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 ...

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

AI and data are feeding each other — build the right strategy and you’ll unlock smarter decisions, better agility and a real ...

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 ...

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 ...

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 ...

A low-order 3-box energy balance model for the climate system is employed with a multivariable control scheme for the evaluation of new robust and adaptive climate engineering strategies using solar ...

Robust Intelligence, an AI startup that helps businesses stress test their AI models and prevent them from failing, today announced that it has raised a $30 million Series B funding round led by Tiger ...