Why it matters: Google is designing an operating system for embedded applications that runs machine learning algorithms. KataOS' main targets are security and privacy protection, working with open ...

For many projects, the data preparation phase is the most time-consuming in the entire lifecycle. As per IBM, data scientists ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Nitrogen-Vacancy (NV) centers in diamond are among the most promising platforms for quantum sensing, enabling measurements of magnetic fields, temperature, and other physical quantities at the micro ...

Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with projects that support AI development. For several decades now, the most innovative ...

LAS CRUCES - A team from the New Mexico State University College of Engineering has been tasked with developing machine learning algorithms in support of national defense. Professor David Voelz has ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...