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HUMAN-MACHINE INFERENCE NETWORKS FOR SMART DECISION MAKING: OPPORTUNITIES AND CHALLENGES

Citation Author(s):
Aditya Vempaty, Bhavya Kailkhura, Pramod K. Varshney
Submitted by:
Aditya Vempaty
Last updated:
19 April 2018 - 4:14pm
Document Type:
Presentation Slides
Document Year:
2018
Event:
Presenters:
Aditya Vempaty
Paper Code:
SS-L15.01
 

The emerging paradigm of Human-Machine Inference Networks (HuMaINs) combines complementary cognitive strengths of humans and machines in an intelligent manner to tackle various inference tasks and achieves higher performance than either humans or machines by themselves. While inference performance optimization techniques for human-only or sensor-only networks are quite mature, HuMaINs require novel signal processing and machine learning solutions. In this paper, we present an overview of the HuMaINs architecture with a focus on three main issues that include architecture design, inference algorithms including security/privacy challenges, and application areas/use cases.

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