The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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.
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
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Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
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.
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.
4 minutes read
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.
A Review of Presentations from CDFAM Computational Design Symposium Series, Past and Future
8 minutes read
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.
Generative artificial intelligence (GenAI) suffers from several types of biases that reflect human failings. How can we avoid being tricked?
4 minutes read
As seen at CDFAM Computational Design Symposium
4 minutes read
In addition to training future players, the technology could expand the capabilities of other humanoid robots, such as for search and rescue.
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.
4 minutes read
New type of "state-space model" leverages principles of harmonic oscillators.
Join MVTec to explore how advanced machine vision software is revolutionizing semiconductor wafer inspection with live demos, not slides—boosting precision, quality, and efficiency.
Explore how advanced computer vision technology transforms quality control in metal manufacturing and why it represents the industry's future.
"IntersectionZoo," a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.
