We are proud to announce that synthetic data generation is now available inside the Edge Impulse platform, enabling a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI models.
We are proud to announce that synthetic data generation is now available inside the Edge Impulse platform, enabling a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI models.
‘Industry 4.0’—the next stage of the Industrial Revolution—leans heavily on the Industrial Internet of Things (IIoT) to support large scale automation of traditional manufacturing practices.
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
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
We are proud to announce that synthetic data generation is now available inside the Edge Impulse platform, enabling a new and efficient way to work with LLM-generated images, audio, and voice to enhance your edge AI models.
‘Industry 4.0’—the next stage of the Industrial Revolution—leans heavily on the Industrial Internet of Things (IIoT) to support large scale automation of traditional manufacturing practices.
For robots, simulation is a great teacher for learning long-horizon (multi-step) tasks — especially compared to how long it takes to collect real-world training data.
EPFL professor’s passion for sustainable flying and expertise in machine learning and computer vision drives innovation in green aviation design and beyond.
MIT CSAIL researchers developed an AI-driven approach to “low-discrepancy sampling,” a method that improves simulation accuracy by distributing data points more uniformly across space.
In this episode, we explore an innovative and sustainable wearable device designed by researchers at the Karlsruhe Institute of Technology to improve posture and we discuss why AI isn’t just a novelty in this product but a core feature that sets it apart from the rest!
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.
Edge AI is the process of running artificial intelligence (AI) and machine learning (ML) algorithms on devices at the network’s edge (periphery), rather than on large cloud servers. In simple terms, edge AI is the fusion of devices and artificial intelligence.
The term "smart building" refers to buildings with a building management system that automatically manages and controls various types of energy used in the building, such as lighting, air-conditioning, and water heating, using technologies such as IoT and AI.
'Fashion tech' refers to the use of big data, AI, AR/VR, and IT in customer services; the development of products incorporating functional materials and wearable devices; and the application of electronics and digital technologies in manufacturing, processing, and distribution processes.
Beyond 5G (5th generation and later mobile communications system: hereinafter “B5G”) / 6G (6th generation mobile communications system) is expected to be applied and spread in popularity as a new form of information communications infrastructure from the 2030s.
The "smart home" is a near future housing concept that utilizes advanced information processing technologies to improve the efficiency and prosperity of life.