Unveiling the Future of Embedded AI: Object Anomaly Detection and More at Embedded World 2025
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Camera-equipped robotic systems serve as key expansion components within this industry because they improve efficiency and accuracy across multiple fields, including manufacturing, healthcare, logistics, and autonomous vehicle development.
Learn how agnostic systems like Awentia's No-Data Vision Foundation Model addresses key barriers to AI adoption such as data dependency, cost, and complexity across industries like agriculture, robotics and manufacturing.
For this article we interviewed Niwa and Omura, who are responsible for the design, development, and operation of the system, as well as Toda, who requested its development and is also a user.
9 minutes read
Generative AI has evolved to become an advanced, general-purpose technology that has reached the level of practical use, and the usage scenarios have become more familiar applications. Nowadays, the application of AI including generative AI has even expanded into the field of sports.
6 minutes read
Researchers at Stanford Engineering have developed an AI-trained model to accurately recreate the hand movements of elite-level pianists and the physical stresses they endure while playing.
4 minutes read
Struggling with safety compliance and quality control in manufacturing? Discover how Matroid’s no-code computer vision platform is transforming the industry with real-time defect detection, PPE monitoring, and predictive maintenance.
Optical sensors are the “eyes” of industrial systems, relying on robust peripherals for reliable image processing. As sensors grow more powerful, challenges like data management, mechanical stress, and thermal issues in compact designs demand innovative solutions.
Smarter use of processor speeds saves energy without compromising training speed and performance.
3 minutes read
Discover how computer vision is solving quality challenges in metal manufacturing through enhanced defect detection, proactive process monitoring, and flexible integration solutions.
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.
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
11 minutes read
Recently we launched new Edge Impulse functionality that shows just one of the powerful ways that LLMs can be utilized on the edge: using GPT-4o to train a 2,000,000x smaller model, that runs directly on device.
4 minutes read
Ding Zhao is teaming up with the City of Pittsburgh to improve road safety and eliminate traffic fatalities using AI.
3 minutes read
A team of EPFL researchers has demonstrated the feasibility of an AI-driven method for crack detection, growth and monitoring, and will soon test it on the railway section between Zermatt and Brig in Valais Canton.
2 minutes read
