RAMZ / WORK
We want to connect research with real needs: language, knowledge, reliable assistance and practical deployment. The agenda is broad; execution will begin with focused problems.
Explore how machines can understand and generate locally relevant speech and text without treating variation, accents or code-switching as afterthoughts.
RESEARCH QUESTION
How do we evaluate accents, variation and code-switching without hiding failure?
PROPOSED OUTPUTS
Transcription prototypes, speech evaluations, appropriately licensed datasets, and eventually speech synthesis and translation capabilities.
Explore how AI can extract, retrieve and explain information from documents and recordings while keeping sources visible.
RESEARCH QUESTION
Can every useful answer lead back to evidence a person can inspect?
PROPOSED OUTPUTS
Document-processing prototypes, retrieval evaluations and a knowledge-product workflow.
Explore assistance that can act within a defined scope, ask for approval and expose enough evidence for people to judge the result.
RESEARCH QUESTION
Which tasks can be completed reliably, and where must a person remain in control?
PROPOSED OUTPUTS
Task evaluations, failure analysis, controlled tool-use workflows and human-review interfaces.
Explore systems that can be operated at a practical cost and deployed under clearly specified data and connectivity requirements.
RESEARCH QUESTION
What does useful quality cost under real connectivity and data requirements?
PROPOSED OUTPUTS
Measured deployment experiments, operating-cost reports and designs for local or private environments.