Posts

Building the Future of 6G Mobile Networks with Causal AI

-
Image
Building the Future of 6G Mobile Networks with Causal AI Listen to this article As research efforts in Mobile Wireless Networks (MWNs) transition from 5G to 6G, one of the most promising transformations is the integration of Artificial Intelligence (AI) as a native element of these networks. Unlike in previous generations, where Machine Learning (ML) and AI could be incorporated later for specific tasks, 6G envisions AI as a core component from the outset, driving network planning, operation, and optimization. To fully realize this vision, AI systems must be both robust and explainable, ensuring trust and reliability in their applications. The Need for Robust and Explainable AI in 6G Networks The transition to AI-native networks introduces significant challenges, particularly regarding the robustness and explainability of AI systems. On one hand, robustness ensures that AI systems handle a variety of scenarios with consistent performance, even when faced with unexpected changes such a...
Post a Comment
Read more

Noise and vibration impact simulator developed for deep excavation blasting

-
Image
Noise and vibration impact simulator developed for deep excavation blasting by National Research Council of Science and Technology Using BIM and VR, the deep excavation construction noise and vibration simulator is divided into control devices, material plate, impact simulator and VR equipment. Credit: Korea Institute of Civil Engineering and Building Technology Korea Institute of Civil Engineering and Building Technology announced that it has developed the nation's first Building Information Modeling (BIM) and Virtual Reality (VR) based noise and vibration impact simulator for deep excavation blasting, aimed at expanding underground transportation infrastructure that citizens can use safely and comfortably. In major cities such as Seoul and the metropolitan area, the development of underground transportation infrastructure, including underground roads and railways (subways, GTX, etc.), is continuously increasing. Recently, large-scale transportation infrastructure construction pr...
Post a Comment
Read more

3 forecasts about time-series forecasting

-
Image
3 forecasts about time-series forecasting Pre-trained foundation models are making time-series forecasting more accessible and available, unlocking its benefits for smaller organizations with limited resources. Over the last year, we’ve seen an explosion in innovation in time-series forecasting. Along with new statistical models, transformer-based approaches have allowed for the creation of zero-shot foundation models from well-known organizations such as Google, Amazon, and Microsoft and from companies specializing in time-series forecasting such as Nixtla. The pre-trained models make time-series forecasting more accessible and available, especially to smaller organizations with limited resources. If the promises of foundation models materialize, they can revolutionize how practitioners tackle their forecasting tasks. How will this emergence of zero-shot models impact the field of time-series forecasting? Here are three forecasts in the forecasting field. Foundational models will slo...
Post a Comment
Read more

NIST Special Publication on WIM Systems Used in Law Enforcement Applications

-
Image
NIST Special Publication on WIM Systems Used in Law Enforcement Applications Credit: Adobe Stock According to the 2021 Fact Sheet: The Bipartisan Infrastructure Deal, one in five miles of U.S. highways and major roads and over 45,000 bridges are in poor condition. A major contributor to road damage stems from heavy or excess weight vehicles – or to be more precise – the heavy axle loads of these vehicles onto the road surface and/or pavement. As claimed by an article of Inside Science, this damage grows exponentially with the axle load of the vehicle. For comparison, a 40-ton commercial truck with 8 axles causes 625 times more road damage than a 2-ton passenger sedan with 2 axles. The Brooklyn-Queens Expressway (BQE) is a heavily used highway that comprises a critical link of I-278 – the sole Interstate highway in Brooklyn that connects Manhattan, Staten Island, and Queens in New York. Regionally, it is also the only freight route into the New York City (NYC) area from New Jersey to t...
Post a Comment
Read more

What Are Nanomaterials and How Are They Made?

-
Image
What Are Nanomaterials and How Are They Made? Nanomaterials have become a significant force in modern science and industry, with applications in electronics, medicine, energy, food technology, telecommunications, and space exploration.1 Their tunable chemical, physical, and mechanical properties, along with superior performance compared to their bulk counterparts, enhance their importance in technological advancements.2 Image Credit: Anucha Cheechang/Shutterstock.com What Are Nanomaterials? Nanomaterials are characterized by having at least one dimension in the 1-100 nm range and a surface-to-volume ratio exceeding 60 m2/cm3. Unlike their bulk counterparts, the physicochemical properties of nanomaterials depend on their dimensions. Consequently, they exhibit unique thermal, chemical, magnetic, electric, optical, and physical properties influenced by their chemical composition.1 Mechanically, nanomaterials can enhance alloy hardness and ceramic super-plasticity.1 Their large surface ar...
Post a Comment
Read more

IoT and Environmental Monitoring with Sensor Networks

-
Image
IoT and Environmental Monitoring with Sensor Networks  In the face of a rapidly changing global climate, the need for accurate IoT environmental monitoring has never been more critical. As global temperatures rise and weather patterns shift unpredictably – and sometimes swiftly – the consequences of climate change are becoming increasingly tangible. One only needs to look at the frequent intensity of extreme weather events in the US alone to see that we must take to predict and prevent further disasters. However, accurately monitoring the environment requires an enormous fleet of IoT devices that can correctly feed data across gargantuan systems. The Internet of Things (IoT) refers to the interconnected network of devices equipped with sensors, software, and other technologies to exchange data with other devices and systems over the Internet. In the context of environmental monitoring, IoT devices can collect a vast array of data points—from temperature and humidity to pollutant l...
Post a Comment
Read more

Advancements in AI: Transforming Precision Medicine Across Biomedicine

-
Image
Advancements in AI: Transforming Precision Medicine Across Biomedicine In recent years, the integration of ML and AI into biomedicine has become increasingly pivotal, particularly in digital health. The explosion of high-throughput technologies, such as genome-wide sequencing, extensive libraries of medical images, and large-scale drug perturbation screens, has resulted in vast and complex biomedical data. This multi-omics data offers a wealth of information that can be utilized to gain profound insights into the mechanisms of health and disease. By applying advanced ML techniques, including deep neural networks, to these data sets, researchers can perform tasks like automated disease classification, digital image recognition, and virtual drug screening with unprecedented accuracy. These advancements enhance our understanding of disease signatures and healthy baselines and pave the way for innovative treatments and personalized healthcare approaches. The collaboration between AI and s...
Post a Comment
Read more