Treble's wave-based acoustic simulation platform uses patented algorithms to generate AI sound scenarios for robotics, ...

Simulating realistic behaviors of soap films is a challenging problem because the soap films have complex behaviors. In the computer simulation, various methods have been proposed to simulate these ...

Selecting appropriate machine learning (ML) methods for domain-specific tasks remains a persistent challenge, particularly in medicine where datasets are often small, heterogeneous, and incomplete.

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

Researchers at Carnegie Mellon University have developed a novel training method for autonomous drones that separates perception from control, enabling safe real-world deployment after training ...

The first type measures the sensitivities of portfolio value to some particular market variables. Usually, a portfolio’s risk profile can be described by a large number of those sensitivities. The ...

General manager of ETC-PZL Aerospace discusses the limitations of traditional classroom instruction, the benefits of ...

A new technical paper titled “Multiscale Simulation and Machine Learning Facilitated Design of Two-Dimensional Nanomaterials-Based Tunnel Field-Effect Transistors: A Review” was published by ...

With the growing demand for resilient, efficient, and low carbon infrastructure, increasing attention has been directed toward novel materials and ...