We're always learning

And we love to share our knowledge.


Each year, we give about a dozen of talks at various educational and AI events worldwide.
The events below are just from 2019 till today. Clicking on the header to go to event website and/or talk recording.

Three interdisciplinary talks and a quiz with prizes.
  • Uczenie częściowo nadzorowane w klasyfikacji strumieni danych – Julia May
  • Modelowania dynamiki drona w locie za pomocą sieci neuronowych – Michał Okulski
  • Hostuj własną chmurę, czyli jak to zrobić w kilku krokach za pomocą YunoHost – Arkadiusz Wieczorek

Kacper Łodzikowski gave a talk about involving linguists in developing AI for language learning, as part of this year's AI-temed session An AI revolution? Not without speech and language sciences. How much further can AI go with technology and sciences working together?

We love sharing with the community what we've learned while implementing AI in learning products. This time, we gave 4 talks:
  • NLP modelling in learning products – Mateusz Półtorak
  • Explainable AI: Interpreting black-box model predictions using LIME – Iza Krysińska
  • Mixed Precision and Quantization in Neural Networks – Marek Rydlewski
  • Ephemeral Cloud environments in CI/CD process – Paweł Gruszczyński & Przemysław Iwanek

2022-05 AI workshop for kids

Our team spent an afternoon at the Pearson Poznan office to conduct an AI workshop for Ukrainian kids.

We've supported the GHOST conference since day one, and we were happy to do it again in 2022. Our Senior Data Scientist Mateusz Półtorak gave a talk about semantic information extraction.

Modeling difficulty of English exercises - probabilistic programming approach

How to plan the unpredictable? 7 good practices of organisation and management of fast-paced large-scale R&D projects

Managing ML projects 

Let the Product Lead: R&D Paradigms for recognition Models of Handwritten Math Expressions

Kubeflow as Machine Learning Toolkit in Cloud

How to efficiently model learner’s knowledge with recurrent neural networks

  1. How to model students' knowledge using recurrent neural networks
  2. Word sense disambiguation and mechanisms improving NLP

Technical Project Management in data science projects

  1. Word Sense Disambiguation with CNN
  2. Bayesian AB testing with SQL in Athena
  3. Training the Chrome Dinosaur 
Emotion recognition in raw speech recordings using convolutional neural networks and spectrograms

MLOps: how to shorten the ML service development pipeline

Emotion recognition in speech using neural nets


We believe that one learns by doing, so we invest our time and effort in preparing free introductory workshops. The following is a selection from 2019 and 2020. More coming soon!

Sign up for our upcoming free and open workshop on generative adversarial networks. Due to limited space, a waitlist is now available.

This time the topic was image recognition with convolutional neural networks. About 150 people signed up but our largest room can only accommodate 50. ;) The post-workshop survey showed that most people were very pleased with it.

Our Senior Data Scientists prepared a free introductory workshop about deep learning in Keras. The participants worked on a classic example: predicting house prices.

A 4-part series of workshops about building TensorFlow models on AWS. Our colleagues at Women in Machine Learning & Data Science picked 20 participants (80% females) who met with us every 2-3 weeks between December 2018 and February 2019. The participants received promotional AWS credits for a hands-on experience.

Community outreach

We’re proud supporters of the AI community in Poland, especially in our home city of Poznań.

Women in Machine Learning & Data Science

Over the past two years, we've worked with the Poznań chapter of WiMLDS to help organise meetups, workshops, and a conference.

R is our tool of choice for certain types of projects, so we've supported the Why R? conference series from day one.

We have been sponsoring and actively supporting Ghost for two years.

We've supported the past two editions of the ML in PL conference series.