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
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.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Smart eyewear promises to transform how we see and interact with the world. Among its many potential advantages, the technology offers hands-free access to information, vision enhancement, and accessibility tools.
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.
The no-code platform from Matroid trains ordinary cameras to act like expert inspectors, turning simple footage into a pixel-level defect checklist. Even a handheld GoPro can spot issues human eyes miss—using remarkably small datasets.
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
MATT overtakes challenges met during the process of testing in-vehicle-infotainment systems using its characteristic adaptability and capabilities to support an effective operation throughout the testing process.
The inertial navigation system is a basic component of obtaining a continuous navigation solution in various applications. The system suffers from a growing error over time. This article proposes a machine-learning-based adaptive neuro-fuzzy inference system to improve navigation performance.
The new computer model accurately predicts the behavior of millions of microbial communities from hundreds of experiments, an advance toward precision medicine.
Born and raised in Bulgaria, Marina Velikova was mesmerized when the first computer arrived in her hometown. She can still remember the pain of not being one of the students chosen to work with the machines. That was the moment she understood technology was her realm.
Automation is one of the cornerstones of warehousing in Industry 4.0, but it will require a combination of technology working in concert to make it a success.
A student article focusing on how the management of emergency vehicles can be fostered within a Smart City to suggest the best course of action in different traffic situations.
In this episode, we talk about how researchers plan to orchestrate the movement of a fleet of cars in real-time to avoid or minimize waiting periods at stoplights and how off-road navigation is being tackled in a way that’ll make your car understand the dynamics of its surroundings like a human.
Metasphere’s ART Sewer wastewater and sewerage spill monitoring solution combines cellular IoT and AI/machine learning (ML) to protect freshwater and marine ecosystems in a way that Metasphere says hasn’t been commercially or technologically viable until now.
In this episode, we talk about how robotic dogs might be the next best astronauts as they are well-equipped to explore the Moon’s unforgiving terrain, and about a framework for launching swarms of robots into warehouses to get work done better, safer, and more efficiently.