Announcement of Computer Vision focused 55th


It is clear now, that Computer Vision helps to drive innovation, from science, robotics to self-driving cars. And this time we will go from micro to macro approach. You will learn how Computer Vision helps in microscopy and how it helps to ‘read’ huge passing trans and wagons on a railroad.

Join Computer Vision focused event at 24th May (Wednesday) 18:30, Zaļā iela 1, 4th floor (Microsoft Latvia office).

Agenda for Computer Vision focused 55th

  • Antons Mislēvičs from Microsoft will give a talk “Machine Learning in Image Recognition scenarios” (slides from presentation)
    In this session, we will start by guiding you through the most interesting recent developments in the world of Machine Learning in Image Recognition scenarios. We will then look at how machines “learn” and give you a quick intro into the exciting world of deep neural networks – perhaps one of the most popular machine learning algorithms today. Finally, we will discuss how you can introduce Machine Learning in your projects.
    (Language — Latvian)
    Tags: Machine Learning, Image Recognition, Artificial Neural Networks

Antons is a Senior Consultant, Microsoft and Lead Researcher, Department of Artificial Intelligence and Systems Engineering, Riga Technical University. Joined Microsoft as a consultant in 2008. He works with SharePoint Technologies for over 10 years. In this time, he participated in various SharePoint projects of different scale and complexity in over 15 countries, designing solution architectures and supporting developers. Over the last years Antons is working closely with largest Office 365 Dedicated customers. He is also an active member of SharePoint / Office 365 Dev Patterns & Practices (PnP) Core Team. Antons holds PhD degree in Engineering of Computer Systems and is a regular speaker at conferences and community events.

  • Agnis Jakubovics from Apply will give a talk “CV projects and related issues”
    He will give a brief talk about AI/CV technology used in several systems regarding media and microscopy and brief insight of what issues we have faced when developed those systems.
    (Language — Latvian)
    Tags: Computer Vision, Artificial Intelligence, Experience

Agnis is a Founder and CEO at Apply. He is innovative Latvian IT Entrepreneur creating Artificial Intelligence applications in the fields of Media & Science. He has more than 10 years of IT Project Management experience and has been working in Tieto, Lattelecom and Accenture.

  • Juris Puce from KleinTech Services will be giving presentation on actual uses of machine vision in combination with deep learning as for inspection of passing trains and wagons on railroad.
    Juris will provide information on what kind of tasks KleinTech Services and 4SmartStreets teams are solving as well as information on limitations of vision and deep learning and some ways to possibly overcome them by using common sense.
    (Language — Latvian)
    Tags: Deep learning, Machine Vision, Artificial Intelligence

Juris is a CEO of KleinTech Services, Partner in 4SmartStreets and a technology enthusiast with main focuses on finding ways to use technology in optimisation of different areas. The main expertise Juris has is in areas of DL/Machine vision and information security. Juris has more than 15 years of experience in technology and holds large amounts of different certifications, but more importantly has a lot of practical experience managing teams in related fields. Endomondo Challenge has finished. Please find here info about results and winners of challenge.


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