A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in re ...

Machine Design’s audience has a diverse familiarity with AI, but one thing is clear—its impact is growing, from streamlining ...

This highlights the pressing need for skilled professionals who can identify and mitigate biases in AI models, ensuring fairness and transparency in AI-driven decisions.​ Recognizing this imperative, ...

Einstein imagined gravitational waves over a hundred years ago, but it wasn't until 2016 that technology finally caught up.

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

In the digital era, Puneet Gupta, a seasoned expert in semiconductor design, presents an innovative approach to resolving hold time violations in advanced System-on-Chip (SoC) designs. His research ...

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in ...

Researchers have developed a machine learning model that predicts Cas9 proteins that can be tailored with designer properties for therapeutic use.