Threat Modeling with ATT&CK defines how to integrate MITRE ATT&CK® into your organization’s existing threat modeling methodology. This process is intended for universal application to any system or ...

As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...

Abstract: In this paper, we introduce a novel approach to implicitly encode precise robot morphology using forward kinematics based on a configuration space signed distance function. Our proposed ...

This blog post was authored by Mo Elsayed Senior Associate and Senior Building Performance Analyst, Page; Jill Kurtz, LEED AP BD+ C, Principal and Director of Building Sciences, Page; and Justin ...

A recent Nature study shows that separated artificial neural networks can accurately model SiC MOSFETs using minimal training data. Silicon carbide MOSFETs are increasingly replacing traditional ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Financial markets, as observed in practice, are inherently incomplete due to a variety of structural and dynamic features. These include stochastic dynamics of state variables, discontinuities in ...

DJI has expanded the capabilities of its Terra 3D modeling software with new reconstruction technologies, including 3D Gaussian Splatting. DJI Terra is designed to create accurate and detailed 2D and ...

Kimora Lee Simmons strutted down the runways as one of the industry’s top models in the ‘90s — but it wasn’t always a glamorous affair. “I remember when I flew into Milan for a shoot with Naomi ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...