In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Random access memory is a crucial component of every computer's operation, but it's not always easy to tell when your RAM is ...

Solve two Atwood machine problems step by step, including the effects of friction and an inclined plane. Learn how to set up free-body diagrams, apply Newton’s laws, and avoid common mistakes in ...

Join us as we explore a long-standing mystery in science: why is the sky dark? In this video, we discuss: - Olber’s Paradox - ...

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...

A spat over scientific advice to government underlines, yet again, the need for better engagement with science across the population. If you're reading this, you're probably a scientist. Would you ...

This project uses an agentic RAG pipeline to iteratively retrieve and refine context chunks from a Qdrant vector database. The agent interacts with Qdrant, evaluates chunk relevance, and improves ...

Abstract: In recent years, deep learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

This repository implements advanced physics-driven deep learning frameworks for solving partial differential equations (PDEs) and related inverse problems. These methods leverage deep neural networks ...