In an era defined by rapid AI adoption, securing software has become increasingly complex. As organizations integrate AI-driven features into ...

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 ...

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 ...

Overview:  Master R programming faster with real-world projects that build practical data science skillsFrom stock market ...

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 ...

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 ...

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’ ...

Mary-Late Laibhen ’28 was recently accepted into the Break Through Tech’s AI Program, where she will learn the skills she ...

Want to learn machine learning from scratch? These beginner-friendly courses can kickstart your career in AI and data science ...