For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials.

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of ...

"Automatic Generation of Vectorizing Compilers for Customizable Digital Signal Processors," by Thomas and Bornholt, uses a ...

Hyperscience, a market leader in enterprise AI infrastructure software, focused on Intelligent Document Processing (IDP), today announced it has been named both a Leader and a Customer Favorite in The ...

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...

Not only were CFD sims cheaper than wind tunnel time, but they were also much faster at iterating. Early design work is now done in silico before being validated with scale models in a wind tunnel, as ...

An intelligent spam detection system that classifies SMS/email messages with 98.48% accuracy using machine learning. This project compares multiple algorithms and provides comprehensive performance ...

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 ...

Abstract: It is now more important than ever to identify hate speech in digital communication in order to preserve a welcoming and safe online community. Utilizing a three-class classification dataset ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...