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Faculty Research Funding Program 2026

Call for Applications

Faculty Research Funding Program 2026

The Enterprise Incubator Foundation (EIF), with the support of PMI Science R&D Center Armenia, is excited to announce the Faculty Research Funding Program 2026 — an AI-driven initiative designed to foster innovative research that addresses the industry's current challenges and bridges the gap between academic research and industry needs.

Impact Acceleration Program 2

EIF Reopens Impact Acceleration Program for a Second Round of Applications in Partnership with C-Quadrat Ampega Social Fund and RECONOMY

 

Enterprise Incubator Foundation (EIF) announces a second round of applications to its Impact Acceleration Program, designed to identify, accelerate, and invest in early-stage tech startups creating measurable social and environmental impact.  The program is implemented in partnership with C-Quadrat Ampega Asset Management Armenia (CQAA) Social Fund, with the support of the RECONOMY program funded by the Swedish International Development Cooperation Agency (Sida) and implemented by Helvetas Swiss Intercooperation.
NVIDIA “Fundamentals of Deep Learning” workshop 2022

 

ANNOUNCEMENT

 

NVIDIA DLI and the “Data Science for Business” master’s program of YSU, in partnership with Enterprise Incubator Foundation (EIF) and Innovative Solutions and Technologies Center (ISTC), are inviting to participate in the “Fundamentals of Deep Learning” hands-on workshop, which will take place on February 12 and 13 at YSU (2 days, 4 hours each day).

 

The workshop is exclusively for verifiable academic students, staff, and researchers with innovative and progressive mindsets. Workshops will be led by the certified NVIDIA DLI Ambassador in Armenia Lilit Yolyan.

 

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

 

In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will:

●     Implement common deep learning workflows such as Image Classification and Object Detection.

●     Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.

●     Deploy your networks to start solving real-world problems

On completion of this course, you will be able to start solving your own problems with deep learning.

 

Prerequisites:

Basic experience using Python and familiarity with matrix operations, functions, variables, etc. English language fluency

 

The registration deadline is February 10 (including).

 

To apply please visit here.




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