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
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.
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 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 the world of automotive manufacturing, precision is not optional — it is mandatory. Every component, from wiring harnesses to interior panels to fasteners, must be installed correctly, in the correct sequence, at the correct tempo, every single time.
Drs. Linda Katehi and Jian Tao are developing digital twin technology to create customizable, AI-powered sensor systems that can be built faster, more affordably and with better performance.
EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
Traditional processors are inefficient in certain contexts, wasting energy on data movement rather than computation. As a result, the industry is shifting focus to maximizing performance per watt, highlighting the need to rethink compute architecture to meet real-world constraints.
AI is transforming engineering by enabling professionals to express system development goals in natural language, which AI can then convert into code, designs, or strategies. This shift is democratizing access to advanced engineering tools and boosting productivity.
Texas A&M researchers received a grant from the U.S. Army Research Laboratory to address the limitations of applying artificial intelligence tools in military scenarios.
Though artificial intelligence has become nearly ubiquitous, from smartphones to chatbots to self-driving cars, its impact on health care so far has been relatively low.
Article #6 of Confronting AI Series: AI's rapid evolution has outpaced regulation. In this Q&A, Jared Bowns explores how adaptive frameworks, accountability, and ethical oversight can help engineers manage the risks and responsibilities of building trustworthy AI systems.