Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

Consider this problem I assign every year in my algebra-based physics class: A rocket is launched toward space with a steady speed of 6m/s. After 10 seconds, the engine providing that speed cuts off ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Popular tech YouTuber ChromaLock recently shared a video demonstrating how they managed to connect a “dated” TI-84 graphing calculator to the internet and run ChatGPT, creating, “the ultimate cheating ...

To mathematicians, equations are art. Just as many are moved by a painting or piece of music, to those who appreciate and understand math, expressions of numbers, variables, operations and relations ...

A knowledge graph, is a graph that depicts the relationship between real-world entities, such as objects, events, situations, and concepts. This information is typically stored in a graph database and ...

1 28 Cornerstone Ct., Doylestown, PA, USA. 2 Harvard Medical School, Cambridge, MA, USA. 3 Independent Education Consultants, West Hartford, CT, USA. In the realm of Newtonian calculus, the slope and ...