QuiX Quantum executives point to catalyst simulations, molecular dynamics, machine learning, and data analysis as use cases ...
For most of the industry’s history, the lever for semiconductor performance gains was process-node scaling. That is no longer the whole story. As one recent industry analysis put it, advanced ...
Abstract: Impulse noise (IN) can seriously degrade the performance of conventional active noise control (ANC) algorithms. Here, we present a novel feedforward ANC algorithm based on an ...
Abstract: Ball screw feed-drive system (BSFDS) is a widely used high-precision positioning mechanism, and its positioning accuracy is strongly limited by friction, vibration, etc. Those factors are ...
A gaming table, a puck hurtling across an air hockey table, and a robotic arm that plays like a pro. Three UBC engineering physics students (University of British Columbia) have succeeded in a feat ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let users directly influence the algorithms powering their recommendations.
The long-running Instrumentation & Automation Symposium is positioning itself as a critical forum for passing on the ...
Tech Xplore on MSN
An AI-powered control system for robots with legs
Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
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