Topics

Supervised and unsupervised learning, model selection, evaluation.

Neural architectures, training dynamics, representation learning.

Agents learning control policies from interaction and reward.

Coordination, task allocation and load-balancing across many agents.

Transformers, sentiment analysis, text representation.

Image understanding, segmentation, landmark detection.

Time, frequency and time–frequency characterisation of signals.

Inference, experimental design, statistical modelling.

Linear, piecewise and generalised regression models.

Unsupervised partitioning and mixture models.

Manifold learning, UMAP, autoencoders as compression.

Forecasting and sequential structure in data.

Search, allocation and numerical optimisation.

Algorithm design and complexity analysis.

Mechanical physics, vibration, fatigue and damage.

UAV imagery, LiDAR, point clouds, geospatial data.

Simulated and physical agents acting in an environment.

Secure systems, memory safety, exploitation and defence.

Clinical and epidemiological data analysis.

Quantitative finance and the political economy of capital.

Regulation, oversight and institutional design for artificial intelligence.

Cloud cost, commitment and capacity modelling.

Design, architecture and delivery of working software.

Differential calculus, dynamical systems, numerical analysis.