The following were selected by DAIS ITA leaders spanning the five-year program from key achievements nominated by DAIS Technical Area Leaders across eight different categories core to the DAIS values and mission.
Cross National Collaboration
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (IBM US, Imperial, PSU, ARL)
- Interpretability of Deep Learning Models: A Survey of Results (IBM US, IBM UK, Cardiff, UCLA, UCL, ARL, IBM UK, Ozyegin University, BAE)
- Network Research Collaboration (Imperial, Yale)
Interdisciplinary Collaboration
Straddling the goals of collaboration & advanced science, and speaks to program breadth
- Applying AI to criminal and terrorist networks (Penn State, IBM US, IBM UK)
- Network Motif Analysis (Cardiff, Penn State, UMass, IBM UK)
- Semantic Vectors (ARL, IBM UK, Cardiff)
Scientific discovery / quality
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (IBM US, Imperial, PSU, ARL)
- Evidential Deep Learning to Quantify Classification Uncertainty (ARL)
- A Scalable Vector Symbolic Architecture Approach for Decentralized Workflows (Cardiff, IBM UK, IBM US)
- The evolution of strongly-held group identities through agent-based cooperation (Cardiff, Yale)
Blue sky exploration
Also known as ‘scientific risk’
- Towards spike-based machine intelligence with neuromorphic computing (Purdue)
- Coalition Situational Understanding Facilitated By Vector Symbolic Architecture (Cardiff, IBM UK. UCLA, BAE)
- DeepProbCEP: A Hybrid Neuro-Symbolic Approach for Complex Event Processing in Noisy and Adversarial Settings (Cardiff, UCLA)
Military impact
- Embedding Dynamic Knowledge Graphs based on Observational Ontologies in Semantic Vector Spaces (UK transition)
- Machine learning algorithms promise better situational awareness ARL news
- Research enhances Soldier decision-making ARL news
Commercial prosperity
- Federated Learning in IBM Cloud Pak 3.5
- FastLAS - Mark Law from Imperial has set up his own ILASP business, contracting to Dstl to advance ILASP and FastLAS for military operations
- Robust CoreSet Construction in IBM Research Early Access on Edge AI SDK
Social Good / Community Impact
- PhD Student Cohort (50+ students across lifetime of program)
- Summer Intern Placement Program (25+ students spent summer in rotation at IBM)
- USMA Cadets (Hosted visits from 2016-2019 for 2-4 visiting cadets at Hursley per year)
Student-led Achievement (training next-generation researchers)
- Harrison Taylor/Alun Preece Example Paper - VADR: Discriminative Multimodal Explanations for Situational Understanding
- Tiffany Tuor/Kin Leung Example Paper - Distributed Machine Learning in Coalition Environments: Overview of Techniques
- James Ashford/Roger Whitaker Example Paper - Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision Networks (www conf)