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.
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.
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.
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.
Industrial process automation is changing manufacturing by using technology to reduce the need for human involvement. From robots assembling products to smart systems managing inventory, factories are being transformed. This article will explore the successful elements behind industrial automation.
In this episode, we explore how AI technology is revolutionizing the detection and monitoring of infrastructure defects and learn how these innovative solutions are enhancing safety, improving maintenance, and preventing failures in critical infrastructure systems
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on computing devices at the periphery of a network, rather than on large cloud servers.