Super VC Marc Andreessen talks with Blake Masters and Amjad Masad, CEO and co-founder of Replit, a cloud-based coding ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Abstract: This tutorial paper focuses on safe physics-informed machine learning in the context of dynamics and control, providing a comprehensive overview of how to integrate physical models and ...

CIRCLEVILLE, Ohio – Sofidel America has completed a major expansion at its Circleville facility, starting up a third paper machine that will significantly increase production and create new jobs in ...

The Defense Logistics Agency has published “Transforming Defense Logistics Planning: Leveraging Machine Learning for Enhanced Warfighter Readiness,” a white paper that pushes for a significant shift ...

Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques The density of 6 fermions in a 2D harmonic ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

If you want to learn how to write a research paper, follow the "10 Principles" authored by UC Davis distinguished professor emeritus James R. Carey of the Department of Entomology and Nematology. His ...

Main codes for half-cell model, PINN and co-kriging implemented for physics-informed degradation diagnostics project: https://doi.org/10.1016/j.ensm.2024.103343 ...