Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Crystal structures have a decisive impact on the properties of materials, and research on crystal structures often serves as a starting point for material studies. Crystal structure prediction is a ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures. Mathematicians often work ...

Researchers at the Indian Institute of Science built a machine learning framework mapping nearly 10,000 reactions in CO2 ...

Sofia University, a WASC Senior College and University Commission (WSCUC)-accredited institution, is expanding its graduate ...

Machine Learning is an important area of research and practice influencing many diverse application domains and industries. Students may add this concentration to any degree within the College of ...