Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

Abstract: In this demo we propose a method for computing real time convolution on AER images. For that we use signed events. The AER events produced on an AER retina or an image/video to AER conversor ...

🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.

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Some critics speculate whether AI tools will replace human designers, but I believe the reality is that generative AI is a new creative sidekick—an assistant that accelerates tedious tasks and unlocks ...

If you fabricate metal products, understanding your material’s properties is key to your success. One valuable tool to help you measure material behavior during deformation and predict production ...

Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...

Early and accurate diagnosis of pneumonia is crucial to improve cure rates and reduce mortality. Traditional chest X-ray analysis relies on physician experience, which can lead to subjectivity and ...

The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict a person's income based on their age, height, high school GPA, and so on.