After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Dot Physics on MSN
Simulating a tipping stick with springs through Python
Learn how to simulate a tipping stick with springs using Python! This video walks you through building a physics-based simulation that models spring forces, tipping motion, and friction step by step.
Dot Physics on MSN
Creating a Python simulation of a tipping stick
Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...
Dot Physics on MSN
Learn to calculate area under curves numerically with Python
Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...
Abstract: 3D point clouds are widely used for robot perception and navigation. LiDAR sensors can provide large scale 3D point clouds (LS3DPC) with a certain level of accuracy in common environment.
Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...
Dot Physics on MSN
Learn to calculate launch angles in projectile motion using Python
Take your physics and coding skills to the next level with **“Learn To Calculate Launch Angles In Projectile Motion Using Python.”** This tutorial combines the fundamentals of projectile motion with ...
Abstract: With recent success of deep learning in 2-D visual recognition, deep-learning-based 3-D point cloud analysis has received increasing attention from the community, especially due to the rapid ...
Abstract: This paper presents a new category that has been added to the classification of Kim and Ko (2017) for programming learning systems, namely the Online Coding Tutorial System (OCTS) category.
This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.
An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...
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