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.
Join ATCx AI for Engineers 2025, Altair's global virtual event showcasing AI-driven innovations in design, simulation, and manufacturing. Discover 100 real-world AI use cases, gain insights from industry leaders, and explore how AI is transforming engineering workflows.
BrainChip's Akida processor is enabling real-time seizure prediction in wearable devices, marking a breakthrough in low-power, personalized medical AI at the edge.
Researchers at ETH Zurich have developed the first technology that is able to recognise biomarkers in menstrual blood – directly in sanitary towels. MenstruAI promises a simple, non-invasive method for recording health data in everyday life.
This article explores the significant advancements in AI-driven MEMS sensors, focusing on STMicroelectronics' (ST) cutting-edge technologies, their applications, and the ecosystem supporting these innovations.
As augmented smart glasses technology edges closer to mainstream adoption, engineers face challenges around display performance. Namely, many seek to achieve higher resolution without driving up power consumption and device bulk.
Wevolver spoke with John Weil, Vice President of IoT and Edge AI Processor Business at Synaptics, to understand the challenges of bringing AI to the edge, how the Synaptics Astra™AI Native platform enables cognitive computing in real-world devices, and what the future holds for edge intelligence.
EPFL researchers have discovered key 'units' in large AI models that seem to be important for language, mirroring the brain's language system. When these specific units were turned off, the models got much worse at language tasks.
Join MVTec to explore how advanced machine vision software is revolutionizing semiconductor wafer inspection with live demos, not slides—boosting precision, quality, and efficiency.