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Matroid's no-code computer vision platform leverages an intuitive 'detector studio' to accelerate deployment - no coding skills required.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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To empower intelligence at the edge, smart and highly integrated driver solutions are required for electromechanical actuators.
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AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
Engineers Wiki. Most Asked Questions.
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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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TAGGED WITH machine learning
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.
TAGGED WITH computer vision
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.
Latest Posts
Matroid's no-code computer vision platform leverages an intuitive 'detector studio' to accelerate deployment - no coding skills required.
To empower intelligence at the edge, smart and highly integrated driver solutions are required for electromechanical actuators.
AI scientists and doctors partner to understand who is at risk for persistent post-surgical pain
4 minutes read
Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps. This new resource could be a game-changer for wildlife monitoring and conservation efforts.
3 minutes read
Researchers at ETH Zurich and Empa have developed a new image sensor made of perovskite. This semiconductor material enables better colour reproduction and fewer image artefacts with less light. Perovskite sensors are also particularly well suited for machine vision.
4 minutes read
ATCx AI for Engineers 2025, Altair's global virtual event, which focuses on the practical impact of AI in engineering. Bringing together industry experts, engineers, and technologists, the event showcases how AI is being applied across various domains, disciplines, and the world.
Scientists at EPFL have unraveled the details of the first crucial step in the oxygen evolution reaction, a bottleneck for clean hydrogen production, using advanced simulations and machine learning techniques.
3 minutes read
EPFL and Lausanne University Hospital (CHUV) are part of an African-EU partnership awarded 10-million euros by the EU's Global Health EDCTP3 Joint Undertaking to roll-out an AI-driven application for more accessible and cost-effective tuberculosis (TB) diagnosis.
3 minutes read
The system automatically learns to adapt to unknown disturbances such as gusting winds.
In this episode, we explore groundbreaking research from Princeton University where scientists have developed ultracompact cameras utilizing metasurfaces—engineered materials that manipulate light in novel ways.
14 minutes read
A team of international researchers led by EPFL developed a multilingual benchmark to determine Large Language Models ability to grasp cultural context.
Watch the full webinar on demand now.
event | JUN 26 - JUN 26, 2025
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.
A REVIEW OF PAST AND FUTURE CDFAM PRESENTATIONS
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