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Impact Acceleration Program

EIF Launches Impact Acceleration Program in Partnership with C-Quadrat Ampega Social Fund and RECONOMY

 

Enterprise Incubator Foundation (EIF) announces the launch of 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.

Internship Opportunity in Neurotechnology and Data Science

Call for Interns։ Internship Opportunity in Neurotechnology and Data Science

 

We are pleased to announce an internship opportunity for motivated students and young specialists to join our newly established Neurotechnology Laboratory.

This two-month internship is designed to provide hands-on exposure to contemporary neurotechnology methods, tools, and research practices, offering a unique opportunity to work at the intersection of neuroscience, engineering, and data science.

Thе internship program is implemented by the Science Incubator of the Enterprise Incubator Foundation (EIF) at the newly established Neurotechnology Laboratory within the High-Tech Accelerator in Engineering City.
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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