A

• AI Hub Mathematical Foundations of Intelligence: An "Erlangen Programme" for AI

B

• BMW Driving Behaviour in Multi-Winner Elections

F

• Foundational AI Research

R

• Real World Benchmarks for Deep Probabilistic AI

S

• ST-SML Spatiotemporal statistical machine learning (ST-SML): theory, methods, and applications

T

• The Automatic Computer Scientist
• Turing AI Fellowship The Large Agent Collider
• Turing AI Fellowship Geometric and Topological ML for Next-generation Drugs and Food

U

• Uncertainty Propagation from Perception to Decision Making

C

• COMPANIONS
• Computational Entity-Level Sentiment Analysis

D

• Deep Learning
• Democratising Safe and Robust AI through Public Challenges in Bayesian Deep Learning

E

• ERC AdG WhiteMech White-box Self-Programming Mechanisms
• Europa European Robotic Pedestrian Assistant

F

• Foundations of Trustworthy AI Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimisation
• From Uncertainty in Deep Learning to Data Efficient AI

L

• LEMAN Deep LEarning on MANifolds and graphs

P

• Personalized Search on the Social Web
• PrefMPS Preference Mining for Personalised Search on the Social Semantic Web
• Probabilistic Semantic Query Answering on the Web
• PRODIMA PRODIMA: PRObabilistic Data and information Integration with provenance MAnagement
• PrOQAW PrOQAW: Probabilistic Ontological Query Answering on the Web

R

• RACE Reasoning about Computational Economies
• RealPDBs Realistic Data Models and Query Compilation for Large-Scale Probabilistic Databases

S

• SAFeSEA Supportive Automated Feedback for Short Essay Answers

T

• Towards Explainable AI - Trustworthy Super-Resolution (OpenSR)

V

• VADA VADA: Value Added Data Systems -- Principles and Architecture