An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
As network reliability is increasingly tested by aging power infrastructure and the complex demands of renewable energy, cellular IoT provides timely solutions.
In this episode, we talk about how a driven undergraduate student from Columbia University mapped fingerprints from different fingers of the same person - which was widely known to be impossible by the experts in the field - using publicly available data and machine learning.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
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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.
with Xsens motion capture
An international collaboration between EPFL and the University of Glasgow has led to an advanced machine-learning algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades – before turbines are put into service.
3 minutes read
As network reliability is increasingly tested by aging power infrastructure and the complex demands of renewable energy, cellular IoT provides timely solutions.
5 minutes read
In this episode, we talk about how a driven undergraduate student from Columbia University mapped fingerprints from different fingers of the same person - which was widely known to be impossible by the experts in the field - using publicly available data and machine learning.
15 minutes read
Researchers have developed a virtual reality application where a range of 3D modelling tools can be opened and controlled using just the movement of a user’s hand.
3 minutes read
New research from Carnegie Mellon University’s Department of Mechanical Engineering and the Human+AI Design Initiative underlines the adage “teamwork makes the dream work,” especially when it comes to human-AI collaboration.
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
In this episode, we talk about MIT researchers making a smart tool (like a robot scientist) that uses AI to understand and explain how other AI brains (neural networks) work.
14 minutes read
Imagine a task that used to take 11 minutes now taking less time than the blink of an eye. Couple that speed increase with 97% accuracy, and these are the results researchers achieved when combining ML, neural networks and novel compression in a new project advancing reservoir production forecasts.
4 minutes read
Columbia engineers have built a new AI that shatters a long-held belief in forensics–that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way!
4 minutes read
Smart retail — those retail outlets that use data and automation for better decision-making and store operations — can provide retail managers with insights and help them unlock efficiencies that enable better customer service and improve revenue potential.
5 minutes read
Every day, the average person inhales a staggering 11,000 liters of air, amounting to more than 300 million liters over a lifetime (as reported by TheWorldCounts).
4 minutes read
High-performance microprocessors with AI hardware acceleration are revolutionizing Edge AI, enabling advanced computer vision capabilities directly on devices for real-time data processing and analysis.
MIT researchers introduce a method that uses artificial intelligence to automate the explanation of complex neural networks.
From space robots to self-driving cars, Stanford’s Autonomous Systems Lab looks to push the boundaries of exploration and boost the safety and efficiency of everyday tasks.
4 minutes read
Novel drone navigation technology developed by Kenji Shimada was put to the test in an active Japanese tunnel construction site, enabling drones to approximate where a collision may occur and prevent it.
2 minutes read
