Nov. 7
17:00–20:00
Forskningsparken, OSLO

We invite you to learn more about latest trends in ML and AI and to the annual meeting of Tekna Big Data.

Meld meg på

We welcome all members of Tekna Big Data to the hybride annual meeting and two exciting talks. Right after the talks, we hold an annual meeting where you can hear more about our activity, challenges and future plans.

Program

This year in Machine Learning

During this informal talk, Rustam Mehmandarov and Marco Angel Bertani-Økland will discuss their top 5 trends for this year within machine learning. We will go into how these trends are affecting the ML landscape and why we think they are important. As a bonus, we will also mention what we believe are some of the emerging trends to follow up for next year.

Foundation models of the future: a hardware perspective

The AI landscape has changed dramatically over the past few years and is expected to change just as dramatically in the next few years. Models are migrating from dense transformers trained on single data formats performing single tasks, to general purpose "foundational" models that can be used by many for many different purposes. Lead times in hardware manufacture are counted in years so at Graphcore we invest a lot of time thinking about what the future of AI will bring. I will discuss this paradigm shift in AI from an algorithmic, system and economic perspective, as well as give our view on what the future may look like in this exciting area.

Note

The annual meeting is open to all members of Tekna Big Data. Matters to be dealt with at the annual meeting must be sent to the board no later than 4 weeks before. The annual meeting will be held in Norwegian, while talks in Engish.*

Practical things

We will provide snacks and drinks before and after the talks for you who come in person.

Location:

Room: Fauna
  • Marco Angel Bertani-Økland

    Chief Data Scientist

    EcoOnline AS Avd Oslo

    Marco Bertani-Økland is a mathematician working as Chief Data Scientist and head of the Machine Learning department at EcoOnline. He has over 15 years of experience in the industry. His area of expertise is Natural language processing and Information retrieval. Marco is very passionate about the responsible use of Machine learning, with a strong interest in Privacy, Fairness and Interpretable ML. He is motivated by building a sustainable future with technology.

  • Ellie Dobson

    Director of Data Science EMEA

    Arundo Analytics AS

    Ellie has 15 years experience building data-driven solutions in engineering organisations. She is a particle physicist by training, having worked as part of the Higgs discovery team at CERN. She has worked for the past decade for software companies in variety of industries, but with the focus on the application of advanced analytics and digitalisation to engineering disciplines. She is currently working at Graphcore, a British chip company that builds accelerators that run deep learning models.

  • Rustam Mehmandarov

    Sjefsingeniør

    Computas AS

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