Category Robots Podcast

Conveyor systems are central to most warehouse operations, and without regular maintenance, downtime can prevent a warehouse from functioning which obviously has a large financial impact.

Honesty is the best policy… most of the time. Social norms help humans understand when we need to tell the truth and when we shouldn't, to spare someone's feelings or avoid harm. But how do these norms apply to robots, which are increasingly working with humans? To understand whether humans can accept robots telling lies, scientists asked almost 500 participants to rate and justify different types of robot deception.

In creating a pair of new robots, researchers cultivated an unlikely component, one found on the forest floor: fungal mycelia. By harnessing mycelia's innate electrical signals, the researchers discovered a new way of controlling 'biohybrid' robots that can potentially react to their environment better than their purely synthetic counterparts.

In simulated life-or-death decisions, about two-thirds of people in a study allowed a robot to change their minds when it disagreed with them -- an alarming display of excessive trust in artificial intelligence, researchers said.

Researchers are designing real-time, intelligent tutors powered by AI. These systems mimic human surgical instructors in brain surgical training. Intelligent tutors help the learner acquire excellent skills by continuously assessing hand movements during simulated brain procedures and providing personalized verbal feedback.

From AI-vision systems revolutionizing inventory management to advanced depalletization solutions streamlining logistics, we'll explore five critical considerations that can make or break your journey toward integrating robotics into warehouse operations.

A new study has found that U.K. hotels and restaurants using humanlike service robots can make solo guests feel more comfortable in engaging with these robots by providing comfortable ambient conditions—including lighting, scents and sounds—and adding local cues like British flag designs on the robot's body.

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...

The post Boeing’s Starliner Setback: Extended ISS Stay Challenges Astronauts and Commercial Spaceflight appeared first on 1redDrop.

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...

The post Borderlands 4 Confirmed for 2025: Gearbox Signals a Return to Pandora appeared first on 1redDrop.

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...

The post Apple Prepares for September Launch of iPhone 16 Series: What to Expect appeared first on 1redDrop.

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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