Applicant tracking systems scan for exact keyword matches before reviewSpecific tools and frameworks signal real project depth and expertiseClear ...

The Matplotlib maintainer who watched an AI agent publish a hit piece about him thought he was dealing with a simple performance tweak, not a reputational attack. When the Federal Trade Commission ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

But funding proposals to US agencies also tend to be more similar to previously funded projects if they are written or edited ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries reduces coding erro ...

Abstract: Machine unlearning as a fundamental requirement in Machine-Learning-as-a-Service (MLaaS) has been extensively studied with increasing concerns about data privacy. It requires MLaaS providers ...