Abstract: In this work, we propose a high-order regularization method to solve the ill-conditioned problems in robot localization. Numerical solutions to robot localization problems are often unstable ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

As Bitcoin continues to grow in popularity, its original design, which supports only seven transactions per second, often struggles with scalability. This leads to higher fees and slower transaction ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

This video is an overall package to understand L2 Regularization Neural Network and then implement it in Python from scratch. L2 Regularization neural network it a technique to overcome overfitting.

While child-sized humanoid robots like the Unitree R1 have come down in price, not everybody has a spare $6,000 to throw around to play with robots, and smaller models like the Tonybot are more ...

Forbes contributors publish independent expert analyses and insights. I write about how fintech is disrupting the financial industry in Asia. While blockchain technology promises transparency and ...

Abstract: Several studies have used convolutional neural networks and long short-term memory (CNN-LSTM) models to detect phishing emails because of their ability to capture attack patterns from raw ...

Ethereum-based L2 chains are paying even less rent to the main net. The L2 blob fees burn only 17 ETH a week. L2 chains have grown in numbers, but most carry negligible activity and value, and are ...