| Robust AI |
AI that remains reliable under noisy, incomplete, distorted, or difficult real-world inputs. |
Healthcare, Defense, Media, Transportation, Smart Cities, Software, Recruiting, Customer Service |
1. LLMs that understand noisy patient narratives
2. LLMs that ask useful follow-up questions
3. LLMs that interpret critical voice communications
4. neural networks that recognize license plates from extreme angles
5. neural networks that detect anomalies in cyber-physical vehicle systems
6. ML models that detect tunnels from weak seismic signals
|
| Specification-Driven Generative AI |
AI that generates outputs according to strict specifications, constraints, and target properties. |
Material Science, Healthcare, Education, Media, Defense |
1. diffusion models that design new molecules with desired properties
2. LLMs that generate text in a precise style
3. LLMs that generate text with controlled multi-aspect sentiment
4. LLMs that simulate students with specified knowledge gaps
|
| Multi-Agent AI without Coordination |
AI agents that solve shared tasks without prior coordination, direct communication, or centralized control. |
Drones, Defense, ML Systems |
1. drones that collaboratively allocate themselves across a pool of targets
2. LLMs that evaluate and rank each other’s outputs
|