For example, chaotic models (deterministic and nonstochastic, yet unpredictable) are also possible using computational formalisms (e.g., those in Box 3). Of course, mathematical models can also be ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...

An example of a hierarchy of computational models is in Figure 1, which shows the intermediate scales: atomistic models, dislocations, micromechanics and macromechanics. Meshfree methods are being ...

KinasePred is an example of a data-dependent computational tool developed to solve a particular problem—the selection of kinase inhibitors. This is achieved by applying a predictive model which ...

Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for ...

The model predicts a universal law: the learning timescale should scale as the square root of the environmental timescale. For example, if the environment fluctuates twice as slowly, the organism ...

The hottest trend on the horizon for artificial intelligence (AI) is agentic AI, according to Jason Moore, Ph.D., chair of ...

Model allowed researchers to better understand the complex molecular mechanisms that determine the robustness, flexibility, and adaptability of the aging brain.

In the Master’s Programme in Theoretical and Computational Methods, you have flexibility in how you combine courses to make a cohesive programme of study. Once you start you will be appointed an ...