The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by ...

Abstract: 3D lane detection from the input monocular image is a basic but indispensable task in the environment perception of automatic driving. Recent work uses modules such as depth estimation, ...

Abstract: Network-based anomaly detection plays a pivotal role in cybersecurity. Most detection models are based on unsupervised machine learning to learn such a normal flow pattern of network traffic ...

An unexpected revisit to my earlier post on mouse encoder hacking sparked a timely opportunity to reexamine quadrature encoders, this time with a clearer lens and a more targeted focus on their signal ...

A new magnetic digital encoder featuring 14-bit resolution, differential outputs, and a speed range of up to 200-k e-RPM offers accurate and cost-effective position sensing for various robotic and ...

Manufacturers need encoders, but they don’t really want to think about them. Encoders are arguably one of the most necessary sensors in manufacturing, but many aren’t sure what to consider when ...

Introduction: Hyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the ...

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...

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