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.
Researchers at Texas A&M University have described a computational tool to evaluate a material’s suitability for high-temperature applications, such as gas turbines for jet engines and electrical power generators.
Remote temperature monitoring systems provide critical insights for IoT applications across many industries, including real estate, manufacturing, and healthcare. Early adopters are already seeing measurable ROI from automatic temperature monitoring in terms of increased productivity and more.
In this episode, we talk about how DeepMind’s AlphaFold algorithm solved protein folding, NASA JPL’s partnership with the Department of Homeland Security to better protect firefighters, and a trial for autonomous shuttles in DTU that can change the transportation infrastructure of the whole country
In today’s digital age, where information is massively booming, ordinary softwares cannot handle the data because it’s Big Data. In this article, we’ll understand the main characteristics of Big Data i.e., the 3V’s, its technological advancements, applications, challenges, and data security.
Brian de Bart, Team Lead Automotive System Innovation at NXP explains about chips and AI in automotive industry as part of a series from the founding partners of the AI Innovation Center at High Tech Campus Eindhoven.
Arnaud Hubaux, Senior Technical Program Manager explains about optimization of ASML machines as part of a series from the founding partners of the AI Innovation Center at High Tech Campus Eindhoven.
Interesting discussion with Hod Lipson, the head of Creative Machines Lab, Columbia University in New York. In this episode, Can robots be Self-aware? Can robots design other robots and self-repair? Why should we evolve robots to do tasks that animals do so well?
The cloud accelerates innovation by enabling reducing the need for investment through pay-as-you-go models and increasing collaborative design opportunities.
You can now build tiny machine learning (TinyML) models that interpret sensor data in realtime, from detecting lions roaring to tracking sheep workouts.