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SCIENCE INCUBATION PROGRAM 2024

ANNOUNCEMENT

SCIENCE INCUBATION PROGRAM 2024 /Clobal call/

 

We're excited to launch the global call for the Science Incubation Program 2024, implemented by the Enterprise Incubator Foundation (EIF) with support of the PMI Science R&D Center Armenia. The program aims to support research groups, companies, and institutions worldwide in developing disruptive ideas and highly applied research. It fosters collaborations between industry and academia, facilitating the commercialization of science and research output valorization.

In-House Artists - Black Box Hub

ANNOUNCEMENT


Calling Armenia-based visionary artists! Enterprise Incubator Foundation (EIF) is looking for talented in-house artists for its Black Box Hub initiative implemented by Gyumri Technology Center (GTC) and powered by Artbox, Funded by the European Union in Armenia in the framework of the Katapult Creative Accelerator Program. This unique opportunity aims to bring aboard creative minds who will play a key role in shaping our special community.
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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