Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop hosted at Princeton University. This workshop will focus on topics including big data analytics and ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

In the rapidly evolving landscape of data science and machine learning, ensuring accessibility of data is critical for obtaining meaningful insights. Continuous data plays a pivotal role in various ...

Machine learning systems increasingly underpin modern technological innovation, and their effectiveness is inextricably linked to advanced data management solutions. Contemporary research has placed a ...

Microfactories are not just smaller replicas of mega-factories. They operate with radically different assumptions. Data is ...

Industry experts, competitors and even your customers are talking about machine learning and artificial intelligence. As they continue to grow in popularity, more companies than ever before are ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...