THANK YOU FOR SUBSCRIBING
× 
Applied Technology Review Weekly Brief
Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Applied Technology Review
Nanotechnology: The Next Frontier
Applied Technology Review | Thursday, May 21, 2026
More in News
Berlin – Grandperspective GmbH, a leading provider of ground-based remote sensing monitoring systems, has set a new high bar for methane detection visibility.
The scanfeld® monitoring system, which uses hyperspectral imaging based on FTIR technology to detect methane and 400 other compounds at rates of 0.005kg/hr or less, has been certified by one of the world’s most respected standards bodies.
In February 2024, a series of controlled-released experiments, which were validated by the Engler-Bunte Institute of the German Technical and Scientific Association for Gas and Water (DVGW) at the Karlsruhe Institute of Technology (KIT), proved that Grandperspective’s remote sensor technology was able to detect methane emissions at leak rates of only 100 grams per hour over a distance of at least 250 metres in real-life conditions. Furthermore, these tests have been fully approved by a global energy corporation, as part of its own efforts to drive down methane emissions.
To ensure that the tests met the necessary standards and specifications set out by the DVGW, Grandperspective deployed three sensors. Two were fixed units from an ongoing pilot study for continuous monitoring, and one was a mobile unit. The three sensor units were deployed to detect a series of simulated methane leaks – at various points within the facility - over a fiveday period.
In total, Grandperspective’s team, who were monitored by a research engineer from the Engler-Bunte Institute, conducted over 80 assessments experimenting with different flow rates and wind speeds, across a range of distances.
The results of these third-party tests were in support of Grandperspective’s unparalleled ability to monitor down to the new EU 17g/h monitoring threshold and at the same time further strengthen the company’s pioneering work in the field of multi-compound and multi-area monitoring. They also shine a light on the vast potential of ground-based continuous monitoring systems. This is because further analysis and evaluation carried out independently of the testing cycle, while working within the same parameters, has revealed that the scanfeld® monitoring system meets the new European Union’s Leak Detection and Repair (LDAR type 1) 17 grams per hour threshold. The next phase of these tests will be to demonstrate the 17g/h threshold similarly independently validated.
Peter Maas, Grandperspective’s Managing Director and Chief Technology Officer, said, “Our goal was to externally and independently validate the methane detection capability of the scanfeld® monitoring system. Achieving the 100 grams per hour threshold from a distance of 250 metres massively exceeds the current limits of conventional monitoring technology which are typically in the order of several kilograms per hour and satellite emission detection limits being as high as 100 kilograms per hour. This is a significant moment for the industry, as by scientifically proving that it is possible to detect and quantify emissions at extremely low detection thresholds using FTIR remote sensing technology for the first time, the sector has a set of tools that can help it to considerably reduce emissions.”
To receive a copy of the report, please contact us at scanfeld@grandperspective.de. ...Read more
Integrating digital twins and generative AI revolutionizes organizations' operations, offering a partnership that enhances efficiency and innovation. These two technologies, each with its distinct value, are proving even more powerful when combined.
What Are Digital Twins and Generative AI?
Digital twins are exact virtual copies of physical assets, processes, or systems that can replicate real-life situations and enhance efficiency. They offer a safe space for experimenting with and enhancing strategies, forecasting results, and improving decision-making. Conversely, generative AI denotes algorithms capable of generating content, like text, images, and simulations, using provided data. This technology is transforming various business processes by automating tasks and generating insights.
The Synergy Between Digital Twins and Generative AI
When utilized alongside digital twins and generative AI, they establish a formidable partnership that can greatly enhance organizational capabilities. Generative AI can streamline the deployment of digital twins by structuring inputs and synthesizing outputs, making the process more efficient. Meanwhile, digital twins provide a robust environment for testing and validating the outputs generated by AI, ensuring accuracy and reliability.
Practical Applications
The practical applications of this pairing are vast. For instance, in manufacturing, digital twins can simulate production processes, while generative AI can optimize these simulations by predicting potential issues and suggesting improvements. This leads to reduced downtime, lower costs, and improved product quality. In healthcare, digital twins of patients can be used to simulate treatment plans, with generative AI providing personalized recommendations based on the latest medical research.
Benefits of Combining These Technologies
The benefits of combining digital twins and generative AI are numerous. Organizations can achieve faster deployment times, reduced costs, and enhanced value from technology investments. This combination also allows for more accurate predictions and better decision-making, ultimately improving operational efficiency and innovation.
Future Outlook
As more organizations recognize the potential of digital twins and generative AI, the adoption of these technologies is expected to grow. The future will likely see even more sophisticated applications and integrations, further enhancing their impact on various industries. Businesses can capitalize on new opportunities and create substantial value by staying ahead of these trends.
In conclusion, pairing digital twins and generative AI represents robust technological advancement. By leveraging both strengths, organizations can achieve greater efficiency, innovation, and value, paving the way for a more advanced and connected future. ...Read more
In healthcare, digital twins are computer representations of systems ranging from patients to hospitals and everything in between, including both physical items and processes. The digital counterparts include electronic health records (EHRs), disease registries, and omics data, such as proteomic, genomic, metabolomic, and bionic data, as well as demographic and lifestyle information for each individual. The introduction of new technologies powered by IoT and AI, combined with the widespread availability of multidimensional data such as behavioral, biometric, cognitive, emotional, and psychological information, has significantly increased the exploration and utility of digital twins.
When fully utilized, digital twins for healthcare may provide a breakthrough paradigm for the future management of lifestyle, health, wellness, and chronic diseases. For example, these virtual models may be constantly updated with data from wearable devices, mobile health apps, and other types of self-reported data. This would provide healthcare providers with previously unknown information, which would be useful in developing correct treatment guidelines and tailored advice.
Significant advantages of digital twin technology in healthcare are listed below:
Improved patient care: A doctor might simulate therapies for a patient using their digital twin, assisting in making key decisions before treating the patient. Such an approach aims to improve process safety while also enhancing the standard of care.
Education and augmented training: Digital twins will be an essential platform for improving the training and education of medical and nursing students and healthcare workers. They provide learners with an interactive platform to better understand complex surgical procedures and human body issues.
Predictive maintenance: Digital twins could be utilized to predict failure scenarios and perform predictive maintenance on essential medical devices in the healthcare setting. This will allow healthcare providers to continuously monitor gadget performance in order to predict any malfunctions that might occur during critical medical work operations.
Research and development: Digital twining is a significant tool in the course of medical studies. These virtual copies serve as platforms for conducting various scientific studies and delving into the complexities of genetic abnormalities. This can significantly improve healthcare approaches and medical treatment procedures, particularly for rare and severe patients.
Enhancement of medical systems: Digital twins enable healthcare organizations to identify operational inefficiencies and bottlenecks in their systems. Managers can maximize resources by conducting proactive analysis and improving patient flow and service delivery. ...Read more
FREMONT CA: With the introduction of next-generation control testing automation, which changes conventional procedures and improves operational efficiency, the industrial sector is going through a major transition. Manufacturers may ensure that products satisfy strict quality requirements while minimizing human mistake by automating testing methods through the integration of new technologies like artificial intelligence, machine learning, and the Internet of Things. This change speeds up production schedules and allows for real-time data monitoring and analysis, which offers insightful information about manufacturing procedures. This change opens the door to a more intelligent and resilient manufacturing environment that can adjust to changing consumer needs and technical breakthroughs.
Controls Testing and Automation Implementation in Manufacturing
Implementing controls testing and automation in manufacturing involves leveraging advanced technological solutions tailored to specific processes. This strategic approach aims to enhance operational efficiency, reduce human error, and ensure compliance with industry standards. Various methodologies are utilised to streamline these processes, enabling manufacturers to maintain high-quality standards and effective risk management.
Programming and Scripting
Programming and scripting are crucial in developing and automating control testing across diverse manufacturing setups. By employing these techniques, organisations can create automated processes that minimise manual intervention, increasing accuracy and efficiency. These scripts can be customised to fit specific operational needs, ensuring that control testing aligns with the unique requirements of each manufacturing environment.
Third-Party Governance, Risk, and Compliance (GRC) Applications
The adoption of third-party GRC applications has rapidly gained traction within the manufacturing sector. These applications are instrumental in managing access and control while automating processes related to Information Technology General Controls (ITGC) testing. By integrating GRC solutions, manufacturers can enhance their compliance posture and streamline the monitoring of controls, ultimately facilitating a more risk management framework.
Robotic Process Automation (RPA) and Digital Worker Development
Though less common, RPA and digital worker (bot) development offer significant potential for automating control testing in manufacturing. RPA solutions can automate repetitive tasks, improving testing procedures' efficiency and accuracy. Additionally, these automated systems provide valuable reporting and dashboard capabilities that facilitate periodic reviews, helping organisations maintain oversight and control over their manufacturing processes.
Custom Tool Development
Sometimes, organisations opt for custom tool development to meet unique requirements, mainly when dealing with bespoke enterprise resource planning (ERP) applications. Manufacturers can address specific challenges that off-the-shelf tools may need to adequately resolve by creating tailored solutions. This customisation ensures control testing and automation processes align with the organisation's operational needs and strategic goals.
Combining Techniques for Enhanced Automation
Manufacturers often employ these methodologies to achieve adequate control testing and automation. For instance, integrating RPA with third-party GRC applications can significantly enhance the automation of repetitive tasks while enabling unified reporting and control assessments. This holistic approach allows organisations to optimise their control testing processes, ensuring they are efficient and compliant with regulatory requirements.
Implementing automation control testing is essential for organisations that operate in highly regulated environments and demand rigorous quality and compliance standards. As companies seek to enhance internal controls and audits, automation control testing becomes critical to their operational strategy. ...Read more
Copyright © 2026 Applied Technology Review.All Rights Reserved
Top
