What is robust design optimization (RDO), and is it better than standard optimization? In this customer case, we describe a multi-disciplinary optimization of a turbocharger compressor from Ford Motor ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

A protein engineering method using simple, cost-effective experiments and machine learning models can predict which proteins will be effective for a given purpose, according to a new study. A protein ...

The concept of “symmetry” is essential to fundamental physics: a crucial element in everything from subatomic particles to macroscopic crystals. Accordingly, a lack of symmetry—or asymmetry—can ...

The modern data landscape demands sophisticated engineering solutions that can handle massive scale while maintaining operational excellence. As organizations increasingly rely on real-time analytics ...

Type V and VI CRISPR/Cas systems have emerged as promising cutting-edge diagnostic tools for nucleic acid detection. Nevertheless, the challenge of low target concentrations necessitates ...

Welcome to the Securing Offload Engines blog series where we will explore different approaches to security implementations and look at system examples involving Cadence Tensilica Xtensa Processors. In ...

Normally when we run across a project that claims to be overengineered, we admit that we get a little excited. Such projects always hold the potential for entertainingly over-the-top designs, ...