X-MOD

Optimization models aim to minimize or maximize a certain objective function, often under a set of constraints

Simulation models create an accurate representation of a dynamic process to analyze the process moving parts, predict outcomes or changes upon intervention

Regression models capture precise relationships between different variables to infer unknown numeric values for new data records

Forecasting models predict future trends and outcomes of a time-series variable based on historical data

Segmentation or clustering models group data points into different clusters based on their similarity

Classification models categorize various data points into different known/learned classes based on the inherent structures of the data point.

Reduction models are able to compress the amount of features while retaining critical information

Generative models learn different patterns to synthesize novel data instances, expanding datasets with realistic artificial representations

Algorithms for understanding, analyzing, interpreting, and generating human language

Applied techniques for enabling machines to interpret and process visual data from the world

Adaptive learning systems that evolve with changing tasks, data distributions, and environments

Frameworks for interpreting, auditing, and validating AI models to ensure reliability and transparency

Developing techniques for multivariate time series analysis to understand the relationships between variables

Developing systems that learn optimal behaviors through trial and error interactions with their environment

Optimizing an objective function within an inherently complex, uncertain, and noisy system to achieve the best possible outcome

Optimizing several objective functions simultaneously to find the best possible trade-offs between different solutions

Optimizing an objective function, often with constraints, to identify the best solution, such as maximizing revenue or minimizing costs

Simulating the behavior of different entities within a system to understand how individual actions influence the overall system

Modeling and analyzing the dynamics of a complex systems to understand and predict its behavior over time