Intelligent Flying Robots is a revolutionary approach to Non-Destructive Testing (NDT) that enables accurate contact-based inspection to fulfill industrial asset inspection standards with many advantages.
Intelligent Flying Robots is a revolutionary approach to Non-Destructive Testing (NDT) that enables accurate contact-based inspection to fulfill industrial asset inspection standards with many advantages.
Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying.
We all know how AI-based systems can be a real burden to your company’s energy bill and to reaching global climate goals. How about exploring AI’s capabilities to achieve the opposite? By deploying artificial intelligence to reduce your carbon footprint instead of enlarging it
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.
Intelligent Flying Robots is a revolutionary approach to Non-Destructive Testing (NDT) that enables accurate contact-based inspection to fulfill industrial asset inspection standards with many advantages.
Last year, MIT researchers announced that they had built “liquid” neural networks, inspired by the brains of small species: a class of flexible, robust machine learning models that learn on the job and can adapt to changing conditions, for real-world safety-critical tasks, like driving and flying.
We all know how AI-based systems can be a real burden to your company’s energy bill and to reaching global climate goals. How about exploring AI’s capabilities to achieve the opposite? By deploying artificial intelligence to reduce your carbon footprint instead of enlarging it
Curiosity drives artificial intelligence to explore the world, now in boundless use cases — autonomous navigation, robotic decision-making, optimizing health outcomes, and more.
Article #6 Electronics Innovation Series. Engineers are turning to an edge computing model using SBCs to create more secure, high-performance IoT applications.
Matroid's deep-learning system comprising of 3D-CNN helps to automatically detect Glaucoma from a single raw Optical Coherence Tomography (OCT) scan. The results are close to human doctors across heterogeneous datasets and scanning environments.
ML at the edge is the main target in many IoT applications today. Learn why it is important to build energy-efficient embedded devices, and how to achieve it using cutting-edge technologies.
Using Artificial Intelligence (AI) to replace optical and mechanical components, researchers have designed a tiny spectrometer that breaks all current resolution records.
How do you help high-tech companies get the most out of AI? You should bring knowledge, new ecosystems, and cutting-edge technology together on ‘the smartest square kilometre’ in the world!
In this episode, we talk about how a machine learning algorithm that can predict what sequence of actions a volleyball player will take next is being used to create more effective human/machine interactions for safer autonomy in our lives.