InfoWorld

What I learned using Claude Sonnet to migrate Python to Rust

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked.
IEEE

Sequence-to-point learning methods for Non Intrusive Load Disaggregation: A Review

Abstract: Energy disaggregation, also known as non-intrusive load monitoring (NILM), is a single-channel blind source separation (BSS) problem. It aims to decompose the total energy consumption of a ...
IEEE

Learning Compact Transformation Based on Dual Quaternion for Point Cloud Registration

Abstract: Accurately estimating 3-D rigid body transformation is a critical step for correspondences-free point cloud registration method. However, recently proposed methods have faced challenges in ...
IEEE

Collaborative Learning in Programming Education with the Programmed Visual Contents Comparison Method

Abstract: This paper discusses the effectiveness of the Programmed Visual Contents Comparison Method (PVCC) for collaborative learning in computer programming education. Building upon our previous ...
Dot Physics on MSN

Python tutorial: Predicting maximum projectile distance when air resistance matters

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...
Dot Physics on MSN

Python physics lesson 5: Analyzing projectile motion with drag forces

Welcome to Python Physics Lesson 5, where we explore projectile motion with drag forces. In this lesson, we go beyond ...
IEEE

Unleashing 8-Bit Floating Point Formats Out of the Deep-Learning Domain

Abstract: Reduced-precision floating-point (FP) arithmetic is a technology trend to minimize memory usage and execution time on power-constrained devices. This paper explores the potential ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

Learning-Based Sampling Method for Point Cloud Segmentation

Abstract: Light detection and ranging (LiDAR) has become one of the most important sensors in 3-D perception. With the advancement of sensor technology, the point cloud data generated by LiDAR have ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
People

Kid Rock Wasn't Lip-Syncing at Turning Point USA Halftime Show as He Says Technical Difficulties at Fault

The alternative programming was announced after Puerto Rican rapper Bad Bunny was named as the headliner at the 2026 Super Bowl Turning Point USA/YouTube Kid Rock claims he wasn’t lip-syncing at ...
Daily Mail

Zach Bryan slams Kid Rock's Turning Point USA Super Bowl halftime show as 'embarrassing as hell'

Zach Bryan on Monday was critical of Turning Point USA for programming a rival Super Bowl halftime show opposite Bad Bunny with Kid Rock as its headliner. The 29-year-old country music artist posted a ...