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.
As a result of the development of various machines and robots, we have become able to effortlessly handle jobs that humans could not perform with muscle strength and motor skills. Moreover, owing to advances in sensors, AI, and other information processing technologies, we have also become able to use perceptual abilities that exceed the five human senses.
At the recent AI+Education Summit, Stanford researchers, students, and industry leaders discussed both the potential of AI to transform education for the better and the risks at play.
Innovations such as biomimicry, software inspired by insect brains, smart skin, neuromorphic computing, and other emerging technologies further expand robots' capabilities and push the boundaries of robotics hardware.
This article explores the role of robotics and Artificial Intelligence (AI) in sheet metal forming. The utilization of AI and automation has accelerated and enhanced the speed and accuracy of centuries-old manufacturing processes.
AI chatbot ChatGPT exploded onto the scene in November 2022. It can write essays, WordPress plugins and even pass an MBA exam – yet scientists still don’t fully understand how these general artificial intelligence programs work. New EPFL research aims to change this paradigm.
This article is an excerpt from : Artificial intelligence: friend or foe?
ABI Research forecasts that TinyML unit volumes will explode from 15 million units in 2020 to 2.5 billion units in 2030. Find out about this machine-learning technique now.
Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
As potential locations for future base camps, the lava caves on the moon are of great interest. But how can they be reached and explored? This has been investigated by a European consortium coordinated by the German Research Center for Artificial Intelligence (DFKI) in the project CoRob-X
In this episode, we discuss how researchers aim to reintroduce human guidance and oversight in the development and use of AI technology to address the risks of misuse and ensure deployment of models has a net positive impact.
The edge machine vision sector is growing rapidly, but developers must have access to the right hardware if they are to keep up with demand and stay ahead of their competitors.
Mining is one industrial sector rarely mentioned regarding IoT adoption. That's because, unlike manufacturing, construction, or commerce, the mining industry has unique challenges, making IoT adoption a much more demanding proposition.
In recent years, the use of devices and systems that utilize data to function in an intelligent manner has become commonplace. Machines that make high-level decisions comparable to humans and those that surpass humans in performing work depending on how they are applied have also appeared.
The study aims to help society, including regulators considering AI safety regulations and organizations considering adopting AI, understand the societal implications of ever-smarter machines.
We proclaim 2022 The Year of Innovation. In this "End of the Year" list we highlight 25 Campus high-tech, innovative companies, including multi-nationals, startups, scale-ups and everything in-between. These are companies of the future, and they’re all here at HTCE.