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EINO 2019-04-30T18:09:30+00:00

Project Description

EINO

Predictive Optimization Solution that Reduces Energy Consumption of Telecom Networks by Reallocation of Unused Resources 

Principal Investigator – Armand Vedadi-Comte

Entrepreneurial Lead – Payman Samadi

The Project

Founded by a team of Cornell information and network scientists, EINO is building a critical network infrastructure software that will empower smart cities. EINO’s contextual intelligence understands mass population movement and intentions in urban areas to optimize the mobile networks, improving the energy efficiency while reducing the operational and capital costs. The technology includes a knowledge-base on temporal and spatial human movement and intentions and portfolio of machine learning methodologies to accurately predict demand and optimize infrastructure resources.

AWARDEE DETAILS

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