Machine Learning Tag

We live in a world of increasingly smart and interconnected devices. From power grids to industrial control systems and vehicle fleets, IIoT devices are proliferating. Recent estimates project that there will be well over 24 billion IoT devices within the

Deep Learning, which is based on the use of neural networks, can be applied to very different types of information, which call for the use of particular networks better suited to achieving specific objectives. What are Artificial Neural Networks (ANN)? The Artificial

Network operators around the world have invested heavily in spectrum, with auctions exceeding $27 billion in 2020 according to the Global Mobile Suppliers Association. They are looking to move quickly with 5G, seeking solutions to help them develop services faster

Artificial Intelligence (AI) and Machine Learning (ML), are huge contributors in these advances and have revolutionized the way that software operates and functions for the manufacturing industry. Artificial Intelligence and Machine Learning have drastically enhanced ERP software in the following

According to Gartner, 85% of Machine Learning (ML) projects fail. Worse yet, the research company predicts that this trend will continue through 2022. Does this point to some weakness in ML itself? No, it points to weaknesses in the way

The Internet of Things (IoT) is creating a new dynamic in the industrial space, specifically manufacturing. Large manufacturing companies are moving to leverage IoT technologies and predictive analytics as a part of increasing profitability and staying competitive. In the U.S. alone,

Sensor data plays a vital role in ensuring operational safety and efficiency in industrial operations. Sensors are deployed widely in industrial settings to measure parameters such as temperature, pressure,  flow, vibration and others. The data that flows from these sensors

Machine learning (ML) is becoming even more prevalent as manufacturers continue their journey towards Industry 4.0 and digitally transform their factories. It has the capacity to make production more efficient by increasing output while maintaining quality standards.  ML and industrial automation in manufacturing ML and

What happens when technology advancements threaten to automate people’s jobs? That question is on the minds of many as research and development in artificial intelligence and machine learning rapidly advances. Recently ASU received a million dollar NSF Convergence Accelerator Grant to create