Michal Kopera, associate professor of mathematics and director of the Numerical Modeling Lab, or NUMO Lab, has been awarded a ...

Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at ...

There is significant interest in the development and application of foundation models for scientific discovery. Foundation models possess the capacity to generate outputs or findings and discern ...

Introduction to Machine Learning: Supervised Learning offers a clear, practical introduction to how machines learn from labeled data to make predictions and decisions. You’ll build a strong foundation ...

Overview Newer certifications are highlighting the importance of Generative AI and MLOps, which represent the changing ...