aiFlows

aiFlows

Modular AI collaboration framework

aiFlows is a framework centered around Flows and messages. Flows are independent, self-contained computational building blocks that can complete semantically meaningful units of work. Flows communicate via a standardized message-based interface, enabling modularity, reusability, remote peer-to-peer collaboration, and concurrency.

CloudMachine LearningProtocol
Key facts
Maturity
Support
C4DT
Inactive
Lab
Active
  • Technical

Data Science Lab

Data Science Lab
Robert West

Prof. Robert West

Our research aims to make sense of large amounts of data. Frequently, the data we analyze is collected on the Web, e.g., using server logs, social media, wikis, online news, online games, etc. We distill heaps of raw data into meaningful insights by developing and applying algorithms and techniques in areas including social and information network analysis, machine learning, computational social science, data mining, natural language processing, and human computation.

This page was last edited on 2024-04-16.