Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

This article is part of a special insideHPC report that explores trends in machine learning and deep learning. The complete report, available here, covers how businesses are using machine learning and ...

Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate ...

Despite the relevance of smart sustainable city governance and immersive virtual worlds, only limited research has been conducted on this topic. I contribute to the literature on big data-driven urban ...

Scientists from the University of California, San Francisco (UCSF), have used deep learning techniques to design an approach for generating artificial proteins that can move and change shape much like ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

New psychoactive substances, originally developed as potential analgesics but abandoned due to adverse side effects, may still have pharmaceutical value if researchers could nail down the causes of ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...