Many IoT devices are battery-powered and one of the most important operating parameters is how long those batteries last in normal service. Maximizing battery life improves the user experience, lowers maintenance costs, and reduces wastage.
Many IoT devices are battery-powered and one of the most important operating parameters is how long those batteries last in normal service. Maximizing battery life improves the user experience, lowers maintenance costs, and reduces wastage.
A team of MIT CSAIL researchers have developed a novel approach to robot training that could significantly accelerate the deployment of adaptable, intelligent machines in real-world environments.
The Internet of Things (IoT) is revolutionizing how businesses operate, connecting billions of devices for smarter, faster decisions. However, scaling IoT solutions demands more than plugging devices into a network; it requires mastering IoT connectivity architectures. Let’s unleash its potential.
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.
Many IoT devices are battery-powered and one of the most important operating parameters is how long those batteries last in normal service. Maximizing battery life improves the user experience, lowers maintenance costs, and reduces wastage.
A team of MIT CSAIL researchers have developed a novel approach to robot training that could significantly accelerate the deployment of adaptable, intelligent machines in real-world environments.
The Internet of Things (IoT) is revolutionizing how businesses operate, connecting billions of devices for smarter, faster decisions. However, scaling IoT solutions demands more than plugging devices into a network; it requires mastering IoT connectivity architectures. Let’s unleash its potential.
In this episode, we explore how AI co-pilots are equipping doctors with powerful tools to enhance decision-making and patient care and discuss how it could impact you - a potential patient - in the not distant future.
Edge AI Technology Report: Generative AI Edition Chapter 2. Generative AI and edge computing are transforming industries by enabling low-latency, real-time AI on edge devices, allowing efficient, private, and personalized applications without reliance on data centers.
Large Language Model (LLM) training involves teaching AI models to understand and generate human-like text by processing vast amounts of data, significantly enhancing their language comprehension and production capabilities.
In this blog post, we'll dive deep into cobots in manufacturing, exploring their various applications in manufacturing, their benefits, and how to seamlessly integrate them into your production line.
Thanks to a newly developed surgical robot, reconstructive surgery can be performed more safely and accurately in the future. This is also expected to lead to fewer complications and faster patient recovery.
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you’ve likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users’ queries.
The widespread adoption of robotics is hindered by the complexity of system integration, lack of skilled labor, and diverse programming languages, but FuzzyRTOS addresses these challenges by providing a universal platform that simplifies robot programming.