Category robotics

When your company starts its automation journey, you don’t need to spend big up front. It’s risky, and you still don’t know what you don’t know. So go for a project that will bring rapid ROI and get a win under your belt.

Evolution of Augmented Reality in the Past, Present and Future

Augmented Reality is an advanced technology that enables users to interact with the digital world using real-time objects.
It is a direct or indirect view of a physical, real-world environment, whose elements are augmented by computer-generated sensory inputs such as graphics, sound, video, or GPS data.

AR boosts the view of the real world using digital technologies like Videos and 3D models.

Today, in this blog, we will be discussing the history of Augmented Reality, how AR is impacting the present world and how it will be in the near future.

Evolution of Augmented Reality in the Past or History of AR:

• In 1968, when computer scientist and Harvard professor named ‘Ivan Sutherland; teamed up with his student Bob Sprowle to create ‘The Sword of Damocles’ or the first head-mounted display, we discovered the initial stages of Augmented Reality technology.
• In 1974, the next biggest development in AR was done by Myron Krueger. This project is named as ‘VideoPlace’ that combines video cameras and projection system in order to produce shadows on the screen. This setup seems to be in an interactive user environment.
• In 1990, Tom Cadell, a Boeing Researcher, has officially used the term “Augmented Reality”.
• In 1992, Louis Rosenberg, who worked in the USAF Armstrong Research Lab had created the first real operational AR system called ‘Virtual Fixtures’. A robotic system keeps data above the work environment of the workers. This system can be considered as an early version of currently doing AR systems
• In 1994, In order to use AR, the first theatrical production was created. “Dancing in Cyberspace” was created by Julie Martin and featured acrobats in and around virtual objects on stage.
• In 1999, NASA used the Hybrid Synthetic Vision System, which integrated AR technology into their X-38 space craft. AR was used to help develop navigation during flights testing.
• In 2000, a major breakthrough in AR was made when Hirokazu Kato of the NIST, Japan (Nara Institute of Science and Technology) was established and released software with the name of ‘ARToolKit’. This software helps in capturing real-world actions and integrate with the communication of virtual objects.
• In 2003, the NFL Company utilized the Skycom, which is great for aerial views of the industry to insert a virtual down marker.
• In 2009, along with Robert Downey Junior, Esquire Magazine has used AR in their print media. Readers can see AR content when using their software on the computer to scan the barcode on the magazine.
• Thankfully, in the same year, ARToolKit made AR technology accessible to all internet browsers.
• In 2013, Volkswagen used AR as their car manual. Using the MARTA application on the iPad helps customers see the vehicle’s internal performance so service mechanics can find out what they are dealing with.
• In 2014, the world largest company, Google had created a Google Glass with AR and made available to consumers. But, it wasn’t successful in the global market as developers expected. So, Google has withdrawn its Google Glasses in Dec 2015.
• In 2016, Augmented Reality became a sensation in the world as it entered the day to day life of humans through games. AR gamed named “Pokemon Go” became popular and more than 100 million people were downloaded this game via apps stores.
• The game allows users to watch Pokemon characters bounce in their hometown. The main aim of this mobile gaming application is to capture pocket monsters and use those monsters to fight with others locally, in Augmented Reality gyms.

• In 2017, IKEA launched an AR-based app with the name of IKEA Place, which completely transforms the retail industry soon. This application enables customers to see their house decoration option with IKEA furniture before buying a product.

• In 2018, again, a mobile game with the name of “Harry Potter: The Hogwarts Mystery” has become the more popular across the world. Along with entertaining people, especially kids, this app also creates a feel like Hogwarts around them, while being able to cast spells and learn from Hogwarts teachers. This app has downloaded by over 10 million people so far from Google Play Store.
• In 2019, a football club incorporated Augmented Reality into audience experience on its stadium, immersing the Manchester City tour in an occasion of its 125th birthday.  The audience would be able to interact and sit next to Manchester City manager named, ‘Pep Guardiola’ at the top bench of the press conference. In addition, the tour features 360-degree movie screen and 3D holographic content, which is designed to provide an amazing experience for fans.

Also Read: Top 10 AR and VR Applications in Business

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Evolution of Augmented Reality in the Present:

Today, Augmented Reality is at the forefront and is known as one of the most promising technologies. When someone uses the word “AR” these days, most people immediately look at their smartphone.

• Now, let’s have a look at some of the examples that are splashing into our everyday lives.If you are at your favorite music concert and would like to know it will be playing next, just point your mobile device at the exhibitor and can find real-time information on announcements, upcoming shows, and ticket discounts and offers.
• I think most of you troubled some times when reading small letters on your medicine prescription bottle label. Don’t worry! Augmented Reality has completed this changed. Now, patients can get easily get the information like dosage, expiry date, side effects, ingredients used in the medicine, etc through 3D glasses that are made of using AR.
• Are you a sports lover and watches sports with your friends? If you would like to know the athletics statics while watching game, just point your Smartphone at the coach or player and you will get sports insights and information – as same as you browse on the internet. All this is all happens with AR.
• If you want to purchase clothes by just sitting at home, and at the same time, you want to make a trail with your preferred clothes, AR helps you out! Thanks to AR technology, now you can try clothes virtually and can see on a screen whether the color suits and size fits you. If everything is fine, you can place an order.

In addition, there are plenty of social advantages to Augmented Reality technology, which I can’t mention all those in this article. You can take the Pokemon Go craze as an example. It carried thousands of people out of bed and ran around, which was great for obesity. AR also supports police catch criminals and people address issues like depression and illnesses.

Evolution of Augmented Reality in the Future:

AR and VR are the most buzzing words in the world and it is well recognized as a new, innovative and creative way for brand awareness and customer engagement. Being a techie is an amazing thing. Undoubtedly, Augmented Reality has unlimited power and potential.

According to the researchers, tablets and smart phones will not be the only platform for Augmented Reality in the future. Research into the inclusion of AR functionality in contact lenses and other wearable devices continues rapidly.

The main aim of AR is to build an intuitive and convenient involvement, so there is a perception that smartphone will be replaced, but not sure what that re-establishment will be. Even Glasses are also getting a new look as “smart glasses” are developed for the blind.

We categorize the various industries that see increased AR activity in the near future. Look at the following:

1. AR in E-Commerce  — Almost all the ecommerce companies will be integrating augmented reality into their mobile apps and websites. In the retail industry, it leads the user to smoothly “dress” applications in jackets, sunglasses, jewelry, and footwear through phone camera
2. AR in Digital Marketing — Augmented reality continues to enhance the way customers engage with business brands. Marketing AR appears in gaming applications, street signs, interactions, and packaging with some other products.
3. Educational Resources — Educational researchers are trying to find better and simple ways to use augmented reality in training situations that makes students understand well. The healthcare and military industries are striving to develop good AR training simulators.
4. AR in Geolocation  — The efficiency of mobiles/tablets that informs us about our surroundings is greatly developed over time. AR helps everything from restaurant suggestions to real-time travel consultants.

Wrapping Up

Augmented reality is impacting the current world at a rapid speed and every industry moves vertically. It will be used by everyone, including professionals and consumers, for years to come. It is becoming an important tool for educational purposes in schools/colleges across the globe.

AR certainly offers endless promises and when combined with mobile device technology, it definitely proves to be very powerful. AR allows for geo-tracking that gives users amazing experiences.

If you are looking to build an Augmented Reality-based app for your business, contact us right now.

With two decades of experience in web and mobile app development, USM Business Systems is ready to make an application that will help boost your business growth.

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In a significant setback for Boeing, the Starliner spacecraft had encountered serious technical issues, forcing astronauts Sunita Williams and Barry “Butch” Wilmore to extend their stay on the International Space Station (ISS). This delay not only impacts Boeing’s financial standing but also raises questions about the readiness of commercial vehicles for human spaceflight. Technical Issues...

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The highly anticipated Chinese action RPG, Black Myth: Wukong, has made a significant impact on the global gaming scene since its release in August 2024. Developed by Game Science and co-published by Hero Games, the game is set in the world of the classic Chinese novel Journey to the West and has garnered attention for...

The post Black Myth: Wukong’s Triumphant Launch Marred by Technical Issues, Cultural Sensitivities, and Censorship Controversy appeared first on 1redDrop.

New York, September 1, 2024 — Gearbox Software has officially confirmed that the long-awaited “Borderlands 4” will hit the shelves in 2025, marking a return to the beloved franchise that pioneered the looter-shooter genre. This announcement, made during Gamescom 2024, comes after years of speculation and anticipation among fans and industry insiders alike. A Teaser...

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https://www.deviantart.com/favorisxp/art/CoD-Black-Ops-6-Animated-Wallpaper-For-PC-1066093398

The post Activision’s High-Stakes Gamble: Anticipation for “Call of Duty: Black Ops 6” Grows Amid Franchise’s Recent StrugglesBlackOps6 appeared first on 1redDrop.

Apple is set to introduce its iPhone 16 series on September 9, 2024, maintaining its tradition of early September unveilings. The event is highly anticipated, particularly due to the substantial upgrades expected in the new models, especially the Pro variants. Following the event, pre-orders are expected to begin the same week, with the devices likely...

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How AI Advances Patient Recruitment in Clinical Trails

Patient recruitment plays a major role in the timelines and success of a clinical trial. But the traditional recruiting process has been nothing less than a mammoth task. Besides being time-consuming and costly, a lot of effort is needed to find the right candidates and of course, chances of dropouts will also be high.

Artificial Intelligence (AI) for patient recruitment in clinical trials has proven to be a game-changing solution. AI uses pattern recognition and medical record analysis to find eligible participants for clinical trials.

Want to know more about how AI technology advances patient recruitment in clinical trials? This article explores the role of AI in streamlining recruitment, real-time use cases, and challenges in AI implementation for clinical trials.

Challenges of Patient Recruitment in Clinical Trials

Patients who participate in medical research are the most important assets for a clinical trial. If this process gets extended or delayed, it can impact the timeline of the trial, and sometimes even the trial can be terminated prematurely.

During the process of recruitment, finding patients who meet the strict eligibility criteria is one of the primary challenges. The task gets even more complicated with a huge amount of data to analyze. During this labor-intensive process, there is a high risk of human error as well.

Even if suitable candidates are enrolled for the clinical trial, managing them throughout the trial process is another challenge. Due to several factors like lack of engagement, insufficient support, and inconvenient study protocols, patients might drop out in the middle of research work.

Apart from these challenges, the traditional recruitment process also suffers from limited reach and inefficiency. Depending on referrals, local advertising, and outreach programs may not be helpful in gathering a large pool of participants.

These challenges highlight the need for more effective recruitment solutions to ensure the success of clinical trials. 

Role of AI in Streamlining Patient Recruitment

Artificial intelligence has helped to transform and redefine several aspects of healthcare, including patient recruitment for clinical trials. Using NLP, data analysis, and machine learning, AI addresses the challenges often faced with the traditional recruitment process. Let us explore how AI manages to address them efficiently.

Patient Identification and Matching

This is the most significant advantage of using AI in clinical trials. Traditional methods heavily rely on manual processes and broad criteria, often leading to mismatches or missed opportunities. But AI uses machine learning algorithms to easily analyze large datasets to identify eligible candidates.

AI algorithms can identify subtle patterns and correlations that human recruiters can miss. For example, AI can examine electronic health records (EHRs), medical histories, and other relevant data to find out who is eligible for the clinical trial. Since this is an automated process, eligible participants can be identified with less effort and time. This high level of accuracy not only speeds up the recruitment process but also ensures the overall quality of the participant pool.

Furthermore, the ability to analyze data in real-time helps AI monitor and stay up-to-date with patient information. For example, if the initial recruitment process has not resulted in the expected yield of candidates, then AI can either identify alternative options or adjust the criteria to broaden the search without compromising the trial’s integrity.

Avoiding human error is another crucial benefit of using AI in patient recruitment. The manual process of patient identification and matching is prone to mistakes, leading to inefficiency. But with AI’s automated system, there is less chance of errors. So, the recruitment process stays efficient and reliable.

Patient Engagement and Retention

Another crucial factor in ensuring the success of a clinical trial is patient retention. Previously, in traditional methods, the changes in dropouts and patients’ lack of motivation were high. These factors often contribute to trial extension and determine the validity of a study.

AI’s innovative solutions track patient engagement through personalized communication and support strategies. AI platforms can create customized communication plans for every participant to ensure they receive timely information throughout the trail. They use machine learning algorithms.

AI chatbots and virtual assistants are quite helpful in these situations, as these tools provide 24/7 support to patients. They are available 24/7 to answer questions, guide participants, and address concerns throughout the trial. This process builds trust and motivation among the participants to feel valued and connected to the trial.

Using predictive analysis, AI can analyze patterns in patient behavior and identify any potential dropouts beforehand. This early detection allows trail coordinators to provide encouragement and support to ensure the continuity of the study.

Furthermore, AI can also optimize study protocols to improve participant convenience and satisfaction. For example, AI algorithms can suggest adjustments to data collection and visit schedules based on preferences and lifestyles. This flexibility ensures the participants adhere to trail requirements without disrupting their daily lives.

Integrating AI with Electronic Health Records (EHRs)

Electronic health records contain medical histories, treatment records, and demographic information. One of the key benefits of integrating AI with EHRs is the ability to conduct real-time analysis. AI algorithms can monitor EHRs for any updates in patient information, ensuring that recruitment efforts remain current and respond to changes in patient status.

Furthermore, AI’s integration with EHRs ensures data privacy and compliance with regulations. Advanced AI systems are designed to operate within the confines of data protection laws. These systems use encryption and secure protocols to handle sensitive patient information.

AI Application for Patient Recruitment in Clinical Trials- Real-time Examples

Several research institutions and pharmacy companies have already started using AI for their clinical trials to ensure smooth processes and remarkable results. Below, we have mentioned a couple of successful stories about using AI for patient recruitment.

Case Study 1: IBM Watson Health and Mayo Clinic

IBM Watson and Mayo Clinic have collaborated to streamline patient recruitment for their clinical trials. Using AI and machine learning algorithms, Watson Health was able to analyze EHRs and other patient data to identify eligible candidates quickly. This collaboration has significantly reduced the time required to recruit participants. And since AI was able to process vast amounts of data accurately and quickly, researchers were able to focus more on patient care and trial management than administrative tasks. 

Case Study 2: Pfizer’s BLUE-SKY Initiative

Pfizer started BLUE SKY initiative to explore artificial intelligence and other innovative technologies. By integrating AI tools with their recruitment process, Pfizer was able to improve patient identification and engagement. Through an AI-driven approach, Pfizer was able to communicate with candidates more efficiently, which led to successful studies. This initiative has demonstrated how AI could be integrated into large-scale pharmaceutical operations.

Challenges and Limitations of AI in Patient Recruitment

Although AI greatly improves patient recruitment for clinical studies, it does come with a few challenges. The main issues are data privacy and ethical issues, since AI systems need access to sensitive health data. To keep patients’ trust, compliance with data security laws is essential. There are other technical difficulties as well, like training the AI algorithms, which require huge sets of data and on-going maintenance to keep the systems stable.

Balancing human touch and AI automation is essential in clinical trials. Relying just on AI can lead to impersonal interactions, which would undermine trust. If the data that is fed to AI is unreliable or biased, then it can negatively impact the recruitment process.

Conclusion

Artificial intelligence is making a huge impact on the recruitment process for clinical trials. As AI continues to evolve, its role in clinical trials is expected to grow, paving the way for more effective and timely medical advancements. Using data analysis, pattern recognition, and personalized communication, AI provides accurate and efficient results in patient recruitment. AI-driven tools streamline identification and matching of eligible patients and improve participant retention through tailored support.

Despite these advancements, it is crucial to address the ethical, technical, and practical challenges associated with AI implementation. Furthermore, fostering a better understanding and acceptance of AI technologies will be key to their successful integration into clinical trials.

USM, the best AI development company, will help drug development companies seamlessly find patients for clinical trails, and streamline end-to-end processes.

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The days of police reports typed with one-finger by exasperated peacekeepers may soon go the way of brass knuckles.

Cops in Oklahoma City are now using an AI chatbot — linked to their body camera — to write pursuits and arrests in real-time.

Observes Oklahoma City Police Sergeant Matt Gilmore regarding the AI’s report on a recent incident: “It was a better report than I could have ever written — and it was 100% accurate.”

Other city police departments giving AI a whirl include Lafayette, Indiana and Fort Collins, Colorado, according to lead writer Sean Murphy.

In other news and analysis on AI writing:

*In-Depth Guide: The Algorithm Kings: Top 100 AI Consumer Apps: Andreessen-Horowitz has released its semi-annual report on the top apps in AI.

The ranking offers an excellent snapshot on who’s who in AI — and how they stack-up against one another.

Not surprisingly, ChatGPT tops the list, followed by Google’s Gemini, Character.ai, Liner and Quillbot.

*ChatGPT Now Clocking 200 Million Users-a-Week: ChatGPT — still the industry standard in AI writing and generative AI — is now reeling-in 200 million active users every week.

Observes writer Kevin Okemwa: “According to OpenAI, ChatGPT’s broad user base is partly attributed to Fortune 500 companies.”

Currently, 92% of the Fortune 500 use ChatGPT, according to Okemwa.

*AI Writing Pioneer Now Plays Nice With All the Cool AI Engines: Anyword — a key player in AI-powered writing for marketers — can now work with a number of AI engines, also known as Large Language Models.

Ideally, this reconfiguration means you’ll be able to use Anyword to auto-generate marketing copy with ChatGPT, Google Gemini and similar AI engines.

Anyword made the switch “with the understanding that content will be created around an organization by many people through different tools and platforms,” according to Yaniv Makover, CEO, Anyword.

*Study: AI Loves a Good Example: The next time you’re looking to prompt an AI engine like ChatGPT to do something for you, you’ll have the best luck showing it an example of what you’re looking for.

Apparently — according to a new study released from Amazon and the University of California — AI engines can achieve “near-perfect accuracy” when relying on examples to reason their way to a solution.

Such reasoning “involves observing specific instances or examples and drawing general conclusions or patterns from them,” according to writer Ben Dickson.

*New AI for Gmail: Looking to Transform Messages from Meh to Marvelous: Paying users of select Google services can now use new AI to help punch-up emails before they tap “send.”

The AI help appears with the message “refine my draft” as soon as you type 12 words or more in Gmail.

Observes writer Wes Davis: “Swipe your thumb across the text, and you’ll be given the choice to Polish, Formalize, Elaborate, or Shorten — or to have Gemini just write a whole new draft for you.”

The catch: You need to be a paying subscriber to Google One AI Premium or Google’s Gemini add-on for Workspace to get access to the new AI.

*Google’s Promised AI Customizations: Your Chatbot, Your Rules, Your Imagination: Users of Google’s Gemini chatbot — a direct competitor to ChatGPT — are being promised they’ll soon be able to create custom versions of the AI featuring distinct personalities and/or special expertise.

Observes writer Emma Roth: “For users who don’t want to create a custom chatbot right away, Google is offering some pre-made ‘Gems,’ including a learning coach, an idea brainstormer, a career guide, a coding partner and an editor.”

ChatGPT already offers users the ability to customize the chatbot — and sell those customizations if they prefer — via the maker’s online store.

*Google: Throwing Millions at California — Hoping It Sticks: Google is promising millions of dollars in its effort to derail proposed California legislation that would force it to pay for news that appears next to its advertising on Google search and similar products.

The cash would be bundled with funds from the state and other sources into a support fund for news organizations that could balloon to as much as $250 million, according to lead writer Karen Weise.

California Governor Gavin Newsom gives the move a big thumbs-up.

But a union representing journalists denounced the deal as a shakedown, according to Weise.

*Forgetful? Now AI Reminds You of Everything You Ignored in Meetings: Otter.ai is rolling-out a new “My Action Items” feature designed to track all of your action items across all of your meetings.

Essentially, whether you’re meeting on Zoom, Google Meet, Microsoft Teams or in-person, the AI assistant is promising to capture all of those action items and store them in a centralized location.

Specific features of My Action Items include:

~Consolidated Action Items: Eliminates the need to search through past meetings, providing a single, centralized view of all assigned tasks.

~Context-Rich Tasks: Offers links back to the specific moment in the conversation where each action item was created, ensuring clarity and accuracy.

~Notifications: Delivers a weekly digest email reminding users of outstanding action items, fostering accountability and completion.

*AI Big Picture: AI’s Price Wars: For Consumers, Rock-Bottom is the Place to Be: Consumers currently have the upper hand when choosing their preferred AI engine.

Makers of the AI — which undergirds most of the world’s most popular AI chatbots — are essentially giving away developer access to their AI based on hopes that there will be profit in the tech long-term, according to Aidan Gomez, CEO, Cohere.

Observes Gomez: “It’s gonna be like a zero-margin business because there’s so much price dumping. People are giving away the model (AI engine) for free.

“It’ll still be a big business, it’ll still be a pretty high number because people need this tech — it’s growing very quickly — but the margins, at least now, are gonna be very tight.”

Snickered one consumer: “I feel your pain.”

Share a Link:  Please consider sharing a link to https://RobotWritersAI.com from your blog, social media post, publication or emails. More links leading to RobotWritersAI.com helps everyone interested in AI-generated writing.

–Joe Dysart is editor of RobotWritersAI.com and a tech journalist with 20+ years experience. His work has appeared in 150+ publications, including The New York Times and the Financial Times of London.

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Children giggle as young people flash their smartphones to film robots carrying plates of freshly prepared meals on their inbuilt trays to deliver to diners in a busy eatery in Kenya's capital.

A swarm of self-coordinating drones for firefighting, as part of an effort to develop cost-effective early mitigation strategies for wildfires has been developed.

Automating food is unlike automating anything else. Food is fundamental to life—nourishing body and soul—so how it's accessed, prepared and consumed can change societies fundamentally.

Ozmo’s arrival ushers in a new era for the $40B window-cleaning industry, offering a solution to a global shortage of manual window cleaners that will create new jobs and, when fully autonomous, keep humans out of harm’s way with advanced technology.

AI in Transportation and Logistics

AI in Logistics Industry: Key Benefits and Use Cases (AI use cases in transportation)

Just imagine the world without a transport facility! If you want to travel long distances, how would you go?

And, if a leading manufacturing company has to transport goods to its customer locations, then how it will do that without transport and logistics facilities?

I think you understood the significance of the transportation industry. It’s a mandatory need for both individuals as well as businesses.

Do you believe or not the history of the initiatives across the transportation industry has exploded in 1787 when the steamboat has invented. Later in the 19th century with the invention of the bicycle, the industry moved to its next level. After that motor car era had come in the 1890s, trains in the 19th century, and finally aircraft in 1903. Manufacturing of more vehicles that meet all human transportation needs based on market demand.

This was the major reason behind the advancements in this sector using innovative technologies. Automobile or vehicle manufacturers are focusing on spreading the wings of artificial intelligence across the sector to gain from the increasing demand.

Artificial Intelligence (AI) is one of the best technology supporting the transportation industry in many ways. AI-enabled applications in transportation have transformed the transportation sector tremendously. AI Applications in Transportation are making our lives easier, safer, and more efficient.

Artificial intelligence in public transport, private transport, and personal transport has progressed in such a level that vehicles are moving without any assistance from humans. Thanks to Artificial Intelligence (AI) technology. Artificial intelligence technology in transportation is helping the industry to enhance safety, reduce unexpected accidents, reduce traffic, carbon emission, and also lower complete financial expenses.

On the businesses front, Applications of Artificial Intelligence in Transport increases productivity, automation level, and overall excels sales indicators.

USM, the best mobile app development company, has immense experience in using artificial intelligence technology to develop futuristic travel apps that make trips more effortless. In addition, being one of the best AI app development companies, we also build enterprise-level AI solutions for helping logistics firms track their fleet in real-time.
Would you like to know what we delivered to the transportation sector? Please go through one of our significant AI in transportation case study.

 

Recommend: How Automotive Industry Is Evolving With Artificial Intelligence?

 

AI technology in transport will bring huge revolutions, not only to the vehicles but also to the complete ecosystem. Let’s take some examples of AI use cases in transportation.

The Role of AI in Logistics and Supply Chain Management

Top 6 AI use cases in the transportation sector

Artificial intelligence use cases or applications in transportation let you know why the transportation business players are looking to invest in artificial intelligence technology. Here, we briefed out a few top use cases of artificial intelligence in the transportation industry. Let’s have a look at the below AI in transportation examples.

#1 AI for autonomous or self-driving vehicles

Will transportation become autonomous?

Japan has already launched its first version of autonomous vehicles in the country. Accordingly, the United States transportation & logistic industries are also holding the power of AI to spread self-driving trucks for reducing operational costs. Likewise, the global developed and developing markets are adopting AI in their transportation rapidly.
AI is playing a major role in the manufacture of self-driving vehicles. We all know that the biggest automobile manufacturers like Nissan, Toyota, Hyundai, and so many vehicle manufacturers will introduce their model of driverless vehicles.
It is just the beginning, but we can’t imagine the market with the complete expansion of AI in the development of driverless cars.

Be ready to see a drastic change in transportation using artificial intelligence!

#2 AI Applications In Transportation

Artificial Intelligence applications in transportation for managing traffic is one of the popular use case of the technology. AI for traffic management is one of the best AI applications for the traffic management system. Artificial intelligence systems predict and reduce traffic congestion and improve road safety.

The AI-powered traffic management system provides greater flexibility to driverless cars in the future. However, the integration of the IoT-enabled high-resolution cameras would also bring a big revolution in the sector.
Hence, AI, together with cloud and IoT, will completely reduce wait times at traffic signals and reduce the traffic over the roads.

#3 Reduce passenger wait times

AI mobile apps for Android and iOS are allowing users to book taxis online and ensure safe trips. Using computer vision and Data Lake techniques, transport apps are making the best data-driven decisions for reducing the waiting time of passengers who booked their service.

#4 Drone Taxis

It is one of the advantages of AI in the transportation industry. Drone taxis are one of the best innovative AI applications in transportation. Drone systems have already been expanded in delivery systems. The technology developments would also help to design and manufacture intelligent drone taxies soon. No wonder in it.

#5 Remote controlled cargo ships

It is also one of the best answers for How Will AI Impact the Transportation Industry. Along with the benefits of Artificial intelligence in public transport systems, for the past few years, cargo ships will also be controlled remotely using artificial intelligence.

Logistics departments can monitor their cargos and stay in connection all the time to track their safe arrival to destinations. It is one of the best use cases of AI in transportation. Hence, it is expected that AI will drive autonomous cargo ships to fullest in the future.

#6 AI in Trucking

The truck transport business is one of the fields where the implementation of AI is growing rapidly. Artificial intelligence and machine learning technologies are improving freight efficiencies. As the market trends are predicting that AI technology and automation are the future of the transportation industry, self-driving trucks are more crazy innovations among others. Hence, AI in transportation and logistics offers more fruitful business results to the service providers.

Future of AI In Transportation

The growth and advantages of AI in the transportation industry cannot be explainable. The practical use of A.I. in transportation will 100% ensure profitable business for organizations across the transportation sector.

AI has already had its grip on changing industrial processes and the transportation sector is also greatly impacted by AI. As we discussed, the examples of AI implementation in transport will give unbelievable results to service providers than expected. With the craze towards autonomous vehicles, increasing concern towards safety and security, and focus on reducing operational costs, the demand and adoption of AI technology in transportation are growing increasingly.

According to the market reports, it is estimated that the AI transportation market will be valued at $3.5 billion by 2023. In particular, North America (US, Mexico, and Canada) region is anticipated to contribute more to the AI in the transportation market value.

Here are a few more business advantages of AI in transportation.

Advantages Of AI In Transportation

Let’s discuss a few artificial intelligence opportunities that are delivered to the transportation sector.

How has technology changed transportation?

#1 Smart Logistics Functions

Leveraging real-time sensor data and previous data regarding traffic, weather, waiting time, stop maintenance, etc., the transportation system can navigate the routes smartly.

#2 Forecasting Vehicle Maintenance

The future of AI in transportation for forecasting vehicle maintenance would be promising. The AI systems can forecasts vehicle maintenance with the help of data collected from smart sensors. You can use telematics solutions to monitor the vehicles in real-time. AI solutions will send alerts and conditions of the vehicles so that you can save yourself from probable hazards.

#3 Track planner with traffic expectation and real-time updates

While traffic congestions are inescapable, AI can predict the traffic jams and accordingly adjust your path.

#4 Intelligent Staff Management

To advance the productivity and safety of drivers, intelligent driver behavior monitoring apps will be useful. Using data captured by the IoT sensors, you can manage your fleet through data-controlled dashboards for smart trucks, ships, and trains connectivity.

Hence, AI in the transportation industry is quite impressive. The impact of AI-enabled applications in transportation are resourceful. USM, the best #AI development company, is a leader in offering quality AI-based solutions and artificial intelligence services to customers across various industries.

Are searching for a reliable AI solutions provider or artificial intelligence Service Company, then you’re in a perfect place. Get in touch with USM!

 

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On a remote patch of the windy, frozen Beaufort Sea north of Alaska, engineers from NASA's Jet Propulsion Laboratory in Southern California huddled together, peering down a narrow hole in a thick layer of sea ice. Below them, a cylindrical robot gathered test science data in the frigid ocean, connected by a tether to the tripod that had lowered it through the borehole.