viewing and interacting with 3D models, schematics, and data in a mixed reality environment.
  4. PTC Vuforia: PTC’s Vuforia platform offers AR solutions for industrial applications. It allows engineers to create interactive and immersive AR experiences for tasks like maintenance and training.
  5. Magic Leap: This company provides spatial computing technology for various applications, including engineering. Engineers can use Magic Leap’s AR headset to interact with 3D models and data in a spatial context.
  6. EON Reality: EON Reality provides AR and VR solutions for engineering training and education, allowing for the creation of immersive training simulations for various industrial processes.
  7. SolidWorks XR: SolidWorks, a popular 3D CAD software, offers an extended reality (XR) feature that enables engineers to view and interact with their 3D designs in augmented and virtual reality environments.
  8. Scope AR WorkLink: This platform provides AR solutions for industrial maintenance and repair. It allows engineers to access step-by-step AR instructions while performing complex maintenance tasks.
  9. TeamViewer Frontline: This platform, designed for frontline workers, including engineers, offers various AR applications for tasks such as assembly, quality control, and remote assistance. It also allows them to access hands-free information and guidance through smart glasses.
  10. Fologram: Tailored for architecture, construction, and engineering, Fologram allows engineers to view complex 3D models on job sites and collaborate with colleagues in real time.

These AR software solutions are transforming the way engineers work by enhancing collaboration, improving training and maintenance processes, and providing new ways to visualize and interact with complex data and designs.

TAKEAWAYS

It’s clear that augmented reality has emerged as a powerful tool for the engineering industry. It can simplify tasks, enhance collaboration, improve accuracy, save time and money, and positively impact product quality. By using AR, engineering firms can now optimize their delivery times while simultaneously improving product performance and quality. Engineering professionals that leverage this technology can expect to see significant benefits in their work, ultimately resulting in increased productivity and innovation. It’s no surprise that the engineering industry is now adopting this incredible technology at an ever rapid rate. Augmented reality is more than a trend; it’s a game-changing technology that is here to stay.

In our next blog, we will explore how augmented reality is beneficial to robotics development.

What Are the Real Differences?: Spotify and Apple Music Compared

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Portable music has evolved over the last four decades, from the invention of the Walkman in 1979 to the discontinuation of Apple’s iPod in 2022, as smartphones are now the preferred choice of listening to music. If you’ve ever put on a pair of headphones to listen to music on-the-go, or connected your phone to your car, it’s likely that you’re opening your favorite music streaming app on your phone and pressing “play”. The two main players in this space are Spotify and Apple Music. But what are the differences?

DIFFERENCES IN STREAMING

Spotify currently offers over 82 million songs while Apple Music offers over 100 million songs. Both services provide songs in any genre, from almost any country imaginable. Depending on one’s plan, songs can be saved to their music libraries and accessed both online and offline. Users can also create their own custom playlists. Spotify has an edge and allows the option to create collaborative playlists between its users, who are primarily younger adults.

Spotify tracks the types of music their users listen to and create personalized playlists based on their listenings. Earlier this year they released the DJ, a personalized AI guide that knows their users music tastes and chooses what to play. Similar to Spotify, Apple Music’s algorithm curates songs based on users’ listening habits. Apple Music also allows users to ask Siri to put on a song, genre, or artist of their choice which adds a layer of convenience.

For that time when you have a song stuck in your head, but can’t remember its name, both services allow users to search for a song based on lyrics alone. They also both display a song’s lyrics while playing.

DIFFERENCES FOR PODCASTS

Maybe you’re about to put on the highly-anticipated new episode of your favorite podcast– here are the differences?

Conveniently, Spotify hosts all of its podcasts within the same app as its music. Users can preview an episode of the podcast by accessing the “Podcasts and Shows” section of its app. Here, a user’s favorite podcasts (and new episodes of the podcast) will appear first, followed by algorithm-based recommendations. It’s easy to search for a podcast or show in the search bar, as well.

While Apple shares similar features to Spotify, it separates podcasts from Apple Music within a separate app – Apple Podcasts. This is something to take into consideration if you prefer having one central app for your listening needs.

DIFFERENCES IN SOUND QUALITY

Both Spotify and Apple Music stream in high quality, but Apple Music offers the option (at no extra cost) to listen to its entire inventory in lossless audio compression. The majority of audio compression techniques lose some data from the original source file. Lossless compression preserves all of the data. Spotify does not offer its entire catalog in lossless audio.

Apple Music offers listening in Dolby Atmos which creates a three-dimensional audio experience through compatible stereo headphones and speakers. Select tracks and albums are identified by the Dolby Atmos badge (two semi-circles facing one another).

Spotify has a graphic equalizer (EQ) setting that allows users to customize their sound by changing bass effects. Apple Music has an equalizer as well and can be accessed through your device’s (Settings > Music > Audio > EQ). Currently, there is no equalizer in Apple Music for Android.

HOW MUCH DOES IT COST?

Cost is a factor that can’t be ignored. On July 24, 2023, Spotify announced that it would be increasing its subscription pricing for the first time since 2011. Its Premium prices, which started at $9.99, are now the same as Apple Music’s (aside from a couple of differing plan options).

Spotify Pricing (as of July 24, 2023):

  • Premium Individual – $10.99/month (previously $9.99/month)
  • Premium Duo (allows for two users under one plan, designed with couples in mind)- $14.99/month
  • Premium Family (allows for up to six users, residing at the same address, under one account) – $16.99/month
  • Premium Student – $5.99/month

Apple Music Pricing

  • Voice – $4.99/month
  • Individual – $10.99/month
  • Family (allows for up to six users, in the same region, under one account) – $16.99/month
  • Student – $5.99/month

What about free options? Spotify offers a free service with ads and a limited number of skips for songs. Apple Music does not offer a free service, but does offer free trials to its plans. Its lowest plan is Voice, which has limitations such as the ability to download songs to your library for offline listening.

HOW MANY WAYS CAN YOU LISTEN?

Apple Music and Spotify are found in the iOS and Android app stores. However, currently Spotify is available on more platforms than Apple Music. Spotify users can currently be accessed through Mac OS, Windows, iOS, Android, tablets, and TVs. A number of car companies have a builtin Spotify feature, like Jaguar Land Rover, Volvo, BMW, MINI, TESLA, and GMC. Spotify is also accessible through Apple CarPlay.

Spotify has seamless cross-device playing, allowing users to play music in “Multi Mode” from the app when connected to a speaker or other audio system through WiFi. “Multi Mode” connects multiple speakers to play synchronized music simultaneously.

Apple Music is currently available on iTunes, iOS, Android, and Apple CarPlay. The ability to cross-play from any device exists for Apple Music as well, as long as the devices are all under the same Apple ID.

Both Spotify and Apple Music offer desktop listening. Spotify’s streaming service was available on desktop before its mobile app was created. It’s available for Windows and Mac. Recently, in June 2023, Spotify made some key changes to its desktop version to improve user experience. Notably, “Your Library” is on the left-hand side of the app and makes it easier to find and switch between playlists. “Now Playing” is on the right-hand side. Also in this panel are artist info (depending on the song), possible tour dates and merch links, as well as the current queue. Both of these panels are adjustable by size.

Apple Music’s desktop app features its “Listen Now”, “Browse”, “Radio”, “Library”, and “Playlists” options in its side bar, which can be adjusted to become more compact in size. Apple Music also has a mini player option. Another convenient feature of Apple Music is that it houses songs previously saved in an iCloud Music Library in the app library. Apple Music is available and fully supported for Mac, but its Windows desktop app is a “preview” or native app. Apple Music for Windows does not have all of the features as Apple Music for Mac. Some Windows users have also reported that the search feature is slower in the native app than the supported app or online version.

SOCIAL MEDIA

Anyone that opens their Instagram, Facebook, or Twitter near the end of each year, will likely see different Wrapped playlists all over their friends’ stories or posts. Spotify holds a larger social media presence than Apple Music. Spotify has 10.2M Instagram followers, 12M Twitter followers, and 23M Facebook Likes. Spotify is consistently posting across its platforms for new song releases, artist updates, top track lists, artist interviews, and memes. Its social media pages primarily target Gen Z and Millenials.

Apple Music has 4.6M Instagram followers, 10.2M Twitter followers, and 3.9M Facebook Likes. Its Instagram and Facebook numbers are significantly lower than Spotify’s. Apple Music also posts frequently and shares artist interviews, new song releases, and exclusive content. Its pages target a wider audience. The posts aren’t geared towards just young adults but older adults, as well.

TAKEAWAYS

Both services share similarities when it comes to the music selection offered, though Apple Music hosts about 20 million more songs than Spotify. Both allow for saving songs to libraries, creating playlists, searching for songs by lyrics, and lyric display per song. Spotify, available through more platforms, has an equalizer, has podcasts within the app and an ad-based free option. Apple Music hosts podcasts separately but has lossless compression and Dolby Atmos options for its sound. Apple Music has an equalizer for iOS and Mac devices only.

Spotify has a desktop app that is designed for both Windows and Mac and improves the app for user functionality. Apple Music’s desktop app is not fully compatible with Windows and is in its native phase, which has caused some users to complain. Spotify also has a greater social media presence than Apple Music, as its target audience is young adults.

When it comes down to picking your streaming platform, it may be because you prefer one type of device over the other, you favor a certain type of sound quality, or a specific functionality feature sticks out to you. All in all both platforms are great and will certainly be increasing their libraries and functionalities as time moves on.

Ransomware Is Becoming More Sophisticated–And It’s Costing Companies Millions

Cybersecurity, , , , , , , ,

Is your company prepared to shell out millions of dollars to combat a cyberattack? It’s not just the major players who are getting hacked. Cybercriminals have expanded their arsenal and protection is becoming harder and harder to achieve.

Ransomware attacks rose by 150% in 2021, and that trend will continue in the last quarter of 2022 and into 2023.

High-profile victims like Colonial Pipeline and Solar Winds have had to remit millions in ransom payments to cybercriminal groups like DarkSide and BlackMatter. These cybercriminals are reinvesting their gains, resulting in bigger budgets for their future attacks.

With malware evolving, it’s more vital than ever that organizations stay up to date on the latest cybersecurity threats. Who are the top perpetrators and what can you do to ensure your safety? We will be delving into the current state of cybersecurity in a two-part series on the top trends in ransomware and how to protect your organization from cyber threats.

Check out our rundown below on the rise of ransomware in 2022.

THE EVOLUTION OF RANSOMWARE

Ransomware is typically defined as a threat actor using malware to encrypt files on a victim’s computer and only decrypting them in exchange for a sum of money. Their techniques have evolved over the years.

For example, double extortion techniques have become the norm, in which the hacker both encrypts data to prevent users from accessing it and steals the data with the intent to release it if the victim does not pay up. Hackers can threaten to leak industry secrets, intellectual property, or corporate dirty laundry if their targets do not pay the ransom.

HOW MALWARE EVADES CYBERSECURITY SOFTWARE 

Speed is key. If protection software catches malware early on, it can mitigate the damage. One of the ways in which ransomware actors can accelerate their programs is by employing a partial encryption scheme. These schemes only encrypt part of the file rather than the whole thing. This shortens the attack duration while achieving the same effect of encrypting sensitive information. Protection software often can’t keep up and detect the malware in time to save files from becoming inaccessible.

Ransomware actors will compete to get the best criminal hacker talent. They also try to find corporate insiders who will give them access to the inside of major organizations. For example, Lockbit 2.0 set the message below to a user’s wallpaper, offering millions of dollars to give access to insider information:

BLACKMATTER RANSOMWARE

On Friday May 7th, 2021, Colonial Pipeline was hit with a ransomware attack by DarkSide, a Ransomware-as-a-Service (RaaS) organization. The attack was highly successful in disrupting the major US fuel pipeline’s operations. Consequentially, DarkSide shut down as its servers were seized and its cryptocurrency wallets drained.

In the wake of that event, BlackMatter emerged, claiming to fill the void left by what was one of the elite ransomware organizations. BlackMatter adopted the best tools and techniques from a mix of LockBit, DarkSide and REvil. BlackMatter immediately sets a wallpaper that’s very similar to DarkSide’s which informs the user that all their files are encrypted (see below).

Analysis shows that the code to BlackMatter is similar, but not identical to DarkSide. HC3 claims the group is Russian speaking and likely Eastern European. Its targeted countries include the US, India, Brazil, Chile and Thailand. Cybersecurity firm Sophos Labs included a detailed breakdown of the various similarities between BlackMatter and its predecessors in the table below:

IS YOUR ORGANIZATION VULNERABLE?

Cybercrime is at an all-time high. Is your organization vulnerable? Furthermore, how can you protect your company?

A report by SonicWall found that out of the top 10 countries for ransomware volume, the US had nearly four times as many attacks as the other nine countries put together.

The security firm Kela discovered that cybercriminals use analytics to identify the ideal US victim. They are specifically hunting for companies with over $100 million in revenue that are using private networks, remote desktop protocols or tools from Citrix, VMware, Cisco, Palo Alto Networks, and Fortinet. The most targeted industry in 2021 has been government—government organizations saw 10 times more attacks than average in mid-2021.

It was previously thought that these hackers were inclined to shy away from organizations in education, healthcare, or the non-profit sector because they don’t have the budget to pay or can cause a backlash against the hacking group. However, hackers recently targeted LA School District, exposing more than 400,000 students, faculty and staff. With unscrupulous attacks like this on the rise, it appears no one is safe.

HOW CAN YOU PROTECT YOUR COMPANY?

In our next blog, we will explore the best cybersecurity practices you can implement to protect your company from hackers.

How Brain Computer Interfaces Will Change the Way We Interact with Our Devices

Healthcare, , , , , , , , , , ,

Imagine opening an app on your phone and setting exactly how long you’d like to sleep, how much REM you need, and your exact wake up time. Your settings are then executed flawlessly, giving you exactly the sleep you need without the hassle of counting sheep.

It sounds like science fiction, but it’s far from it. Major entrepreneurs like Gabe Newell believe it will be one of the early applications when Brain Computer Interfaces (BCIs) become mainstream.

BCIs are a burgeoning new healthcare technology with massive potential. Companies like Elon Musk’s Neuralink, Gabe Newell’s Valve, and Synchron are making major headway in the field, which is inching toward mass market.

HOW DOES IT WORK?

BCIs essentially use software to decipher the chemical and electrical signals coming out of people’s brains and translate them into clicks or keystrokes on a computer or mobile device or even movement on a prosthetic arm.

Hans Berger discovered electrical activity in the human brain in 1924. This paved the way for Jacques Vidal to coin the term Brain Computer Interface in his 1973 paper “Toward Direct Brain-Computer Communications”. BCIs were first tested on monkeys in the 1970s while the first endeavors on human beings were performed in the 1990s.

The main thrust of today’s BCI research is dedicated toward building solutions which will help paralyzed people control assistive devices. Beyond healthcare, there are endless potential applications for BCIs. For example, BCIs could create significantly more immersive gaming experiences in which the gamer’s thoughts move the on-screen avatar.

HR companies could use BCIs to improve employee performance by sending an alert when they sense an employee’s attention levels are down or preventing them from operating heavy machinery when they are drowsy.

The medical community has a vested interest in seeing this technology develop. It could change the lives of generations of disabled people in the near future. As BCI start-up Paradromics put it: “The potential for BCI technology is only as impactful as how well it serves the immediate needs of patients with motor & communication impairments.”

INVASIVE BCI VS. NON-INVASIVE BCI

There are essentially two types of BCIs: invasive and non-invasive.

Invasive BCIs involve a surgical implant of the device into the skull of the user. In ECOG (electrocorticography), an electrode plate is placed directly on the brain’s surface to measure its electrical activity. A second technique known as intracortical microelectrodes involves an implant that has two applications—stimulating and recording. Applications for stimulating incorporate sensory prosthetics—such as cochlear implants which provide the sensation of sound for the deaf.

Surgeries that require doctors to open up a patient’s skull are dicey to say the least. Non-invasive BCIs avoid this altogether. They can work using a variety of non-invasive technologies to measure brain activity, including EEG (electroencephalography), ERP (Event Related Potentials), MEG (Magnetoencephalography), fMRI (Functional Magnetic Resistance Imaging) or fNIRS (Functional Near-Infrared Spectroscopy).

ELON MUSK AND NEURALINK

Elon Musk founded Neuralink in 2016. Their goal was to create a device that would translate a person’s thoughts into actions. They have implanted chips into animals and notably released a video of a macaque monkey playing video games with its mind.

Although Neuralink is one of the major players of BCIs, they have lagged behind other companies in the field. Neuralink has yet to implant a BCI in humans. Their devices require highly invasive head implants which have drawn complaints from animal rights activists.

GABE NEWELL AND VALVE

Another notable player in BCIs today is Gabe Newell, founder of the gaming company Valve. Valve’s goal is to use OpenBCI headsets to develop an open-source software platform that would make it easier for developers to understand the signals coming from people’s brains.

It could enable software to understand whether a player is enjoying a game and adjust the experience accordingly. He envisions a world where games can adjust their difficulty level depending on how the player is reacting mentally.

SYNCHRON TAKES THE CAKE

Synchron’s stentrode device is currently in the forefront of the market. Synchron beat Neuralink to the punch by securing FDA approval to implant its first device into a US patient. Synchron has an advantage because the stentrode can be inserted into the brain without cutting through a skull or damaging tissue. It’s a major innovation since it can be implanted safely minimizing risk for cerebral damage.

The stentrode is about the size of a AAA battery and can be planted endovascularly rather than through the brain. In fact, it’s so seamless, patients could be sent home the same day. Synchron has already implanted stentrodes into the brains of four patients in Australia suffering from neurodegenerative diseases. All of their patients have had no side-effects and have been able to send messages through WhatsApp as well as make online purchases using the device.

The stentrode is placed close enough to the brain to detect neural signals. Those signals, which could be a thought to move a body part or a cursor on a computer screen, are then relayed out to a computer using Bluetooth technology. In the words of Synchron CEO and founder Dr. Tom Oxley: “People who are paralyzed can still think about moving their body. It’s the muscles that don’t work… We essentially bypass the broken body by taking the information directly out of the brain to control devices that let them live independently.”

WHAT’S NEXT?

We can’t predict how quickly BCIs will become a consumer-facing technology, nor the bevy of applications they will enable. What we do know is that this field is growing and will in all likelihood become a game-changing technology that completely redefines life for the disabled, as well as how we interact with our devices.

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How Zigbee Pro Makes Life Easier for IoT Developers

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The IoT has proliferated our everyday lives in a growing variety of ways. In 2021, there were more than 10 billion active IoT devices. That number is expected to grow past 25.4 billion by 2030. IoT solutions will generate $4-11 trillion in economic value by 2025.

Hundreds of manufacturers create IoT devices of all varieties—interoperability is necessity. In order to facilitate this, IoT developers generally adhere to a communications protocol known as Zigbee Pro.

WHAT IS ZIGBEE PRO?

 

Zigbee Pro is a low power, low data rate Wireless Personal Area Network (WPAN) protocol which streamlines device connections. The goal of the protocol is to deliver a single communications standard that simplifies the nauseating array of proprietary APIs and wireless technologies used by IoT manufacturers.

Zigbee Pro is the latest in a line of protocols. The certification process is facilitated by the Zigbee Alliance—now commonly known as the Connectivity Standards Alliance—which formed in 2002. The Connectivity Standards developed the first version of Zigbee in 2004 and gradually rolled out improved versions until the most current version in 2014.

HOW DOES IT WORK?

Zigbee is composed of a number of layers that form a protocol stack. Each layer contributes functionality to the ones below it, making it easier for developers to deploy these functions without explicitly having to write them. The layers include a radio communication layer based on the IEEE standard 802.15.4, a network layer (Zigbee Pro), the application layer known as Dotdot, and the certification layer which is compliant with the Connectivity Standards Alliance.

One of the focuses of the Zigbee standard is to deliver low-power requirements. Battery powered devices must have a 2 year battery life in order to be certified.

ZIGBEE DEVICES

Mesh networking enables Zigbee networks to operate more consistently than WiFi and Bluetooth. Each device on the network becomes a repeater, which ensures that losing one device won’t affect the other devices in the mesh.

There are three classes of Zigbee devices:

Zigbee Coordinator – The coordinator forms the root of the network tree, storing information about the network and functioning as a repository for security keys. This is generally the hub, bridge, or smart home controller—such as the app from which you control your smart home.

Zigbee Router – The router can run application functions as well as act as an intermediate router to pass data on to other devices. The router is generally a typical IoT device, such as a powered lightbulb.

Zigbee End Device – This is the simplest type of device—requiring the least power and memory to perform the most basic functions. It cannot relay data and its simplicity enables it to be asleep the majority of the time. An example of an end device would be a smart switch or a sensor that only sends a notification when a specific event occurs.

The Zigbee Pro protocol has become the gold standard for IoT developers. Many commercial IoT apps and smart home controllers function under the Zigbee Pro protocol. Examples include: Samsung SmartThings Hub, Amazon Echo, and the Philips Hue Bridge.

Web3: The Next Step in the Internet’s Evolution

Cryptocurrencies, Metaverse, Web Design, , , , , , , , , , , ,

Web3 has become an increasingly popular buzzword in tech circles. While some are fervent believers in its potential to change the internet as we know it, others are skeptical it holds the future. Still others have no clue what it is—and rightfully so. Web3 entails a set of online principles with potentially mammoth ramifications, but one of the major questions surrounding it is how will these principles take hold? Web3 could manifest in a variety of ways.

This week, we delve into how it may change the internet as we know it.

WHAT IS WEB3?

To answer this question, first we’ll explain the Web1 and Web2.

Web1 is the original version of the internet—think of it as a read-only version. In 1991, HTML and URLs allow users to navigate between static pages. After the millennium, the internet starts to become interactive. User-generated content gradually takes hold via MySpace and eventually Facebook, Twitter, and other social media platforms. This interactive version of the internet constitutes Web2, it’s a version of the internet in which users can both read and write via social media, Wikipedia, YouTube and more.

Tech conglomerates naturally turned Web2 into an era of centralization. Meta owns three of the four biggest social apps in the world. YouTube, the fourth biggest social network, is owned by Google, which accounts for around 90% of internet searches. Many question the ethics behind so much data in the hands of so few behemoths. Some have gone so far as to question whether the combination of big data and AI could diminish our capacity for free will, while other research shows that the targeted ad economy does not add much value and may in fact be a bubble.

In the face of these prescient concerns, the main thing that separates Web3 is the concept of decentralization.

DECENTRALIZED WEB

One of the main principles of Web3 is that it employs blockchain technology to decentralize data ownership and, in the words of Packy McCormick who helped popularize the term Web3, an “internet owned by the builders and users, orchestrated with tokens.”

The concept of digital decentralization gained massive traction since Satoshi Nakamoto created Bitcoin using the blockchain in 2009. Cryptocurrency has since become a household name and blockchain technology is finding adoption in a multitude of ways.

In Web3, centralized corporate platforms will be replaced with open protocols and community run networks, enabling the open infrastructure of Web1 with the user-participation of Web2. Everything is decentralized using the blockchain. Decentralization means that a distributed ledger manages financial transactions rather than a single server.

When going to a major social network like Instagram, rather than giving their data away for free, users could monetize their data and receive cryptocurrency for creating interesting posts. Users could buy stakes in up-and-coming artists to become patrons in exchange for a percentage of their royalties. Axie Infinity is a popular Web3 video game which uses NFTs and Ethereum to reward users for achieving in-game objectives. Games with real-life rewards are known as Play to Earn or “P2E” games—a major new trend in game design. It follows the overall goal of Web3—to put power in the hands of users and creators rather than major corporations.

CRYPTOCURRENCY AND NFTS

Blockchain technologies enable an economy powered by NFTs and cryptocurrency. Users can use cryptocurrencies like Ethereum to purchase NFT versions of real-life moments, memes, emojis and more. For example, NBA: Top Shot was among the first NFT projects from a major brand. Fans could purchase “moments” in NBA history, such as Jordan’s famous shot in Game 5 of the 1989 NBA playoffs first round, and trade them as if they were trading cards. It creates a community for fans using digital assets.

The digital art contained within NFTs can be copied but original ownership cannot be duplicated. It’s similar to owning an original Picasso—other people may have copies of the same art, but there is only one original.

Bored Ape Yacht Club may be the most successful NFT project—offering access to real-life parties and online spaces in exchange for purchasing their NFTs.

Another blockchain-powered phenomenon is Decentralized Autonomous Organizations or DAOs. DAOs are organizations that raise and spend money, but all decisions are voted on by members and executed using rules encoded in the blockchain. Famously, a DAO recently raised $47 million in a failed attempt to buy a copy of the constitution.

WHAT TYPE OF WEB3 WILL EMERGE?

With so much up in the air, it’s unclear what type of Web3 will emerge. Although decentralization promises to diminish the power of major corporations, these conglomerates still hold such endless resources that it’s hard to imagine them not finding a way to capitalize and maintain relevance.

Remaking the web won’t happen overnight. There are still major technical and regulatory hurdles which need to be overcome before Web3 becomes the golden standard.

Although we can’t predict how all this will shake out and affect your daily online experience, one thing is for sure—the internet is evolving.

How 5G Is Unlocking the Hidden Potential of Mobile Gaming

Android Development, Gaming & Monetization Strategies, iOS Development, , , , , , , , , , , , , ,

5G is the fastest growing mobile generation of all time. There are 236 active 5G subscriptions with 3 billion 5G subscriptions anticipated by 2025. The vastly improved speed will have a transformative impact on a number of technologies—especially mobile gaming.

The game industry generates over $175 billion in revenue. Mobile gamers constitute over 2.6 billion mobile gamers worldwide. Mobile gaming is big business and 5G stands to unlock even more hidden potential in a variety of ways.

SAY GOODBYE TO LATENCY

Imagine thousands of players simultaneously playing Call of Duty on mobile devices with no lag and professional-level speed. Mobile operators like Ericsson are pushing the 5G revolution everyday to make these scenarios a reality.

In competitive gaming, latency can make or break a game. Online gamers can easily become frustrated and churn if latency ruins their experience. With speeds up to 10Gbps, 5G delivers 10 times the speed of 4G LTE. Response times as low as 5 milliseconds will virtually eliminate lag between input and response. As 5G becomes more reliable, it will hold true even for massive online games with a large number of competitors.

In a recent survey conducted by OpenSignal on the best networks for gaming experiences, mmWave 5G led the way—ahead of private wi-fi networks.

OFFLOADING PROCESSING

For IoT developers, 5G’s ability to bolster cloud computing poses major opportunities. 5G enables simple devices and sensors to complete complex tasks by offloading major processing duties to the cloud.

Mobile gaming can similarly benefit from the raw speed of 5G. Higher bandwidth and lower response times open up the possibility of offloading key processes. Games will be able to handle more arduous rendering duties remotely, producing a higher quality stream. With the cloud carrying the workload, the quality and age of the user’s device would matter significantly less provided the user has a 5G data plan. Gamers will still be able to expect the same high-quality experiences regardless of whether they have the latest smartphone.

AR AND VR BOON

Massive increases in streaming speed and cloud processing power will enable AR and VR developers to take their projects to the next level. Expect to see bigger, more detailed and immersive virtual worlds. For AR and VR apps to realize their potential, data needs to be rendered at the moment of decision-making. Lag and latency take users out of what’s intended to be the pinnacle of immersive gaming. The speeds of 5G will trigger a momentous evolution for AR and VR gaming.

CAN MOBILE GAMING OVERTAKE CONSOLES?

Smartphones provide game developers with the broadest platform and userbase. The bolstered processing power provided by smartphones with 5G will enable mobile devices to provide graphics on par with consoles. However, before mobile gaming can dethrone console gaming in terms of popularity, there are a few roadblocks.

While some major console games are available on mobile devices, the vast majority are not. Gamers are not at the point where they expect the same games on their mobile devices. Until game developers can effectively transfer major franchises to mobile devices, console gaming will remain king.

One of the major obstacles facing mobile gaming is the controller. iOS and Android touch screens simply cannot match the precision of playing on an Xbox Series X or PS5. Gamepads like the Backbone One latch onto smart devices to enable more fluid controls, but they also take away the mobile aspect of games since they are arduous to carry. Furthermore, they require every game to map inputs to each controller’s layout. The controller poses a simple but major problem and until it’s addressed, console gaming will provide more reliable experiences.