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!
The landscape of IoT development is evolving rapidly, and staying ahead requires more than just technical know-how, it demands a strategic shift in how we approach building connected devices.
Discover how no-code/low-code platforms are transforming embedded development by enabling rapid prototyping and deployment with minimal coding. Explore tools like LabVIEW, Node-RED, and XOD that simplify IoT, automation, and industrial system design.
Teams that are looking at alternative programming languages have two options today: Ada and Rust. Both languages raise the bar in terms of safety and security
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.
The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.
Understanding What is Unsupervised Learning, the Mechanisms, Types, and Applications of Various Algorithms and Challenges it presents in Machine Learning
Not that the future of retail is offline or online, it’s both, but the key to success for physical retail in the digital age is to enhance the customer experience and maximize profits simultaneously. To do so, retailers are embracing wireless technology like never before.
As we navigate our way into an increasingly digital realm, the Internet of Things continues to revolutionize how we monitor our environments, control our surroundings and increase efficiency in everyday life. As our reliance on IoT grows, so does our need for secure communication.
Qube was designing IoT devices that needed to be deployed in remote environments and required very little maintenance. They needed a platform that offered low power, was affordable, and that could scale across the world.
In this episode, we discuss a novel new approach for increasing the field of view of autonomous systems by leveraging reflections of blindspots on reflective bodies.
Article 3 of Bringing Intelligence to the Edge Series: Balancing the critical metrics of accuracy, power consumption, latency, and memory requirements is key to unlocking the potential of Tiny Machine Learning (TinyML) in low-power microcontrollers and edge computing.
Article 1 of Bringing Intelligence to the Edge Series: With the introduction of AI, IoT devices can become more intelligent and less reliant on external systems— but not without trade-offs in performance and cost. Understanding how to make that decision is key.
Introducing the Bringing Intelligence to the Edge Series: Exploring how Artificial Intelligence is moving to embedded systems, transforming technology across various applications.
As IoT technology evolves, automation will play a more important role by, for instance, automatically stopping the watering process once the soil has received a sufficient level of moisture. Furthermore, analysis of irrigation data transmitted to Cloud computing can help ensure that watering occurs at the optimal time (for example, overnight or at cooler times during the day) to minimize evaporation losses.
Exploring the key concepts related to Unsupervised vs Supervised Learning, understanding the fundamental principles, major algorithms and their real-world applications, and practical distinctions between supervised and unsupervised learning.
While humans can tell each other what they need, it’s not quite so simple for a cat or a dog armed only with a meow or a bark. To better help owners understand their pets’ needs, technology is coming to the rescue. The wearables that have been used to keep tabs on human health and fitness are now being adapted for animals.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making