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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.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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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.
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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
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
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
TPU vs GPU: A Comprehensive Technical Comparison
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TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
ORGANIZATIONS. SHAPING THE INDUSTRY.
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TAGGED WITH machine learning
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
TAGGED WITH computer vision
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Latest Posts
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.
3 minutes read
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
3 minutes read
Article #5 of the "Why Edge?" Series Moving Computer Vision to the Edge offers advantages in security and latency.
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.
Newly developed method does it all with just a few pixels
Understand how embedded AI is changing the way we shop
$1.2 million National Science Foundation grant funds project to use quantum AI to create effective pharmaceuticals faster and cheaper
2 minutes read
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!
3 minutes read
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.
Article #4 of the "Why Edge?" Series. A short guide to how Edge AI is enabling cutting-edge advances in the automotive industry.
