As a result, remote control technologies are being widely adopted across various sectors. Among the many components used in ...

In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch ...

Abstract: The paper describes the closing of the loop for an analogue capacitive micro-accelerometer. The accelerometer is mathematical modeled, the mathematical relation being expressed both in ...

I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

This tutorial walks you through setting up Kubernetes the hard way. This guide is not for someone looking for a fully automated tool to bring up a Kubernetes cluster. Kubernetes The Hard Way is ...

Abstract: This paper intends to create a deep-learning architecture for training models over various defective tyre images until it has achieved intelligence to distinctly classify multi-class tyre ...