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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.

Web Development Service - Black Box Hub

ANNOUNCEMENT


Enterprise Incubator Foundation (EIF)
and 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 are seeking proposals from seasoned web development service providers for an exciting project - dynamic and user-friendly e-commerce website paired with a booking/ticketing system. 

“Data Science for Business” master’s program

 

ANNOUNCEMENT


We are happy to announce the official start and first workshops by the NVIDIA Deep Learning Institute (DLI) Ambassadors, who are teaching at the “Data Science for Business” master’s program of Yerevan State University (YSU).


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 online workshops, which will take place on July 6-17 exclusively for verifiable academic students, staff, and researchers. Workshops will be led by the certified NVIDIA DLI Ambassadors in Armenia.

 

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

 

About This Workshop:

Workshops will consist of two modules:

  1. Fundamentals of Deep Learning for Computer Vision

This workshop teaches deep learning techniques for a range of computer vision tasks. After an introduction to deep learning, participants will advance to building and deploying deep learning applications for image classification and object detection, modifying their neural networks to improve their accuracy and performance, and implementing the techniques they have learned on a final project. At the end of the workshop, they will have access to additional resources to create new deep learning applications on their own.

      2. Fundamentals of Deep Learning for Multiple Data Types

This workshop uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. After a quick introduction to deep learning, the participants will advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning, while learning relevant computer vision, neural network, and natural language processing concepts. At the end of the workshop, they will be able to assess a broad spectrum of problems where deep learning can be applied.

 

Prerequisites:

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

 

The registration deadline is July 3, to apply please visit here.




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