Data Science and Machine Learning
Extracting new value from massive datasets
Speeding up ML workflows
Explaining and interpreting AI-driven decisions
Mathematical and Statistical Modeling
Understanding and forecasting complex phenomena
Leveraging domain expertise into existing models when data is scarce
Taking risk and uncertainties into account
Optimization
Data-driven tuning of industrial and engineering processes
Reducing energy and environmental footprints
Accelerating the training of deep learning systems
Dynamical Systems and Control
Modeling and predicting physical phenomena over time
Explaining the systemic behavior of climate, finance, or engineering scenarios
Developing strategies to control robots and intelligent agents