LPWA is an abbreviation for Low-Power Wide-Area. It is also referred to as Low-Power Wide-Area Network (LPWAN). LPWA is wireless communication technology that features low power consumption and wide-area and long-distance communication.
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
From simple sensor control to connected, intelligent devices, embedded systems often outgrow a single MCU. Pairing an MCU with Linux adds power and flexibility, but also introduces communication challenges, dual development workflows, and increasing software complexity.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Mario Mauerer, maxon's Global Business Development Manager, Robotics, discusses what it takes for robotic deployments to be successful in complex real-world environments.
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
LPWA is an abbreviation for Low-Power Wide-Area. It is also referred to as Low-Power Wide-Area Network (LPWAN). LPWA is wireless communication technology that features low power consumption and wide-area and long-distance communication.
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
As network reliability is increasingly tested by aging power infrastructure and the complex demands of renewable energy, cellular IoT provides timely solutions.
In this episode, we talk about how a driven undergraduate student from Columbia University mapped fingerprints from different fingers of the same person - which was widely known to be impossible by the experts in the field - using publicly available data and machine learning.
MATT Framework is the core software application that was designed to allow users to calibrate, prototype, develop testing scenarios, and manually operate the MATT robot, making it as easy to interact with as possible.
Battery performance is crucial for the successful operation of IoT devices, particularly in remote or inaccessible locations. They rely on battery power to sustain their operation over extended periods, and maximizing battery life directly impacts longevity, maintenance costs, and user experience.
Condition Monitoring with LoRaWAN: A guide to its effectiveness in industrial maintenance, the transition from traditional methods, and overcoming implementation challenges
Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user’s hand.
New research from Carnegie Mellon University’s Department of Mechanical Engineering and the Human+AI Design Initiative underlines the adage “teamwork makes the dream work,” especially when it comes to human-AI collaboration.
As the IoT matures, analysts forecast that NB-IoT and LTE-M (cellular IoT) are likely to become the dominant technologies for connecting local area networks (LANs) or standalone wireless devices over kilometer distances to the Cloud.