Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

This TDWI Data Points report focuses on how enterprises are modernizing their data strategies and architectures to meet the ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Professors Amir Ali Ahmadi and Pravesh Kothari are pioneering the use of artificial intelligence to enhance complex ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

"We've shown that just one very elegant equation, rooted in the science of information, gives you rich algorithms spanning 100 years of research in machine learning. This opens up many new avenues ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data ...

The need for ethical data scientists in today's society is greater than ever before. The Online Master of Science (M.S.) in Data Science empowers you to apply technical methods and consulting skills ...

“I think we do okay at the postdoc level, and certainly at the graduate student level, but we need to create more faculty jobs that are in this interdisciplinary machine learning–data science space in ...